Aspiring AI Engineer · Final-year CS (Data Science) Student · SWE + DSA
- 🤖 Building production-style AI systems — RAG pipelines, local SLMs, fine-tuning, multimodal agents
- 🏗️ Full-stack foundation (React, Node, Express, MongoDB) that I now use to ship AI products end-to-end, not just notebooks
- 🧩 Solid DSA practice on the side — consistent LeetCode, DSA certified via Smart Interviews
- 🌱 Currently working through a self-built 25–30 day ML/AI roadmap: RAG → local SLMs → monitoring/observability → LoRA/DPO fine-tuning → real-time multimodal systems
- 📫 Reach me: yashwanthkonnuru@gmail.com
LoreKeeper — RAG pipeline built for the Agents League Hackathon (Creative Apps track). LangChain + ChromaDB + BAAI/bge-small-en-v1.5 embeddings + Gemini 2.0 Flash, with a dark cinematic frontend.
JobCopilot — Full-stack AI job-search assistant. Node.js + Express + MongoDB + Groq API, with ATS resume scanning, rejection pattern analysis, and Google OAuth.
Project-Evolve — MERN platform connecting students with real-world problems to solve, with Gemini API integration. Shortlisted for OpenAI Academy & NxtWave State-Level Buildathon.
AI/ML: 
Backend & Full-Stack: 
Tools: 
