AI research engineer · Boston

I test how language models behave on real code and build the tools around them.

Independently, I build Code Review Arena, DebugBrief, and Helm to verify code repairs, debugging evidence, and browser-task outcomes. At Handshake AI, I write evaluation pipelines in Python, C++, and Go, design hard cases, trace failures across repositories, and check whether fixes hold up.

Research interests

Model evaluation on code
Repository-scale debugging
Reliable developer tools

View selected work Try demos GitHub

Projects.

A code-review benchmark, a debugging CLI, and a browser agent.

AI evaluation · Active

Code Review Arena

A benchmark that checks the patch, not just the critique.

Code Review Arena scores bug detection and repair separately, then applies each patch and runs the required tests and validators.

Try demo View case study GitHub repository

Harness validation10 cases

The run confirms the scoring pipeline separates detection from validated repair, using a naive keyword baseline and reference patches across 10 cases.

keyword_gamerFinds the defects

Detection: 1.000
Validated repair: 0.000

reference.patchRepairs the cases

Validated: 10 / 10

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Developer tool

DebugBrief

Published

A debugging session becomes a clean engineering handoff.

DebugBrief records commands, exit codes, timestamps, and repository changes, then turns that event history into a pull-request, handoff, incident, or JSON report.

PyPIpublished package

Try demo Case study Repository

Browser agent

Helm Browser Agent

Prototype

A browser agent that checks whether the task is actually done.

Helm turns an instruction into a plan, runs one browser action at a time, and checks the page before it says the task is done.

E2Eoffline WebSocket path

Try demo Case study Repository

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Experience.

Model evaluation, data systems, production ML, and academic research.

Handshake AI

AI Research Fellow · Mar 2026 to Present

At Handshake AI, I write evaluation pipelines for Python, C++, and Go repositories. The work combines hard test design, multi-file debugging, and checking that fixes survive the full regression suite.

Amazon

Software Development Engineer · Jun 2025 to Mar 2026

At Amazon, I replaced weekly manual reporting work with a daily pipeline, added data-quality checks, and made common reporting questions self-service.

Accenture

Software Engineer · Oct 2021 to Jun 2023

At Accenture, I built NLP, forecasting, churn, and recommendation models, then turned them into AWS services that could be versioned, tested, and monitored.

KL University

Research Assistant · May 2020 to Nov 2021

I supported academic research at KL University while completing my undergraduate studies.

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Education.

Machine learning and analytics at Northeastern, following undergraduate study in electronics and data computing.

Northeastern UniversityBoston, Massachusetts · May 2025

M.S. in Data Analytics Engineering

Machine Learning concentration

KL UniversityApril 2022

B.Tech. in Electronics and Communication Engineering

Data Computing specialization