💡 Passionate about bridging Backend Engineering, AI systems, and ML-powered applications.
🎯 My goal is to build scalable, intelligent, and production-ready systems.
🚀 Currently exploring LLMs, RAG Pipelines, TensorFlow, and NLP.
📈 Love solving real-world problems through data & engineering.

• 🔭 Working on QUANT
• 🎯 Learning ECONOMICAL MATHS
• 👯 Open to collaborating on AI, ML, Backend, FastAPI or RAG projects
• ✉️ Reach out: ayushjha4277@gmail.com
• 🧠 Fun fact: I’ve run a business & love building end-to-end products

• 🥇 Meta Hacker Cup — Global Rank 1226
• 🥈 Kaggle Competition — Top 2200 (Road Accident Risk Prediction)
• 🎮 EA Sports Software Engineering Virtual Internship — Completed
• 🏅 D3 Hackathon Finalist — Top 10 out of 300+ teams
  Built a real-time thumbnail generator

📌 Supabase | pgvector | Python | TipTap | RAG Pipelines

• Built semantic search over large manuscripts (300+ pages)
• Achieved 98% citation accuracy
• Query latency < 450 ms, ingestion pipeline < 300s
• 50k+ vector DB with < 150ms consistency checks

📌 Java | OS | Data Structures

• Implemented First-Fit, Best-Fit, Worst-Fit algorithms
• Managed 1024 bytes handling 100+ memory operations
• Achieved O(log n) merging with Java TreeMap

⭐ If you like my work, consider starring a repo — it helps a lot! ⭐