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$whoami?

Software engineer based in Hyderabad. I build scalable backend systems, work on cloud infrastructure, and explore AI/ML.

Passionate about Go, TypeScript, and Python. I enjoy solving problems in distributed systems and high-performance computing. Outside of work, I read research papers, tinker with embedded devices, and contribute to open source.

Currently

  • Backend services with Go
  • Container orchestration with Kubernetes
  • Database optimization (PostgreSQL, Redis)
  • LLMs and AI agents

Work Experience

Rare Labs

· Software Developer Intern
Oct 2024 – Apr 2025

Built AI-powered Legal Research Platform with 98% accuracy, reduced query time by 90%

  • Developed a full-stack AI-powered Legal Research Platform using Next.js, TypeScript, and Firebase, enabling real-time legal research with accurate case law and contextual insights.
  • Engineered a landmark case retrieval algorithm combining GPT, search techniques, and court filtering to identify Supreme Court precedents with 98% accuracy, validated by practicing attorneys.
  • Optimized the AI Legal Search system through streaming responses, API integration and parallel processing, reducing response time by 90% and query time from 40-50s to 10-15s.
  • Built a scalable memo management system with AI-powered creation, secure sharing, and PDF exports using Firebase Firestore. Created a Python web scraper to automate legal data collection from Kanoon.

Encapz Technologies

· Full Stack Intern
Apr 2024 – Aug 2024

Worked on Spring Boot and Vaadin framework in Java

  • Optimized backend services using Java, Spring Boot, and JPA through indexing, pagination, and N+1 query reduction, achieving 40% improvement in database performance.
  • Implemented Redis caching for frequently accessed data, reducing backend latency by 60% and improving responsiveness for high-traffic scenarios.

United Network Of Professionals

· Software Engineer Intern
Sep 2023 – Apr 2024

Redesigned Quiz UI and built RESTful APIs with Node.js, Express, MongoDB

  • Redesigned Quiz Section UI using React and developed RESTful APIs with Node.js, Express, and MongoDB for real-time feedback, improving engagement and reducing response time.