Santanu Bhattacharjee
Director of AI & Product Engineering @ Pretium
About
AI & Engineering Leader with 15+ years of experience driving enterprise-scale AI transformation—spanning classical machine learning to cutting-edge Generative AI and agentic systems. I specialize in building and operationalizing AI platforms that translate advanced research into measurable business outcomes, including revenue growth, cost optimization, and product intelligence at scale. In my current role, I lead end-to-end AI strategy and execution across multimodal LLM platforms, RAG architectures, and autonomous agent frameworks that power data-driven decision-making across global product ecosystems. I own the full lifecycle—from vision and architecture to deployment and adoption—aligning AI capabilities with business priorities and customer value. My expertise includes scalable AI platform design, LLM/SLM fine-tuning (QLoRA, DPO, RLHF), high-throughput data systems, and GPU/HPC optimization for production environments. I have a strong track record of building high-performing teams, establishing AI engineering best practices, and delivering resilient, enterprise-grade systems. Beyond execution, I actively shape AI thought leadership through IEEE publications and US patents in Knowledge Graphs, NLP, and large-scale data systems. I am particularly interested in advancing trustworthy and efficient AI—focusing on agentic systems, causal reasoning, and next-generation AI infrastructure. I am passionate about developing leaders, fostering a culture of innovation, and building AI capabilities that enable organizations to move faster, think smarter, and create sustained competitive advantage.
India
Bengaluru
Research
AI Leadership, Agentic AI Development, Solution Architecture, High Performance Computing (HPC), Strategic Leadership, Applied Research, Enterprise Architecture, LangChain, Team Leadership, Product Management, Data Science, Generative AI, AI Agents, Big Data Analytics, Data Classification, Cluster Analysis, Sentiment Analysis, Amazon Web Services (AWS), Impala, Hive
Experience
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