Abhijit More — AI Researcher

🚀 Engineer at the frontier of Generative AI — I design, deploy, and scale machine learning systems that turn research breakthroughs into production reality. I specialize in Large Language Models (LLMs) and Generative AI, focusing on retrieval mechanisms, parameter-efficient fine tuning, evaluation methods, and deployment of open-source models under resource constraints. My work includes model compression, optimization of inference pipelines, and adapting LLMs to specialized domains, ensuring they remain both efficient and effective in real-world settings. My toolbox spans PyTorch, Hugging Face, LangChain, LangGraph, Opik, ONNX, Docker, GitHub and AWS but more importantly, I use them to create systems that perform under real-world constraints: latency, memory, compute, and scale. 📌 Core strengths: *Production-grade ML pipelines (MLOps, containerization, cloud) * Retrieval-Augmented Generation (RAG) * Open-Source LLM deployment & optimization * Parameter-efficient fine tuning & inference optimization * End-to-end Generative AI applications I thrive at the intersection of engineering and research, where building scalable, resilient, and impactful AI matters most. 🤝 Always open to connecting with those shaping the future of AI, whether it’s the next leap in LLMs, GenAI platforms, or scaling challenges that push the limits.

Stackforce AI infers this person is a Generative AI Engineer specializing in scalable machine learning systems.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 9 mos