Ishwant Singh Bhayana

Full Stack (Forward Deployed) Engineer · New York, NY

• Built a multi-agent invoice-dispute resolution workflow (TypeScript, Python, OpenSpec) that retrieves invoices, shipment details, and contracts, applies business rules, and proposes auditable resolutions for human review for over 40K+ disputes/week.
• Built the compensation dataflow for a new settlement system covering all FedEx Ground contractor payments across the US and Canada, supporting $1B+ in annual payouts with idempotent event processing and validation.
• Partnered with Product and Operations to map delivery and settlement workflows into a cross-org data layer, eliminating double entry and reducing reporting time by 50%.
• Scale distributed data pipelines (Spring Boot, Cassandra, PCF) processing 15M+ daily logistics and settlement events.
• Led an overhaul of authentication and authorization, redesigning access scopes, permission checks, and fallbacks for the application.
• Built real-time workflows for 10+ delivery-issue types, helping operations teams identify, triage, and resolve issues while linking outcomes to SLAs and compensation.
• Led adoption of AI native practices across 4 teams and 30+ developers leading to reduction in work-item cycle time.

Full Stack Developer Intern

• Updated Java and Spring Boot services with JMS listeners and Cassandra to process 1M+ delivery-stop events daily; exposed the data through REST APIs and replaced legacy batch uploads.

Software Developer (Frontend) · CA

• Built skin-sharing and product-recommendation features for Badlion Client, helping 1M+ community members discover a catalog of 30K+ Minecraft assets.
• Implemented a gamified XP and rewards engine (Java, Electron JS), increasing session length by 15%.
• Created responsive React and Redux interfaces with search and pagination to help users browse the digital asset catalog.

Software Developer · Pune, India

• Built an insurance claims tool with creation and filtering workflows and shipped a lab appointment booking app, reducing booking time by 30%.
• Refactored the backend data layer for a NoSQL-to-SQL migration, redesigning schemas and queries to lower per-query cost and improve retrieval.

MSc in Computer Engineering · GPA: 3.67/4.0

Coursework: Deep Learning, Machine Learning, Big Data, Systems Engineering, Database Systems

B.Tech, Information Technology · Delhi, India · GPA: 8.58/10