Headline

Backend Engineer • AI/LLM Engineer • Data Science | Java, Python, Spring Boot, FastAPI, GenAI

About

I’m a Backend & GenAI Engineer with over 2 years of experience building scalable, reliable, and high-performance systems across e-commerce, SaaS, and early-stage startup environments. My work spans both traditional backend engineering and modern AI-driven architectures, allowing me to build systems that are fast, intelligent, and production-ready.I’ve worked on multiple impactful products—supporting WizCommerce’s B2B commerce platform, contributing to Fynix.ai (an AI-powered coding and data-analysis assistant), and launching 0→1 platforms like Growder and Inpackaging in early-stage startup settings. Across these roles, I’ve owned critical backend modules, designed microservices, optimized APIs, improved system performance by 80–90%, and built automation and data pipelines at scale.My technical skill set includes Java, Spring Boot, Python, FastAPI, PostgreSQL, Redis, RabbitMQ, Kafka, Elasticsearch, AWS, GCP, and production-grade observability tools. On the AI side, I work with LLMs, LangChain, LangGraph, RAG pipelines, vector search, embeddings, and workflow automation—enabling AI features to integrate seamlessly into backend systems.With strong fundamentals in system design, DSA (300+ problems), and Machine Learning & AI, I enjoy solving complex engineering challenges, improving architecture, and building products that deliver real business impact. I thrive in fast-paced environments, collaborating with cross-functional teams, taking ownership, and driving ideas from concept to production.

Location

Bengaluru

AI stack

antigravity

codex

cursor

Work experience

Software Development Engineer I at WizCommerce, Sep 2025 - Present · 1 yr, Bengaluru, Karnataka, India, - Developed and maintained Python FastAPI microservices powering the B2B e-commerce platform, improving backend reliability and reducing system errors by more than 32%. - Improved Elasticsearch search experience by adding fuzzy search, relevance scoring, and query restructuring, ensuring high availability and more accurate results with faster response times across product listings. - Optimized high-traffic APIs, reducing critical endpoint latency by 80% and increasing overall system throughput by 35%. - Built and enhanced the Payment Terms module with dynamic tenant-level configurations, allowing enterprise clients to define custom payment rules, schedules, and workflows with full flexibility. - Built the Invoice Clearance system from scratch and implemented a parallelized batch migration pipeline (bulk APIs, batching, and concurrency controls) to migrate 1M+ records between PostgreSQL and Elasticsearch at 1,000+ documents/sec sustained throughput. - Improved system scalability by applying composite indexing, SQL query optimization, and horizontally scaling Elasticsearch with sharding—resulting in a 45% increase in system throughput. - Implemented Redis based caching for tenant settings, reducing repetitive DB reads by 70% and cutting configuration load times by 65%. - Resolved high-impact P0/P1 production incidents during on-call, significantly reducing average resolution time and consistently maintaining near-zero downtime for clients. - Supported backend optimizations during rapid company growth as WizCommerce secured its $8M Series A funding round.

SDE - GenAI at Fynd (Shopsense Retail Technologies Ltd.), Feb 2025 - Aug 2025 · 7 mos, Mumbai, Maharashtra, India, - Led backend development for the Fynix AI coding assistant, building shared services powering the IntelliJ and VS Code extensions and the Fynix web platform; additionally implemented the IntelliJ extension’s UI using Java, Kotlin, and IntelliJ SDK. - Improved codebase indexing speed by 90%+ through optimization of embedding models, vector databases, and keyword/vector search for fast, context-rich LLM interactions. - Designed modular ETL pipelines using Strategy and Factory patterns to integrate GitHub, GitLab, Azure DevOps, Quip, Google Docs and BigQuery. - Engineered large-scale data ingestion pipelines to integrate Stack Overflow and public GitHub datasets, enriching the system context and improving LLM reasoning and retrieval quality. - Boosted AI accuracy with user-intent detection, prompt engineering, improved RAG workflows, and LLM optimization integrated with OpenAI and Claude APIs. - Expanded Fynix from a coding assistant to a data-analysis agent by building an intelligent workflow using LangChain and LangGraph. - Implemented full-stack observability and monitoring via Sentry, Prometheus, Grafana, and New Relic; automated daily Geckoboard dashboards and LLM token-usage tracking with Slack reporting. - Ensured SOC 2 and GDPR compliance by resolving issues flagged by Harbour, Sonar, BlackDuck, and Fortify; built a standardized exception-handling system with unified error codes.

Career transition at Career Break, Jun 2024 - Jan 2025 · 8 mos, - Completed Master of Computer Applications (MCA) with specialization in Machine Learning & Artificial Intelligence from Amity University. - Pursued and completed the Scaler DSML Certification focused on Data Science, Machine Learning, and Deep Learning. - Focused on upskilling through hands-on projects in GenAI, LLMs, LangChain, and system design, and preparing for technical roles aligned with my career goals. - Stayed current with backend engineering best practices, cloud technologies, and AI frameworks to ensure a smooth transition back to industry.

Backend Engineer (Early-Stage Startup Experience) at Growder Technovations Pvt Ltd & Ompax Lifestyle Pvt Ltd, Mar 2023 - May 2024 · 1 yr 3 mos, Surat, Gujarat, India, - Spearheaded backend engineering to cut order processing time by 60%, improving operational efficiency and customer satisfaction through optimized workflows. - Designed and implemented a secure, scalable User Management Module with JWT auth, session handling, and solid LLD/HLD principles, eliminating access issues and strengthening security. - Enhanced the Order Management System using Spring Boot and microservices, achieving 80%+ performance gains through refined entity modeling and clean architecture. - Built reusable, configuration-driven APIs enabling smooth integration with third-party platforms like Shiprocket and Shopify, reducing operational overhead and costs. - Automated internal workflows across warehousing, design, and logistics to streamline inventory sync, dispatch scheduling, and vendor communication, reducing manual work significantly. - Performed operational data analysis to identify performance trends, improving process efficiency by 25% and cutting reporting time by 40% through real-time dashboards. - Delivered fault-tolerant, high-throughput backend services using Java, Spring Boot, PostgreSQL, Redis, RabbitMQ, AWS, Bitbucket, and CI/CD pipelines. - Led the launch of Growder, a B2B materials marketplace, delivering the platform in 4 months through contributions to early-stage strategy, planning, and backend implementation. - Spearheaded Inpackaging, architecting microservices from scratch and coordinating a 7+ developer team to ensure modular, scalable, and efficient delivery. - Partnered with business, frontend, and QA teams to ensure seamless cross-service integration and maintain agile release cycles. - Diagnosed and resolved performance bottlenecks, improving response times by 30% and increasing throughput under peak load. - Analyzed platform usage patterns, turning insights into customer experience improvements and supporting product and marketing strategies.

Education

Data Science & Machine Learning, Information Technology, Scaler

Master of Computer Applications - MCA, Machine Learning & Artificial Intelligence, amity University