Himanshu Shankar

Built an end-to-end AI execution platform with event-driven workflow automation, owning system design, FastAPI/Python backend, and UX from zero to production.

Designed and shipped a No-Code Workflow Engine with adjudication, integration polling, SSO, and role-based permissions deployed at Bain, McKinsey, and Fortune 500 clients. Grew engineering from 5 to 50 through Series B and improved on-time delivery by 20-30 percentage points.

Built certification integration for a FHIR-based clinical data repository, helping achieve NCDR CathPCI certification. Optimized Flask APIs to P99 below 100 ms and increased test coverage by 7 percentage points.

Led enterprise product development and engineering teams across multiple products, progressing from Software Engineer to Product Lead over four years. Reduced lead-management team from 120 to 20 within 30 days and grew monthly revenue by 125% within 60 days.

Shipped a multi-tenant Allocation & Replenishment platform on AWS Serverless from MVP to production in about two months, rolling out across four regions with 90%+ unit-test coverage and audit-ready infrastructure.

Built automated CFTC-compliant reporting, clearing workflows, and transaction trails with a feedback loop for interdependent report assertions. Integrated Plaid and Modern Treasury and improved DRF API performance by up to 400%.

Owned backend architecture for an oil-price prediction platform, optimizing ORM and REST API performance and providing technical feasibility input on production system design.

MSc Financial Engineering (withdrew after 3 of 10 courses at 94%) to focus on professional commitments.

Grade: First Division with Distinction, CGPA: 8.98/10

B.Tech in Computer Science and Engineering with First Division with Distinction, CGPA 8.98/10.