Ashwin Chenat profile photo 1 on Tal

Ashwin Chenat

Software Engineer · Backend & Infrastructure · Distributed Systems

Bengaluru

3+ years of work experience

Self-Employed
Nov 20241 yr 7 mosPresent

Remote

Worked independently as a backend and full-stack developer, delivering production ready applications for clients across multiple domains while concurrently upskilling in Data Structures, Algorithms, and System Design at Bosscoder Academy. • Built and shipped full-stack web applications using the MERN stack (MongoDB, Express.js, React, Node.js) for multiple client engagements across SaaS and productivity domains. • Designed and developed RESTful backend APIs with JWT-based authentication, role-based access control, and Redis caching optimizing for performance and security from day one. • Deployed client projects on AWS (EC2, S3) and Docker, ensuring production grade reliability and uptime. • Applied distributed system principles from academic study directly to freelance work including rate limiting, caching strategies, and scalable API architecture. • Independently managed end-to-end delivery: requirement gathering, system design, development, testing, and deployment.
Qure.ai
Jun 20231 yr 4 mosSep 2024

Bengaluru

• Managed and optimised Linux server environments supporting production workloads for Qure.ai's AI radiology platform ensuring reliability across services used by 50+ hospitals globally. • Owned Docker containerisation workflows for application deployment, improving environment consistency and reducing deployment errors across the engineering team. • Managed cloud infrastructure across AWS and Azure platforms provisioning, configuring, and maintaining services to support backend application uptime and scalability. • Automated infrastructure configuration and operational tasks using Ansible, reducing manual effort and enabling faster, repeatable environment provisioning. • Maintained Fortinet firewall configurations to enforce network security policies protecting production backend systems and sensitive healthcare data. • Implemented monitoring and performance tuning pipelines using Datadog, proactively identifying infrastructure bottlenecks and resolving issues before they impacted application availability. • Collaborated with backend engineering teams to support operational goals bridging infrastructure and software delivery to improve system reliability end-to-end.
Cloud Enabled
Mar 20234 mosJun 2023

Bengaluru, Karnataka, India

- Managed cloud infrastructure on AWS (EC2, S3, RDS, IAM, VPC) to support backend application deployments and testing environments. - Automated infrastructure provisioning and monitoring using Python, Bash, and Terraform, reducing environment setup time by 50%. - Assisted in designing high-availability architectures involving load balancing, fault tolerance, and optimized database access patterns. - Improved monitoring and alerting pipelines using CloudWatch and custom scripts to enhance service uptime.

Ashwin’s AI Stack

deepmind
deepmind
gemini
gemini
hermes agent
hermes agent
railway
railway

Education

Bosscoder Academy

Computer Software Engineering

Bosscoder Academy

20251 yr2026
Reva University

Bachelor's degree, Cloud computing and big data

Reva University

20203 yrs2023

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Headline

Software Engineer · Backend & Infrastructure · Distributed Systems

About

Software Engineer with 2+ years of experience across backend development, infrastructure, and distributed systems currently focused on backend engineering and scalable API design. Previously at Qure.ai (Series C AI healthcare, 50+ hospitals globally) as a DevOps & Infrastructure Engineer, where I owned production Linux environments, Docker deployments, AWS/Azure cloud infrastructure, CI/CD pipelines, and monitoring with Datadog supporting backend services at scale in a regulated healthcare environment. Since then, I've been deliberately building backend engineering depth through freelance client work and personal projects: → Distributed Rate Limiter — Token Bucket + Sliding Window algorithms, microservice architecture, ~47 req/s throughput, p95 latency under 100ms (Node.js, Redis, Docker, k6) → DevPath — Full-stack MERN platform with Redis-powered recommendation engine, JWT auth, 45% API latency reduction via MongoDB optimisation → SocialPulse — Real-time analytics backend processing high-volume social data streams, sub-50ms response times (FastAPI, Node.js, MongoDB, Redis) Core skills: Node.js · Express.js · MongoDB · Redis · AWS · Docker · Python · Linux · Ansible · Data structure and Algorithms · Datadog · System Design · CI/CD I bring something most backend engineers don't , I've lived on both sides of the deployment boundary. I know how my code behaves in production because I've been the one keeping that production running. 📩 Reach me at: cashwin2002@gmail.com

Location

Bengaluru

AI stack

deepmind

gemini

hermes agent

railway

Work experience

Software Engineer at Self-Employed, Nov 2024 - Present · 1 yr 7 mos, Remote, Worked independently as a backend and full-stack developer, delivering production ready applications for clients across multiple domains while concurrently upskilling in Data Structures, Algorithms, and System Design at Bosscoder Academy. • Built and shipped full-stack web applications using the MERN stack (MongoDB, Express.js, React, Node.js) for multiple client engagements across SaaS and productivity domains. • Designed and developed RESTful backend APIs with JWT-based authentication, role-based access control, and Redis caching optimizing for performance and security from day one. • Deployed client projects on AWS (EC2, S3) and Docker, ensuring production grade reliability and uptime. • Applied distributed system principles from academic study directly to freelance work including rate limiting, caching strategies, and scalable API architecture. • Independently managed end-to-end delivery: requirement gathering, system design, development, testing, and deployment.

Software Engineer (Backend & Infrastructure) at Qure.ai, Jun 2023 - Sep 2024 · 1 yr 4 mos, Bengaluru, • Managed and optimised Linux server environments supporting production workloads for Qure.ai's AI radiology platform ensuring reliability across services used by 50+ hospitals globally. • Owned Docker containerisation workflows for application deployment, improving environment consistency and reducing deployment errors across the engineering team. • Managed cloud infrastructure across AWS and Azure platforms provisioning, configuring, and maintaining services to support backend application uptime and scalability. • Automated infrastructure configuration and operational tasks using Ansible, reducing manual effort and enabling faster, repeatable environment provisioning. • Maintained Fortinet firewall configurations to enforce network security policies protecting production backend systems and sensitive healthcare data. • Implemented monitoring and performance tuning pipelines using Datadog, proactively identifying infrastructure bottlenecks and resolving issues before they impacted application availability. • Collaborated with backend engineering teams to support operational goals bridging infrastructure and software delivery to improve system reliability end-to-end.

Devops intern at Cloud Enabled, Mar 2023 - Jun 2023 · 4 mos, Bengaluru, Karnataka, India, - Managed cloud infrastructure on AWS (EC2, S3, RDS, IAM, VPC) to support backend application deployments and testing environments. - Automated infrastructure provisioning and monitoring using Python, Bash, and Terraform, reducing environment setup time by 50%. - Assisted in designing high-availability architectures involving load balancing, fault tolerance, and optimized database access patterns. - Improved monitoring and alerting pipelines using CloudWatch and custom scripts to enhance service uptime.

Education

Computer Software Engineering, Bosscoder Academy

Bachelor's degree, Cloud computing and big data, Reva University

Public links

github: https://github.com/0xAshwinchenat