Gyanendra Chaubey — AI Researcher

AI Research Engineer at Brainwave Science, building production-grade LLM systems, RAG pipelines, and intelligent conversational agents and chatbots for medical AI and healthcare applications. I hold an M.Tech in AI & Data Science from IIT Jodhpur (AR/VR specialization, 8.55 CGPA) with strong foundations in generative AI, deep learning, 3D computer vision, and end-to-end ML system design. 🔍 Current Focus — Generative AI & LLM Systems I design and deploy LLM-powered chatbots and retrieval-augmented generation (RAG) systems that ground large language models with external knowledge to ensure accuracy, reliability, and context awareness at scale. My work involves LangChain-based agentic workflows, vector databases (Chroma, FAISS), embedding models, multilingual NLU, and production-ready inference pipelines. 🧠 Research & Deep Learning My research spans 3D deep learning for volumetric medical imaging (ribcage implant generation from CT scans), transformers, GANs, VAEs, and autoregressive models built from scratch. I’ve worked on explainable AI for clinical diagnostics, including EEG seizure prediction, thyroid disease classification, and multimodal biomedical AI. I am a published researcher with 307+ Google Scholar citations. ⚙️ Production Engineering Engineered production-ready RAG and multi-agent LLM systems powering intelligent chatbots at Brainwave Science. Integrated vector databases, agent orchestration, and domain grounding for high-accuracy responses. Ensured reliability, performance optimization, and production readiness. Delivered robust, deployment-ready AI systems. Previously at HCL Technologies (2021–2023), I architected and optimized 50+ production data pipelines using SSIS and Snowflake, achieving 98%+ data quality. I also implemented forecasting models that improved business accuracy by ~5%, bridging ML research with real-world deployment. 🎓 Teaching & Leadership Teaching Assistant at IIT Jodhpur (School of AI & Data Science), mentoring students and researchers in deep learning, computer vision, and practical AI system design. Former Data Science Coach with a strong focus on translating theory into production systems. Tech Stack: LLMs (Llama2, GPT-3.5, Gemini-1.5-Pro etc), LangChain, LangGraph, RAG, PyTorch, SQL, SSIS, FastAPI, Snowflake, Chroma, FAISS, Medical AI, Explainable AI, 3D CV. 📌 Open to collaborations in medical AI, LLM applications, RAG system design, generative AI research, and research-to-production pipelines.

Stackforce AI infers this person is a Healthcare-focused AI Research Engineer with expertise in generative AI and machine learning.

Location: Lucknow, Uttar Pradesh, India

Experience: 4 yrs 11 mos