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. I've led cross-functional initiatives aligning engineering, product, sales, and executive stakeholders across 20+ customer deployments spanning nine industries and three continents.
My edge is not just technical depth — it's the ability to translate complex AI capabilities into systems that customers actually use and trust.
Across 20+ customer deployments, 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 AILed end-to-end design and production deployment of AI and GenAI systems for enterprise customers — spanning LLM architectures (RAG, agentic workflows) and scalable ML pipelines. Owned 20+ customer deployments from problem scoping to production rollout across 9+ industries.
Led a team of 5 to architect and deploy a multi-stage ML system for supply chain lead-time prediction, achieving 55% reduction in RMSE. Designed ensemble-based forecasting pipelines addressing data scarcity and asymmetry — contributing to a patent application.
Developed an ML-based credit risk model for a European financial services client, reducing bad applications by 31.3% at a fixed approval rate. Led global 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.