AI Researcher & Full Stack Engineer building production ML systems and scalable distributed architectures.
Currently pursuing MS in Computer Science (AI) at University of San Francisco, with 5+ years shipping enterprise software across fintech, aviation, and climate tech.
ML Engineering @ Lender Toolkit
Building agentic workflows with LangChain/LangGraph β’ Fine-tuning Qwen-16B via QLoRA β’ RAG pipelines with Pinecone/Cohere rerankers β’ Deployed on AWS ECS Fargate
Backend Engineering @ Accelya
Microservices in Spring Boot β’ Real-time pipelines with Spark/Kafka/Elasticsearch β’ Time series forecasting (ARIMA, LSTM)
Distributed Systems @ TCS
SSO for 100+ products (OIDC, magic links) β’ gRPC with mTLS β’ Redis caching, WebSockets, Kafka-backed CI/CD
CashCanvas β Zero-cost PWA: Chase data ingestion β SQLite β Supabase sync β real-time spending visualizations
ChatDB β Natural language SQL interface powered by LLMs
Blockchain Loan Exchange β Decentralized lending platform with Web3/MetaMask integration
Drone Memory Management β Long-term memory middleware for autonomous systems
Respiratory Sound Classification for Remote Diagnosis
Deep learning architectures for medical audio processing
AI/ML: PyTorch, CUDA, LangChain, QLoRA, Pinecone, RAG
Backend: Python, C++, Java/Spring Boot, Node.js, FastAPI, Kafka, Redis, gRPC
Data: Apache Spark, Elasticsearch, PostgreSQL, MongoDB
Cloud: AWS (ECS, Bedrock, Cognito), Docker, K8s
Frontend: React, TypeScript, TailwindCSS
π« Reach me: manmohan659@gmail.com β’ LinkedIn β’ π
π Portfolio: manmohan659.github.io/manmohan-portfolio



