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Akhilesh Pingle

AI Software Engineer · Python Backends · RAG & Agentic AI · AWS

I build production AI systems—from retrieval and orchestration to APIs, cloud infrastructure, deployment, and monitoring.

Area	Production focus
AI systems	RAG pipelines, agentic workflows, multimodal extraction, vector retrieval
Backend	Python, Flask, Django, FastAPI, REST APIs, SQL, Redis, microservices
AWS	Lambda, API Gateway, Bedrock, DynamoDB, S3, EKS, serverless architecture
Delivery	Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, monitoring

Agentic Document Intelligence Platform — RAG over invoices and contracts with tool use and output validation. 60% fewer human review touchpoints.
Python LangChain AWS Bedrock FAISS FastAPI
Serverless Sales Forecasting API — DynamoDB-backed forecasting service designed for bursty traffic and safe daily releases.
Python AWS Lambda API Gateway DynamoDB CloudFormation
InvoiceAI — OCR-powered invoice processing, anomaly signals, and financial analytics.
Python FastAPI PostgreSQL Docker Streamlit

Served 10k+ requests/day at 99.9% uptime across containerized Flask and Django services.
Reduced invoice review time by 60% with a RAG-based intelligence pipeline.
Improved noisy-invoice structured-field accuracy by 25% with multimodal LLMs.
Cut API response time by 35% through SQL optimization and Redis caching.
Reduced report-generation latency by 40% through schema and query optimization.

_{San Francisco Bay Area · Open to relocation}