Summary
Aman Singh is a Machine Learning Engineer and MS student in Applied Machine Learning at the University of Maryland with nine years of software engineering experience focused on productionizing ML systems. He has built low-latency RAG pipelines, fine-tuned Llama-2 variants on 60K financial Q&A pairs, and integrated OCR and structured-extraction workflows to reduce hallucination and speed document parsing for wealth-management products. His work blends classical time-series and ensemble forecasting (SARIMAX-XGBoost) with modern embedding/FAISS search and LangChain orchestration, achieving measurable gains in retrieval accuracy and forecasting MAPE. Comfortable across Python backend stacks, FastAPI, MongoDB, and dashboarding with Plotly Dash, he also implemented anomaly detection and automation tools that materially improved operational metrics. Based in the San Francisco Bay Area but educated at NIT Hamirpur, he pairs strong research-informed techniques with practical engineering to deliver production-ready ML features.
9 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Computer Science and Engineering, Master of Technology - MTech, Computer Science and Engineering at National Institute of Technology Hamirpur
Master of Science - MS, Machine Learning, 4, Master of Science - MS, Machine Learning, 4 at University of Maryland
English, Hindi