Bhanu Prakash
Open to work4 years experienceAI Engineer
AI Engineer | Generative AI | RAG | PyTorch | LLMs | Deep Learning
Standing Rank
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Developer Badges
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Skills & Technologies
44 skillsWork Experience
Self-Directed AI Product Development
Independent AI Engineer
- Architected a production Enterprise RAG Platform: integrated Ollama LLMs with FAISS/Qdrant vector databases, implemented semantic chunking and hybrid retrieval pipelines, and built a concurrent FastAPI/asyncio inference engine with producer-consumer queues for zero-loss distributed LLM request processing.
- Engineered custom deep learning models (non-linear classification, Seven-Segment digit recognition) using PyTorch — implementing forward propagation, backpropagation, gradient descent, and logic gates (XOR/AND/OR) from raw NumPy matrix mathematics without framework abstractions.
- Built a full-stack RAG-based knowledge management platform where admins upload PDF/TXT documents and users perform semantic search using local sentence-transformer embeddings (all-MiniLM-L6-v2) indexed with FAISS — zero cloud AI dependency. Implemented JWT authentication with role-based access control, SQLAlchemy ORM with Alembic migrations, and a React + TanStack Query frontend with real-time task management and analytics.
- Designed fault-tolerant Python asyncio automation pipeline with configurable worker queues and exponential-backoff retry logic, eliminating 100% of manual media processing overhead.
Tech Lead & Web Developer
Zummit Infolabs
- Led cross-functional Agile team to design and deploy a full-stack enterprise data retrieval portal, accelerating launch through sprint planning, code reviews, and strict MVC architecture standards.
- Optimized highly relational SQL database schemas to significantly reduce query latency for complex biochemical data search operations across the production system.
Projects
Enterprise RAG Platform
- Production LLM inference engine with semantic chunking, vector retrieval, and concurrent payload processing.
Cloud-Native Equity Screener
- Full-stack financial analytics app with algorithmic multi-variable stock evaluation and real-time API data ingestion.
Automated Media Processing Pipeline
- Fault-tolerant concurrent automation eliminating 100% of manual processing via configurable retry logic and structured logging.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
IIT Dharwad Computer Science graduate and AI Engineer specializing in RAG, LLM inference pipeline architecture, and deep learning system design. Proficient in full-stack AI deployment using FastAPI, Docker, Next.js, and PostgreSQL.
B.Tech in Computer Science & Engineering
Indian Institute of Technology (IIT) Dharwad ( - Present)