Backend Engineering • Distributed Systems • Applied AI
Computer Science & Data Science @ DJSCE, Mumbai
I build software that has to work beyond the demo. My sweet spot is turning complicated workflows into reliable backends, clean APIs, useful data pipelines, and products people actually use.
- Trading systems: Broker reconciliation, market-data validation, backtest analytics, and cloud-based execution workflows.
- Backend engineering: API design, SQL optimization, distributed workloads, and production debugging.
- AI-powered products: LLM integrations, RAG, knowledge graphs, and document-processing pipelines.
- Full-stack delivery: From database design and backend logic to responsive, performance-focused interfaces.
I care about correctness, performance, and the details that make systems dependable.
Aug 2026 - Oct 2026 · Mumbai, Hybrid
- Built features for Orion RMS, a trading risk and operations platform tracking market feeds, broker orders, strategy P&L, backtests, and alerts.
- Developed IBKR broker reconciliation across paper and live accounts to identify discrepancies in strategy signals, executed positions, fees, and account state.
- Validated minute-level OHLC data and investigated live-trade versus backtest drift; maintained DuckDB backtest history with performance metrics and reproducible exports.
Jul 2026 · Remote
- Worked across the trading execution backend, connecting market-data ingestion, strategy deployment, and broker-facing order execution.
- Migrated frequently accessed data workloads from AWS S3 to EBS and debugged asynchronous deployments across SQS, Lambda, and ECS.
May 2026 - Jul 2026 · Mumbai, On-site
- Built a React, Node.js, and Express lead-screening workflow to prevent existing customers from being re-imported into marketing CRM campaigns.
- Optimized SQL matching across millions of customer records and integrated PAN and Aadhaar verification APIs with validation and error handling.
Jan 2026 - Jun 2026 · Melbourne, Remote
- Built a TypeScript lead-intelligence pipeline that processed 1,200+ public interactions, deduplicated records in PostgreSQL, and ranked opportunities through a four-tier intent model.
- Connected prioritized leads to WhatsApp follow-ups and shipped a role-based React + FastAPI dashboard, reducing reported coordination effort by 50%.
Feb 2026 - Apr 2026 · Mumbai
- Owned frontend and backend feature delivery, creating responsive interfaces, reusable components, and REST APIs for internal workflows.
- Improved database access and API response handling while debugging cross-layer issues and adding regression checks for more stable releases.
Sep 2025 - Jan 2026 · Remote
- Improved Next.js Lighthouse performance scores by 40%+ through component splitting and lazy loading.
- Reduced reported layout-shift regressions by 60%+ and shortened design-to-release turnaround by 30% with reusable, accessible React components.
- Languages: Python, TypeScript, JavaScript, Java, SQL, C++, C
- Frameworks: React, Next.js, FastAPI, Node.js, Express.js, Tailwind CSS, SQLAlchemy
- Cloud & backend: AWS ECS, Lambda, S3, EBS, SQS, Docker, GitHub Actions, REST APIs, OAuth, JWT, WebSockets, SSE
- Databases: PostgreSQL, CockroachDB, DuckDB, MongoDB, Supabase, Neo4j, ChromaDB
- AI & ML: LLMs, RAG, LangChain, LangGraph, Mem0, Graphiti, OCR pipelines
- 3x Hackathon Podium Finisher
- Machine Learning Head at the DJS Society for Data Science, designing ML problem statements, validating datasets, and developing evaluation rubrics.
- Supported technical events with 800+ registrations and 8+ sponsors each, working across planning and sponsor coordination.
- B.Tech in Computer Science and Engineering (Data Science) at Dwarkadas J. Sanghvi College of Engineering, 2024 - 2028.