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Ayush Jaipuriyar

Fullstack AI Software Engineer | MERN | React, Next.js, Nest JS Node.js, Express, TypeScript | JAVA, Spring Boot | OpenAI, Claude, RAG, ML | AWS, Docker, Kubernetes, CI/CD, GitHub Actions | Ex @ Microsoft

Bengaluru

2+ years of work experience

SeaBuddy
Feb 20265 mosPresent

Singapore

Working as a Full Stack / Backend Engineer on a multi-tenant, AI-powered platform, focusing on scalable backend systems, cloud infrastructure, and real-time applications. Backend, APIs & System Design Designed and developed scalable REST APIs using Node.js, Express, and PostgreSQL, handling 10,000+ daily requests Built high-performance backend systems with optimized SQL queries, reducing API latency by 56% (320ms → 140ms) Applied system design principles for multi-tenant architecture, ensuring data isolation and scalability AI / LLM / RAG Systems Built a RAG-based DocuChat system using Cloudflare AutoRAG, Workers, and Hono for AI-powered document querying Implemented document ingestion, chunking, and retrieval pipelines for LLM-based applications Cloud, Infrastructure & Async Processing Designed multi-tenant storage using Cloudflare R2 and KV with secure tenant isolation Built event-driven pipelines using Cloudflare Queues for asynchronous PDF processing Worked with serverless and edge computing using Cloudflare Workers Real-time Systems & Performance Developed a real-time chat system using WebSockets supporting 200+ concurrent users with <200ms latency Improved system performance and throughput through caching and query optimization Mobile Development Built and deployed a cross-platform mobile application using React Native (iOS & Android), used by 1,000+ users Product & Engagement Systems Architected a gamification system (coins/rewards) to improve DAU and user retention Implemented event tracking system capturing 50,000+ daily events for analytics and dashboards Tech Stack (for search): Node.js, TypeScript, Express, PostgreSQL, Sequelize, React Native, WebSockets, Cloudflare Workers, R2, KV, Queues, AutoRAG, LLM, RAG, REST APIs, System Design, Backend Engineering, Cloud Computing, Serverless, Edge Computing
Healthtrip
Jan 20249 mosSep 2024

Noida, Uttar Pradesh, India

Contributed as a Software Engineer / Backend Developer / DevOps Engineer to the design, development, and deployment of a multi-tenant healthcare platform serving 10K+ daily users globally. Focused on backend scalability, cloud infrastructure, and DevOps automation for performance and reliability. Backend Migrated 50% of a PHP monolith to modular NestJS microservices, boosting scalability and reliability by 75%. Designed RESTful & GraphQL APIs with 40% higher throughput and third-party integrations. Built an API Gateway for secure JWT-based partner access with rate limiting. Applied system design & API architecture for fault-tolerant, load-balanced services. Used Kafka for async event handling and Redis caching (-90% data retrieval time). Optimized SQL queries and indexing, reducing latency by 70%. DevOps & Infrastructure Built CI/CD pipeline (Jenkins + GitHub Actions), cutting deployments from 3 hrs → 10 min. Containerized services with Docker Compose and deployed Kubernetes clusters. Applied IaC for AWS provisioning; configured auto-scaling, load balancing, and service discovery. Set up CloudWatch + Prometheus/Grafana for monitoring and alerts. Defined SLOs/SLIs and automated fault recovery to maintain 99.9% uptime. Cloud & Security Managed 10+ AWS instances, S3, CloudFront, Cloudflare CDN/WAF. Implemented SSL/TLS, DDoS prevention, OWASP standards, and encrypted data at rest/in-transit. Used AWS KMS for secrets management, reducing security risks by 30%. Full Stack & Collaboration Built translation dashboard (Next.js + REST APIs), cutting manual edits by 50%. Led backend development and stakeholder communication as an intern. Wrote documentation, API specs, and system diagrams for onboarding. Tech Stack: Node.js, NestJS, Express, TypeScript, React, Next.js, Redis, PostgreSQL, Kafka, Elasticsearch, AWS, Ec2, CloudFront, CloudWatch, Cloudflare, Docker, Kubernetes, Jenkins, GitHub Actions, GraphQL, Kong Gateway, JWT, CI/CD, IaC, Monitoring, OWASP, Agile/Scrum
Healthtrip
Jan 20249 mosSep 2024

• Increased throughput, 120 to 210 RPS by migrating a PHP to NestJS, improving reliability and scalability. • Delivered REST APIs, GraphQL APIs, and WebSockets, reducing response times from 220ms to 120ms. • Implemented Redis caching, reducing DB reads by 70% and latency from 300ms to 30ms (90%). • Introduced a custom translation system for 9 languages, driving 75% higher engagement (5K to 8.75K daily active users) in non-English markets. • Implemented multilingual Elasticsearch search, accelerating queries from 50 to 80 results/sec. • Engineered a Kafka notification pipeline processing 10K+ events/day, cutting P95 latency by 30%. • Automated CI/CD with GitHub Actions and Docker on AWS (EC2/S3/CloudFront) and Cloudflare, reducing load time from 3.2s to 1.6s and deployments from hours to minutes.
AST Consulting
Jun 20237 mosDec 2023

Remote

Contributed to the design and deployment of a SaaS analytics and automation platform serving thousands of users globally. Focused on scalable backend services, cloud infrastructure, CI/CD automation, and system reliability. Backend Engineering Developed modular NestJS microservices improving maintainability and scalability by 60%. Designed RESTful & GraphQL APIs for analytics and automation with 35% higher throughput. Used Redis caching and async job queues to cut response latency by 45%. Applied clean architecture, API design, and fault-tolerant patterns for reliability. Cloud Infrastructure Built a CDN with AWS S3, CloudFront, and EC2, reducing image load time by 50% and latency by 40%. Automated provisioning with Infrastructure as Code, enabling faster scaling. Configured SSL/TLS, IAM, and Cloudflare WAF for DDoS prevention and secure access. DevOps & CI/CD Built CI/CD pipelines (GitHub Actions + Docker), cutting release cycles from hours to minutes. Deployed containerized microservices with Docker Compose and Kubernetes for 95%+ uptime. Added observability via Prometheus/Grafana and logging for system insights. Automation & Integrations Built Telegram bot automating workflows for 25% of users. Integrated Stripe & Chargebee for payments, automating billing and subscriptions. Experimented with OpenAI APIs and internal ML models for content generation and analytics. Collaboration & Agile Set up structured GitHub code reviews, reducing post-release bugs by 30%. Improved feature delivery speed by 20% through sprint planning and CI feedback loops. Documented APIs, architecture, and deployment for cross-functional collaboration. Tech Stack: NestJS, Node.js, TypeScript, MongoDB, Redis, Docker, Kubernetes, GitHub Actions, AWS (EC2, S3, CloudFront), Cloudflare, Prometheus, Grafana, Stripe, Chargebee, OpenAI API, Telegram Bot, GraphQL, IaC, CI/CD, Agile/Scrum.
GAIL (India) Limited
Jun 20222 mosJul 2022

Noida, Uttar Pradesh, India

Full Stack Developer Developed a high-performance, responsive web platform from the ground up using the MERN stack (MongoDB, Express.js, React.js, Node.js). Focused on performance, scalability, and secure architecture for a seamless user experience across all devices. Frontend Development Designed a sleek, minimal UI with reusable React components, reducing load time by 30% and improving user engagement. Implemented mobile-first responsive layouts ensuring consistent performance across browsers and screen sizes. Optimized bundle size, lazy loading, and image delivery for faster page rendering and accessibility. Backend & Database Engineering Built a secure RESTful API backend using Express.js and MongoDB for dynamic data handling. Implemented authentication, authorization, and form validation to prevent injection and CSRF attacks. Applied system design and API architecture principles for scalable, fault-tolerant backend services. Integrated caching and query optimization to improve data retrieval efficiency and reduce response latency. Security, Performance & Deployment Strengthened application security using OWASP best practices and HTTPS/TLS encryption. Automated build and deployment pipelines using GitHub Actions and Docker for faster, reliable releases. Monitored uptime and error logs through lightweight observability tools to ensure stable performance. Collaboration & Documentation Coordinated with stakeholders to refine requirements, plan sprints, and deliver features on time. Wrote comprehensive documentation covering API endpoints, data models, and deployment workflows. Tech Stack: MongoDB, Express.js, React.js, Node.js, JavaScript, HTML5, CSS3, Docker, GitHub Actions, REST APIs, OWASP, Responsive Design, UI/UX Optimization, CI/CD, Cloud Deployment.
Microsoft
May 20223 mosJul 2022

• Built a recommendation system using Python to predict movies that users may be interested in based on their past movie ratings. • Obtained the dataset for the project from MovieLens. • Programmed an interactive web page using ReactJS to acquire movie ratings from users and exhibit the recommended movies. • Utilized Python as the backend programming language with designated endpoints for receiving and transmitting requests for getting recommended movies and submitting movie ratings.

Education

University of Glasgow

Master of Science - MS, Computer Science

University of Glasgow

20241 yr2025
Manipal University Jaipur

Bachelor of Technology - BTech, Information Technology

Manipal University Jaipur

20204 yrs2024

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Headline

Fullstack AI Software Engineer | MERN | React, Next.js, Nest JS Node.js, Express, TypeScript | JAVA, Spring Boot | OpenAI, Claude, RAG, ML | AWS, Docker, Kubernetes, CI/CD, GitHub Actions | Ex @ Microsoft

About

I’m a Software Engineer who designs, builds, and deploys fast, secure, and scalable web applications, APIs, and cloud-native systems. I work across the stack using Node.js, NestJS, React, Next.js, TypeScript, and AWS services like EC2, Lambda, CloudFront, and S3. My work blends full-stack development, backend engineering, cloud architecture, and DevOps automation. I focus on performance, reliability, and building systems that scale smoothly under heavy load. Tech Stack: Java, JavaScript, TypeScript Python, C/C++, Node.js, NestJS, React, Next.js, Express, REST, GraphQL, WebSockets, PostgreSQL, MongoDB, Redis, Elasticsearch, ELK stack. Focus Areas: System design, microservices, distributed systems, scalability, performance optimization, high availability, fault tolerance, and load balancing. Cloud & DevOps: AWS (EC2, S3, CloudFront, Lambda), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, GitLab CI, IaC, auto-scaling, Prometheus, CloudWatch. I follow OWASP standards, secure coding practices, JWT authentication, and AWS KMS for production deployments. Experience Highlights: • Healthtrip: Migrated a PHP monolith to NestJS microservices, improving performance by ~75% for 10K+ users. • Built Redis caching, Elasticsearch multilingual search (9 languages), and AWS-powered CI/CD with zero downtime. • AST Consulting: Engineered scalable NestJS backends with MongoDB + Docker. Built an AWS-based CDN reducing latency 40% and image load time 50%. • Automated billing (Stripe, Chargebee) and analytics (GA, MS Clarity), increasing conversions 30%. Projects & Open Source: • LeetCode MCP Server: High-performance MCP server cutting manual work 80%. • Segmentor: FFmpeg-based downloader/assembler with 10× faster video processing, published to PyPI & AUR. • Near-RT RIC xApps: ML-based 5G malicious traffic detection achieving 76% F1 in real time. • Vantage-14are05: Linux power-tuning utility reducing battery drain 20–30%, 50+ stars. I’m passionate about distributed systems, cloud infrastructure, and AI-driven automation. Open to Software, Backend, Full-Stack, DevOps, and Cloud Engineering roles (remote or hybrid).

Location

Bengaluru

Work experience

Software Engineer at SeaBuddy, Feb 2026 - Present · 5 mos, Singapore, Working as a Full Stack / Backend Engineer on a multi-tenant, AI-powered platform, focusing on scalable backend systems, cloud infrastructure, and real-time applications. Backend, APIs & System Design Designed and developed scalable REST APIs using Node.js, Express, and PostgreSQL, handling 10,000+ daily requests Built high-performance backend systems with optimized SQL queries, reducing API latency by 56% (320ms → 140ms) Applied system design principles for multi-tenant architecture, ensuring data isolation and scalability AI / LLM / RAG Systems Built a RAG-based DocuChat system using Cloudflare AutoRAG, Workers, and Hono for AI-powered document querying Implemented document ingestion, chunking, and retrieval pipelines for LLM-based applications Cloud, Infrastructure & Async Processing Designed multi-tenant storage using Cloudflare R2 and KV with secure tenant isolation Built event-driven pipelines using Cloudflare Queues for asynchronous PDF processing Worked with serverless and edge computing using Cloudflare Workers Real-time Systems & Performance Developed a real-time chat system using WebSockets supporting 200+ concurrent users with <200ms latency Improved system performance and throughput through caching and query optimization Mobile Development Built and deployed a cross-platform mobile application using React Native (iOS & Android), used by 1,000+ users Product & Engagement Systems Architected a gamification system (coins/rewards) to improve DAU and user retention Implemented event tracking system capturing 50,000+ daily events for analytics and dashboards Tech Stack (for search): Node.js, TypeScript, Express, PostgreSQL, Sequelize, React Native, WebSockets, Cloudflare Workers, R2, KV, Queues, AutoRAG, LLM, RAG, REST APIs, System Design, Backend Engineering, Cloud Computing, Serverless, Edge Computing

Full Stack Engineer at Healthtrip, Jan 2024 - Sep 2024 · 9 mos, Noida, Uttar Pradesh, India, Contributed as a Software Engineer / Backend Developer / DevOps Engineer to the design, development, and deployment of a multi-tenant healthcare platform serving 10K+ daily users globally. Focused on backend scalability, cloud infrastructure, and DevOps automation for performance and reliability. Backend Migrated 50% of a PHP monolith to modular NestJS microservices, boosting scalability and reliability by 75%. Designed RESTful & GraphQL APIs with 40% higher throughput and third-party integrations. Built an API Gateway for secure JWT-based partner access with rate limiting. Applied system design & API architecture for fault-tolerant, load-balanced services. Used Kafka for async event handling and Redis caching (-90% data retrieval time). Optimized SQL queries and indexing, reducing latency by 70%. DevOps & Infrastructure Built CI/CD pipeline (Jenkins + GitHub Actions), cutting deployments from 3 hrs → 10 min. Containerized services with Docker Compose and deployed Kubernetes clusters. Applied IaC for AWS provisioning; configured auto-scaling, load balancing, and service discovery. Set up CloudWatch + Prometheus/Grafana for monitoring and alerts. Defined SLOs/SLIs and automated fault recovery to maintain 99.9% uptime. Cloud & Security Managed 10+ AWS instances, S3, CloudFront, Cloudflare CDN/WAF. Implemented SSL/TLS, DDoS prevention, OWASP standards, and encrypted data at rest/in-transit. Used AWS KMS for secrets management, reducing security risks by 30%. Full Stack & Collaboration Built translation dashboard (Next.js + REST APIs), cutting manual edits by 50%. Led backend development and stakeholder communication as an intern. Wrote documentation, API specs, and system diagrams for onboarding. Tech Stack: Node.js, NestJS, Express, TypeScript, React, Next.js, Redis, PostgreSQL, Kafka, Elasticsearch, AWS, Ec2, CloudFront, CloudWatch, Cloudflare, Docker, Kubernetes, Jenkins, GitHub Actions, GraphQL, Kong Gateway, JWT, CI/CD, IaC, Monitoring, OWASP, Agile/Scrum

Full Stack Engineer at Healthtrip, Jan 2024 - Sep 2024 · 9 mos, • Increased throughput, 120 to 210 RPS by migrating a PHP to NestJS, improving reliability and scalability. • Delivered REST APIs, GraphQL APIs, and WebSockets, reducing response times from 220ms to 120ms. • Implemented Redis caching, reducing DB reads by 70% and latency from 300ms to 30ms (90%). • Introduced a custom translation system for 9 languages, driving 75% higher engagement (5K to 8.75K daily active users) in non-English markets. • Implemented multilingual Elasticsearch search, accelerating queries from 50 to 80 results/sec. • Engineered a Kafka notification pipeline processing 10K+ events/day, cutting P95 latency by 30%. • Automated CI/CD with GitHub Actions and Docker on AWS (EC2/S3/CloudFront) and Cloudflare, reducing load time from 3.2s to 1.6s and deployments from hours to minutes.

Software Engineer at AST Consulting, Jun 2023 - Dec 2023 · 7 mos, Remote, Contributed to the design and deployment of a SaaS analytics and automation platform serving thousands of users globally. Focused on scalable backend services, cloud infrastructure, CI/CD automation, and system reliability. Backend Engineering Developed modular NestJS microservices improving maintainability and scalability by 60%. Designed RESTful & GraphQL APIs for analytics and automation with 35% higher throughput. Used Redis caching and async job queues to cut response latency by 45%. Applied clean architecture, API design, and fault-tolerant patterns for reliability. Cloud Infrastructure Built a CDN with AWS S3, CloudFront, and EC2, reducing image load time by 50% and latency by 40%. Automated provisioning with Infrastructure as Code, enabling faster scaling. Configured SSL/TLS, IAM, and Cloudflare WAF for DDoS prevention and secure access. DevOps & CI/CD Built CI/CD pipelines (GitHub Actions + Docker), cutting release cycles from hours to minutes. Deployed containerized microservices with Docker Compose and Kubernetes for 95%+ uptime. Added observability via Prometheus/Grafana and logging for system insights. Automation & Integrations Built Telegram bot automating workflows for 25% of users. Integrated Stripe & Chargebee for payments, automating billing and subscriptions. Experimented with OpenAI APIs and internal ML models for content generation and analytics. Collaboration & Agile Set up structured GitHub code reviews, reducing post-release bugs by 30%. Improved feature delivery speed by 20% through sprint planning and CI feedback loops. Documented APIs, architecture, and deployment for cross-functional collaboration. Tech Stack: NestJS, Node.js, TypeScript, MongoDB, Redis, Docker, Kubernetes, GitHub Actions, AWS (EC2, S3, CloudFront), Cloudflare, Prometheus, Grafana, Stripe, Chargebee, OpenAI API, Telegram Bot, GraphQL, IaC, CI/CD, Agile/Scrum.

Full Stack Intern at GAIL (India) Limited, Jun 2022 - Jul 2022 · 2 mos, Noida, Uttar Pradesh, India, Full Stack Developer Developed a high-performance, responsive web platform from the ground up using the MERN stack (MongoDB, Express.js, React.js, Node.js). Focused on performance, scalability, and secure architecture for a seamless user experience across all devices. Frontend Development Designed a sleek, minimal UI with reusable React components, reducing load time by 30% and improving user engagement. Implemented mobile-first responsive layouts ensuring consistent performance across browsers and screen sizes. Optimized bundle size, lazy loading, and image delivery for faster page rendering and accessibility. Backend & Database Engineering Built a secure RESTful API backend using Express.js and MongoDB for dynamic data handling. Implemented authentication, authorization, and form validation to prevent injection and CSRF attacks. Applied system design and API architecture principles for scalable, fault-tolerant backend services. Integrated caching and query optimization to improve data retrieval efficiency and reduce response latency. Security, Performance & Deployment Strengthened application security using OWASP best practices and HTTPS/TLS encryption. Automated build and deployment pipelines using GitHub Actions and Docker for faster, reliable releases. Monitored uptime and error logs through lightweight observability tools to ensure stable performance. Collaboration & Documentation Coordinated with stakeholders to refine requirements, plan sprints, and deliver features on time. Wrote comprehensive documentation covering API endpoints, data models, and deployment workflows. Tech Stack: MongoDB, Express.js, React.js, Node.js, JavaScript, HTML5, CSS3, Docker, GitHub Actions, REST APIs, OWASP, Responsive Design, UI/UX Optimization, CI/CD, Cloud Deployment.

Mente at Microsoft Engage 2022 at Microsoft, May 2022 - Jul 2022 · 3 mos, • Built a recommendation system using Python to predict movies that users may be interested in based on their past movie ratings. • Obtained the dataset for the project from MovieLens. • Programmed an interactive web page using ReactJS to acquire movie ratings from users and exhibit the recommended movies. • Utilized Python as the backend programming language with designated endpoints for receiving and transmitting requests for getting recommended movies and submitting movie ratings.

Education

Master of Science - MS, Computer Science, University of Glasgow

Bachelor of Technology - BTech, Information Technology, Manipal University Jaipur