Work experience

• Software Engineer

  Pixlr

  2025.03-2025.05

  (3 months)

  • Designed and deployed microservices for high-volume image processing and asset management in Node.js, scaling to millions of users with RabbitMQ-driven task orchestration and caching. • Refactored monolithic REST endpoints into GraphQL APIs, reducing latency by over 30% through resolver optimisation and Redis/CDN caching. • Implemented CI/CD pipelines on GitHub Actions and Kubernetes, automating testing and releases and collaborating with product teams to improve SEO and traffic.
• Founding Software Engineer

  Stealth AI Startup

  2024.11-2025.03

  (5 months)

  • Architected a real-time collaboration platform with FastAPI, GraphQL and WebSockets, delivering a microservice-based backend and API gateway supporting over 100 K concurrent users under 200 ms latency. • Built secure RESTful and GraphQL APIs for LLM inference and user management with OAuth2/JWT, rate limiting and model versioning/rollback integrated into CI/CD. • Optimised performance via Kafka-based event processing and Redis caching and collaborated with UX, product and DevOps teams to prioritise features and scale across AWS regions. 1
• Software Engineer

  Scale AI

  2024.03-2024.07

  (5 months)

  • Developed backend services in Python and Go to ingest, transform and assess data quality for machine-learning training sets, including validation, deduplication and transformation pipelines. • Created adversarial testing frameworks for generative AI models in TypeScript and Python and integrated them into continuous integration workflows. • Collaborated with ML engineers to deploy detection models and synthetic data pipelines and delivered training on secure coding and AI safety.

Projects

• policy iteration algorithm optimisation

  Research

  2023.02-2023.06

  (5 months)

  Analysed deterministic MDPs and proved tighter bounds for Howard’s Policy Iteration; co-authored a paper documenting the results.
• GCC RTL Pass Validation – IIIT

  Research

  2023.01-2023.06

  (6 months)

  Developed block-by-block validation in C++/Python with Z3 to verify the semantic equivalence of GCC optimisation passes.
• Demand Forecasting for Shipping & Distribution

  Research

  2022.01-2022.05

  (5 months)

  Created data pipelines and ensemble regression models to forecast shipping demand from finan- cial and logistics data.
• Regime-Switching Portfolio Optimisation

  Research

  2022.01-2022.05

  (5 months)

  Applied Hidden Markov Models and a modular C++ framework to allocate capital across sector ETFs; backtested strategies achieved superior risk-adjusted returns.

Educational experience

• Indian Institute of Information Technology, Allahabad

  Electronics & communication engineering

  2020.10-2024.10

  (4 years)

  cgpa: 8.29/10

Languages