Standing Rank
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Developer Badges
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Skills & Technologies
52 skillsWork Experience
Android Development Intern
MindMatrix
- Designed REST API communication layer between mobile frontend and backend GenAI services; optimised request batching and caching to reduce API latency.
- Integrated LLM-powered AI/ML features into the Android SDK enabling personalised user interactions across the product surface.
- Participated in Agile sprint ceremonies (standups, sprint planning, retrospectives) collaborating cross-functionally with Backend, QA, Design, and Product teams.
Projects
CrustIntel — Autonomous Competitive Intelligence Platform
- Cloud-native web app (React 19 + Next.js 15 App Router); server-side API routes keep all keys off the client; 6 RESTful serverless handlers (maxDuration=60) supporting long-running multi-turn agentic AI tool-use loops on Vercel.
- Responsive dashboard: radial SVG market map, live signal feed with filtering, 7 reactive KPI cards; exponential backoff retry (HTTP 429) + three-state resilience via CustomEvent dispatch.
Ghost Coach — AI-Powered Sports Coaching Platform
- Full-stack app (React + Spring Boot REST API), Docker Compose 3-container deployment; stateless JWT auth, JSR-380 validation, CORS, Apache Tika magic-byte file validation, Flyway migrations; hybrid PostgreSQL JSONB schema eliminated 5+ normalised tables, reducing queries to single-fetch operations.
RepoSage — Autonomous Multi-Agent CI/CD Pipeline
- 6-stage autonomous pipeline (GitHub API): audits, triages, generates fixes, validates diffs, opens draft PRs — zero human intervention; microservices architecture with FastAPI, Redis task queue, PostgreSQL, Docker, Next.js 14 SSR; partial failure tolerance via asyncio.gather(return_exceptions=True).
CollectIQ — Real-Time AI Voice Collections Dashboard
- Mobile-first PWA; real-time WebSocket telemetry via PostgreSQL WAL replication (sub-second latency); HMAC-SHA256 webhook validation preventing spoofed data injection.
Kannada Speech-to-Text System — Wav2Vec2 ASR
- Fine-tuned Wav2Vec2 transformer on ~15 GB real-world Kannada speech; achieved 0.32 WER / 0.06 CER; full data pipeline: audio preprocessing, feature extraction, metadata generation, and low-resource tokenizer design.
- Engineered scalable preprocessing and training pipelines (PyTorch + Hugging Face) optimised for large-scale audio data; designed evaluation harness for real-world benchmarking.
Notes API — Production-Grade Secure REST API
- 8-layer security stack (rate limiting, CORS, JWT, bcrypt, input sanitisation, SQL injection prevention, 403-not-404 enumeration defence, Swagger/OpenAPI); Repository, Middleware & Factory patterns; zero raw SQL across the codebase.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
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About Details
Professional Bio
AI/ML & Software Development Engineer specialising in production-grade backends, distributed systems, and agentic workflows. Experienced in engineering end-to-end applications from transformer fine-tuning and RAG pipelines to async FastAPI services and real-time React dashboards.
Bachelor of Engineering in Electronics and Communication in Electronics and Communication
Vidyavardhaka College of Engineering (VVCE) (2022 - 2026)