Ayush Surana — AI Researcher

If there’s one thing that’s defined my career so far, it’s curiosity. It began during my Bachelor’s when I interned at Verzeo, experimenting with ML pipelines that achieved 95–99% accuracy. That experience pulled me into the world of AI. From there, I led a 6-member team at the Electric Solar Vehicle Championship (AIR 6 finish) and later pursued my Master’s in Artificial Intelligence at Deggendorf Institute of Technology [public university], Germany. My thesis, FlashPredict, was a turning point. I built a real-time system for autonomous vehicles using multimodal data (camera, LiDAR, radar) and optimized it to cut latency by 24 ms while boosting accuracy. That project showed me the thrill of solving complex AI problems that actually matter. Since then, I’ve explored Generative AI—building RAG systems, fine-tuning LLaMA models, and designing multi-agent systems with LangChain and LangGraph. What excites me most is not just building these systems, but collaborating with people, sharing ideas, and delivering beyond expectations as a teammate. **Core Skills:** - Gen AI: LangChain, LangGraph, LlamaIndex, HuggingFace, RAG - AI/ML: CV, NLP, Multimodal Fusion, Model Optimization - Deployment: AWS Bedrock, FastAPI, Streamlit - Databases: SQL, Cassandra, ChromaDB, Pinecone, FAISS - Teamwork: Leadership, Communication, Problem-Solving I’m open to opportunities in applied AI and GenAI R&D. Let’s connect and build the future of AI together!

Stackforce AI infers this person is a skilled AI/ML engineer with a focus on automotive applications.

Location: Mumbai, Maharashtra, India

Experience: 1 yr 6 mos