Resume
A compact resume hub for AI/ML engineering roles, research applications, recruiters, hiring managers, and professors.
AI / ML Engineering Resume
Focused on ML infrastructure, backend systems, agentic RAG, evaluation, and production-style workflows.
Research Resume
Focused on physics, quantum computing, tensor networks, quantum machine learning, and simulation.
Education
Physics and computer science training with a focus on computational methods, AI systems, and quantum computing.
Research Interests
Quantum machine learning, tensor networks, simulation, model evaluation, and research-to-production ML workflows.
Selected Projects
- AtlasML
ML infrastructure platform for model registry, inference, evaluation tracking, async jobs, and benchmarking.
- ContextForge
Agentic RAG backend for engineering knowledge, code, logs, tool calling, and grounded answers.
- QuantLab
Research-to-production ML backtesting framework with leakage-safe validation and transaction-cost-aware evaluation.