I'm Himanshu Thapa, Agentic AI Lead and Data Scientist with 8+ years building and deploying quantitative decision engines for wealth and asset management. Expert in portfolio optimization, risk/performance analytics, and scalable model delivery for advisor/client platforms. Strong Python + API/service development with ML/LLM Ops and cloud-native deployment. Applied Gen AI/LLMs to modernize research and operations, including evaluation/monitoring and safe rollout. Built AI agents and n8n automation to connect data, models and business workflows end-to-end.
KEY STRENGTHS
- Quantitative Research for Capital Markets
- Advanced ML & GenAI Modeling
- Algorithmic Trading & Strategy Optimization
- Market & Alternative Data Engineering
- Model Validation and Back-Testing
- Stakeholder Communication & Technical Leadership
His experience spans AI-powered investment research, portfolio analytics, factor investing, financial document intelligence, and automation of investment workflows. By combining deep expertise in data science, machine learning, and capital markets, Heath develops scalable solutions that enhance research productivity, improve decision-making, and create measurable business value across wealth management and asset management organizations.
- Generative & Agentic AI: RAG design and optimization, LangGraph, LangChain, Multi-agent and tool-calling workflows, prompt engineering, embeddings and vector databases (Chroma), GPT, Claude, Llama, LLM evaluation and benchmarking (hallucination, faithfulness, retrieval accuracy)
- Machine Learning & Statistics: PyTorch, scikit-learn, XGBoost, transformers, deep learning, time-series forecasting, statistical modeling, model tuning, validation and back-testing.
- MLOps & Engineering: Modular Python pipelines, MLflow, DVC, Prefect, Django, FastAPI, Docker, Kubernetes, CI/CD, model deployment
- Data & Cloud: Advanced SQL, Python, PySpark, R, Pandas, NumPy, DuckDB, PostgreSQL, AWS, Databricks, Bloomberg, FactSet, LSEG Refinitiv
- Quantitative Finance (https://github.com/singularity-htmagarh/quant-finance)
- Data Science Portfolio (https://github.com/singularity-htmagarh/data-science-portfolio)
- ETFs Performance Tracker (https://github.com/singularity-htmagarh/etf-portfolio-tracker)