AI Research Engineer Consultant - Handshake AI - San Francisco, CA
(2026-06 - 2026-07)
- Developed and evaluated domain-specific prompts to assess the performance of large language models (LLMs) in Software Engineering
- Analyzed LLM outputs for scientific accuracy, clarity, and depth in specialized subfields.
- Contributed to improving AI understanding of complex Software Development through expert review and feedback.
- Conducted independent research to support prompt development and evaluation tasks.
AI Engineer - Outlier - San Francisco, CA
(2025-03)
- Evaluated AI-generated code across Python, JavaScript, TypeScript, and Go, identifying runtime inefficiencies, logic bugs, and security vulnerabilities to cut errors by 30% and accelerate delivery of high-performing code-generation models.
- Engineered adversarial prompts and algorithmic test cases covering recursion, data structures, and dynamic programming, then benchmarked model outputs against human-verified reference solutions and unit tests to enforce strict performance and execution standards.
- Reviewed, refactored, and annotated complex codebases, documenting precise technical feedback on code failures to produce high-quality training data for Reinforcement Learning from Human Feedback (RLHF) pipelines and teach the model optimized architectural patterns.
Full-Stack Software Engineer - Headstarter AI - New York, NY
(2024-09 - 2025-02)
- Designed and launched a unified LLM evaluation platform on AWS and Google Cloud using TypeScript, React, and PostgreSQL, enabling efficient evaluation of 25 models and improving workflow speed.
- Designed a market anomaly detection system using Python, supporting over 5,000 stock tickers.
- Optimized datasets by 75% through advanced preprocessing and model tuning techniques using Python.
Software Engineer Intern - Outreach - Remote
(2022-06 - 2022-08)
Software Engineer Intern on Outreach's Orchestration Services team - the systems powering the company's task, sequence, and workflow-trigger infrastructure - building data pipeline infrastructure and optimizing legacy database services within a 5-engineer team.
- Optimized legacy database performance using Go (Golang), increasing efficiency by 30%
- Collaborated within a 5-person team to resolve database migration issues, reducing downtime by 60%
- Reduced schema migration downtime by 60% and cut schema migration time by 40% through targeted service improvements.
