Senior AI Forward Deployed Engineer · Abacus.AI · IIT Bombay
I deploy production-grade GenAI and ML systems for enterprise customers — RAG pipelines, agentic workflows, LLM-powered analytics. From problem scoping to production rollout, I make AI real.
I'm a Senior Forward Deployed Engineer at Abacus.AI — a San Francisco–based Series C AI company — working directly with enterprise customers to design and ship production-grade ML and Generative AI systems. My work sits at the intersection of engineering, product thinking, and business impact.
I own the full arc: problem scoping, solution design, deployment, and adoption. Over 4+ years as an FDE, I've led 50+ customer engagements spanning 10+ industries across three continents — with 25+ taken from problem scoping all the way to live production rollout.
My edge is not just technical depth — it's the ability to translate complex AI capabilities into systems that customers actually use and trust, while serving as a trusted technical advisor to executive stakeholders.
Across 50+ customer engagements, I've taken AI systems into production across a wide range of industries — from Fortune 500 energy companies and global financial institutions to consumer brands, logistics networks, and professional services organizations.
These weren't POCs or models handed over in a file. Every deployment was live, active, and integrated into the customer's production environment — driving real business decisions and measurable outcomes.
Production AI deployments for a Fortune 500 oil & gas major, a leading tire manufacturer operating across India and Europe, and a solar energy company.
Demand Forecasting · Supply ChainCredit risk models deployed for a major European bank, AI systems for a multi-billion dollar US insurance company, and payment analytics for one of the world's largest card manufacturers.
Risk Modeling · Payment AnalyticsAI deployed for a leading Indian FMCG brand used by millions daily, and customer intelligence systems for a major US food retail chain.
Customer Analytics · PersonalizationML systems deployed for multiple logistics and fleet management companies, optimizing operations, routing, and supply chain decisions at scale.
Optimization · Operational AIGenAI deployment for an iconic American automotive and lifestyle brand, and an active AI implementation for a National Football League franchise.
GenAI · Agentic WorkflowsAI systems deployed for a leading US advertising and media network, and a GenAI implementation for a major US telecommunications provider.
LLM Deployment · Content AILead scoring and ML propensity models deployed in production for the world's largest professional diving certification organization, serving millions of members globally.
Lead Scoring · Propensity ModelingAI deployed for a leading US biomedical company, advancing data-driven decisions in health and wellness at scale.
Healthcare AI · Data PipelinesAI systems deployed for an animal welfare organization — bringing production-grade ML to mission-driven work with the same rigor as any enterprise customer.
Analytics · Operational AIDelivered AI and GenAI solutions across 50+ enterprise customer engagements in 10+ industries — spanning LLM applications (RAG, agentic workflows), predictive ML, and scalable data pipelines. Owned 25+ engagements from problem scoping through solution design, with 14 progressing to full production rollout. Served as trusted technical advisor to customer stakeholders including executive leadership. Designed and deployed GenAI chatbots, LLM-powered analytics pipelines, automated support triage systems, and CI/CD-integrated AI systems with fault-tolerant, production-grade architecture.
Led development of a machine learning system for lead-time prediction in a complex manufacturing supply chain, achieving 55% improvement in RMSE and enabling more accurate production planning. Architected a multi-stage ML system to handle data scarcity and asymmetry — contributing to a patent application. Collaborated cross-functionally on a Supply Chain Analytics Suite covering forecasting, inventory risk, and image-based quality inspection.
Developed an ML-based credit risk model for a European financial services client, reducing bad applications by 31.3% at a fixed approval rate. Worked on-site with a leading global FMCG client to identify key business drivers behind a significant sales decline and develop a data-driven solution. Initiated and led internal AI training for 100+ employees across India and the US.
Open to conversations about enterprise AI, GenAI strategy, forward deployment engineering, and AI adoption.