Abhijit Mahalunkar is a Data Scientist and AI researcher with 10 years of experience building production-grade LLM systems, multi-agent orchestration, and scalable MLOps across finance, robotics, and autonomous systems. He combines a PhD in deep learning/NLP with hands-on engineering, having pre-trained and fine-tuned language models, designed evaluation benchmarks, and introduced the Long–Short Dependence Ratio to characterise dataset complexity. In industry roles he has delivered reasoning-driven financial agents and real-time news analytics pipelines, integrating LangChain/LangGraph/LangSmith with Vertex AI, BigQuery, and AWS for robust, traceable deployments. He’s also co-founded and engineered LLM integrations for ROS in embodied AI, bridging model capabilities to hardware and motion-planning stacks. Known for pragmatic data–architecture co-design, he balances interpretability, efficiency, and continual evaluation to keep AI systems reliable at scale. Based in Barcelona, he brings a rare mix of theoretical insight and end-to-end production experience that accelerates research into deployable intelligence.
10 years of coding experience
14 years of employment as a software developer
Bachelor of Engineering Electronics and Telecommunications, Bachelor of Engineering Electronics and Telecommunications at Goa Engineering College - Government of Goa
Doctor of Philosophy - PhD Deep Learning - Natural Language Processing, Doctor of Philosophy - PhD Deep Learning - Natural Language Processing at Technological University Dublin
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