B.Tech @ NIT Warangal • Full-Stack / AI-ML Systems
I build systems that turn ideas into scalable, usable products.

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Query and modify codebases in Indian languages using just your voice.

• Built voice-to-code pipeline supporting 5 Indian languages (Hindi, Tamil, Telugu, Kannada, English) via speech transcription and intent detection
• Designed AI orchestration pipeline: Intent Detection → Guardrails → Execution Router — enabling safe automation of Git commits, README generation, and test scaffolding
• Implemented context-aware code reasoning by indexing 50+ files / 100k+ characters using RAG, reducing hallucinated suggestions
• Built human-in-the-loop agent execution with approval UI, maintaining 3–6s voice-to-response latency
• Tech: TypeScript, Python, AWS (Bedrock, Transcribe, S3), RAG

🔗 Repo: (link)

Learn and practice 10+ Indian languages with real-time AI feedback.

• Built end-to-end platform using IndicTrans2 translation models and Whisper-based speech recognition
• Implemented fuzzy pronunciation scoring for real-time phonetic feedback during speaking exercises
• Engineered multi-layer caching (in-memory + Firestore) achieving sub-50ms API response times
• Developed gamification engine with XP, streaks, and 27 achievements — synced across devices via JWT auth
• Tech: Next.js, React, FastAPI, IndicTrans2, Whisper, Firestore

🔗 Repo: (link)

High-throughput scraping pipeline for structured supplier discovery and prioritization.

• Built supplier intelligence pipeline aggregating web-scraped data with 52-week Google Trends demand signals
• Designed Weighted Priority Algorithm computing SupplierQuality (0–100) and DemandMomentum scores to auto-rank suppliers into HIGH/MEDIUM/LOW tiers
• Integrated LLM-based reasoning to generate contextual "Why to Contact" summaries and resolve ranking ties
• Significantly reduced manual sourcing research time via automated discovery and prioritization workflows
• Tech: Python, Pandas, Google Trends API, LLMs

🔗 Repo: (link)

• Designing scalable backend systems
• Performance optimization & benchmarking
• Distributed scraping and data pipelines
• Practical AI integration (not just models)

Languages: Python, TypeScript/JavaScript, Go, C++, SQL
Backend: FastAPI, Node.js, Express
Frontend: React, Next.js, Tailwind CSS
AI/ML: PyTorch, RAG, Whisper, LLM APIs, scikit-learn, NumPy, Pandas
Cloud & Infra: AWS (Bedrock, Transcribe, S3), GCP, Cloudflare, Docker
Databases: PostgreSQL, SQLite, Firebase/Firestore
Tools: Git, GitHub Actions, Figma, Playwright
Hardware: Verilog, Xilinx Vivado

• 🥇 Smart India Hackathon 2025 — National Finalist: Selected from 75,000+ submissions nationwide; ranked Top 5 in our problem statement
• 📜 13 Professional Certifications in Cloud, Data Science, and Software Engineering from Google, Meta, and IBM
• 🏅 65+ Olympiad medals in national Mathematics and Science competitions

• Backend / Full-Stack Internships
• AI-powered product development roles
• Summer 2026 opportunities

If you're hiring or building something interesting, feel free to reach out.