Experience
Feb 2024 – Present- Led full-stack development of DataScribe.Cloud, a research data platform adopted by teams at multiple universities and national labs. Primary developer from MVP to production.
- Built and deployed an LLM-powered research agent with RAG-based materials science Q&A and dynamic ML workflow orchestration, enabling researchers to trigger complex pipelines in natural language.
- Architected automated CI/CD pipeline (Docker + Kubernetes) reducing deployment from 2 hours of manual work to a fully automated ~5-minute process.
May – Aug 2023- Built a Spring Boot REST API cost-analysis tool giving developers real-time visibility into the compute cost impact of code changes, used by the data engineering team.
- Designed and deployed Prometheus + Grafana observability from scratch for the core threat scoring engine — first real-time visibility into pipeline health, enabling previously impossible incident detection.
- Conducted security audits across 15+ repositories, identified and remediated critical/high-severity CVEs.
Spring 2024 – Present- C++, Quantum Computing, Programming Languages — ~150 students/semester.
- Automated assignment grading pipeline with Bash scripts, cutting TA grading time by ~60% per coding assignment cycle.
2022 – 2023- Graph Mining and Cybersecurity research — optimizing graph mining systems and developing novel algorithms for large-scale graph analysis.
- Processed 1TB+ of cybersecurity data converting JSON datasets into actionable graphs using Python and C++.
- 10× speedup in data processing pipelines via parallelization on university HPC clusters.