AI Engineering Lead candidate in Delhi, Delhi, India

Summary

Senior AI Developer and Data Scientist with over 10 years of experience building, deploying, and scaling data-driven and agentic AI systems in high-volume, business-critical environments. I specialize in translating complex, ambiguous business problems into measurable outcomes using advanced analytics, machine learning, and Generative AI, consistently delivering significant efficiency improvements and operational impact.

Currently working as a Senior Data Scientist, I design and implement enterprise-grade multi-agent AI systems that enable intelligent decision-making across finance, supply chain, hiring, and customer operations. My recent work includes architecting multi-agent workflows using modern LLM frameworks, enabling automated root cause analysis with guardrails and agent handoffs, resulting in up to an 80% reduction in manual analytical effort and notable improvements in operational KPIs.

I have strong hands-on experience with Agentic AI, Retrieval-Augmented Generation (RAG), vector databases, and real-time AI systems. I have built production-grade AI solutions such as AI-driven hiring platforms with automated interviews, real-time transcription, structured feedback, and analyticsreducing hiring cycle times and improving success rates. I am comfortable working across the full lifecycle of AI systems, from problem framing and model design to backend architecture, deployment, monitoring, and scalability.

Previously, I played a key role in large-scale supply chain and logistics optimization at leading e-commerce organizations. I designed demand distribution models, real-time network planning tools, and simulation engines that dramatically improved planning accuracy, reduced iteration time from days to hours, and enhanced cost and delivery performance during peak sales events.

My foundation in analytics includes statistical modeling, experimentation, dashboarding, and business intelligence, with experience supporting strategic decisions for global clients in retail, logistics, insurance, and services. I bring a strong engineering mindset, applying sound software design principles (HLD/LLD, SOLID) to build maintainable, scalable AI platforms.

Educationally, I hold a dual B.Tech and M.Tech from IIT Kanpur and multiple certifications in Machine Learning, Data Science, and Agentic AI. I am passionate about building practical AI systems that deliver real-world value, and I thrive in roles that combine technical depth, system design, and business impact.

Expectations

I am looking for a Lead AI Engineer role where I can design and scale production-grade AI and GenAI systems that solve real business problems. I want to work in a team that values strong engineering fundamentals, clear problem framing, and measurable impact. I value teams that emphasize clarity, collaboration, and long-term quality over short-term hacks. I am particularly interested in building agentic AI systems, LLM-powered workflows, RAG pipelines, and end-to-end platformsfrom architecture and model design to deployment, monitoring, and iterationwhile mentoring engineers and setting technical direction.