Summary
Kumar Shantam is a Senior Software Engineer with 6+ years of hands-on experience building production-grade AI systems that serve millions of users, currently focused on agentic AI and efficient fine-tuning techniques like PEFT/QLoRA. He has a strong track record of architecting scalable ML infrastructure—reducing processing time by 63% across 3,300+ repositories, achieving sub-100ms RAG retrieval latency, and cutting LLM inference costs by 75% while preserving semantic coherence. His work spans conversational AI, multi-agent fault-tolerant systems, synthetic data generation, and legacy migrations using LLMs, with measurable business impact such as a conversational assistant delivering 94% accuracy at scale. Comfortable translating research into product, he bridges technical depth with stakeholder communication and has experience across full ML lifecycles from ETL and MLOps to deployment on cloud platforms. Holding an MS in Computer Science and an MBA in Analytics, he blends rigorous technical training with business acumen to lead AI initiatives that prioritize measurable outcomes.
5 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Sofia University
Bachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at Birla Institute of Technology, Mesra