Generative AI & Software Engineer
---- 🎓 Computer Science Engineer | KLE Technological University, GPA 8.56
- 💡 Generative AI & Software Engineer passionate about building AI-powered solutions across NLP and data platforms
- 🔬 Skilled in LLM fine-tuning, Retrieval-Augmented Generation (RAG), vector DB integration, and prompt engineering
- 🏥 Currently developing AI-driven healthcare pipelines to optimize medical code prediction and data automation
- 🌱 Always exploring agentic workflows, scalable ML deployment, and cutting-edge Generative AI tools
- 🧠 LLM Fine-tuning Excellence – Improved medical-code prediction accuracy by 25% on proprietary datasets
- ⚡ RAG Pipeline Optimization – Engineered workflows with Pinecone, reducing hallucination rate by 35% and achieving <500ms semantic-search latency
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Associate Software Engineer – MediCodio
June 2025 – August 2025
Fine-tuned transformer APIs, boosting medical prediction accuracy by 25%, co-led architecture redesign reducing code complexity by 30%. -
Software Engineer Trainee – MediCodio
July 2024 – May 2025
Built ETL pipelines, integrated RAG workflows with Pinecone, automated UI validation reducing regression cycles from 48h to 4h. -
Intern – MediCodio
Jan 2024 – Jun 2024
Prototyped ETL pipelines with SciSpacy & BioBERT, reduced preprocessing time by 20%, boosted semantic precision by 25%.
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Pinecone RAG vs OpenAI Chatbot
Production-grade chatbot reducing hallucinations by 35%, with 99.9% uptime and <150ms vector lookup latency. -
Doodle Recognition System
CNN-based doodle recognition system with 95% test accuracy on 30K samples. -
Enhanced PSO Clustering with Autoencoders
Automated clustering pipeline, improving PSO convergence by ~40% with improved clustering quality.
