Abhishek Ingle

Built scalable Python hyper-automation services using LangChain agents and RPA integrations across BFSI and FMCG clients, automating reconciliation across 600K+ monthly transactions and saving 250+ person-hours per month. Developed real-time backend data pipelines and APIs using Apache Kafka, FastAPI, and Pinecone to enable risk scoring with sub-80ms p99 latency. Architected an AWS IoT ingestion platform with Lambda, Kinesis, and DynamoDB for telemetry from 8,000+ field nodes supporting dashboards for 300+ agronomists. Led API integration and cloud modernization by migrating legacy systems to containerized microservices using Docker and Kubernetes, reducing deployment cycles from 2 weeks to under 2 days.

Developed Python/FastAPI backend services processing 1M+ member records nightly to support actuarial applications pricing $40M+ in annual premiums. Migrated legacy claims services to AWS Lambda and Step Functions, reducing processing time from 7 hours to 90 minutes and retiring 3 on-premise servers. Implemented field-level encryption and IAM least-privilege policies to achieve zero findings across 9 data flows during a HIPAA compliance review. Containerized ML services behind Docker REST APIs, reducing prior-authorization processing from 2 days to 4 hours across 5,000+ weekly requests.

Architected a real-time full-stack platform using React, Next.js, TypeScript, Socket.IO, and GPT-4.1-mini, maintaining 88ms WebSocket latency across 100+ concurrent participants. Designed and delivered the GiGi robotics education platform using React, Python, Docker, and Three.js on NSF ACCESS cloud infrastructure, including authentication and interactive 3D visualization.