about
New Grad from UMass Amherst, CS + Math. I build things that range from data pipelines serving researchers to poker-playing agents - I just like making stuff that works well.
I care about backend systems that are correct every time, not just most of the time. ML and security live nearby; I like that both punish shallow understanding. Outside of code: games, anime, gym, and a tendency to go one tab too deep on things adjacent to whatever I'm building.
Looking for new grad software engineering roles starting 2026. .
Based in
Massachusetts, USA
School
UMass Amherst
Focus
Backend · Data · ML
Open to
New Grad 2026 roles
“Programs must be written for people to read, and only incidentally for machines to execute.
work
Sep 2025 - Present
Software Engineering Intern
CDS-AI ↗Replaced third-party tooling and manual workflows with a full-stack data platform serving 100+ researchers across Massachusetts DEP-funded salt marsh research.
- Built backend data pipelines (PostgreSQL, S3) to ingest, standardize, and store multi-organization salt marsh data for MassMarsh, a Massachusetts DEP-funded initiative, supporting 100+ researchers across 20+ organizations
- Implemented fault-tolerant NAS synchronization across heterogeneous formats with schema mapping and incremental batch processing
- Developed a multi-tenant web portal (React, FastAPI) with role-based access control and containerized deployment, managing 1,000+ weekly field records
- Built a Flutter mobile app for field data collection replacing third-party tooling - GPS capture, RTK location matching, multi-plot surveys, and a QC pipeline for pre-ingestion validation
- Built containerized React tools with interactive geospatial visualizations for Woodwell Climate Research Center
May 2025 - Aug 2025
Software Engineering Intern
MGHPCC (Unity HPC Cluster) ↗Found $120K+ in wasted GPU resources and cut log analysis time by 80%, directly improving resource allocation across a major HPC cluster.
- Engineered low-latency telemetry pipelines in a Linux HPC environment to process 12+ months of cluster activity
- Optimized SQL queries and indexing strategies to accelerate SLURM log analysis by 80% across 10.9M+ job records
- Applied DBSCAN clustering to identify 63,000+ underutilized A100 GPU hours, uncovering $120K+ in wasted compute
- Built CI/CD pipelines with GitHub Actions and pytest for monitoring services
May 2025 - Present
Undergraduate Course Assistant
Manning College of Informatics and Computer Science, UMass Amherst — COMPSCI 426 & 240 ↗Recognized with the Outstanding UCA Award while teaching probability and guiding teams through building production-grade distributed systems.
- Won the Outstanding UCA Award for contributions to COMPSCI 240
- Mentoring student teams 1-on-1 in CS426 (Scalable Web Systems) on distributed systems projects involving microservices, Redis, caching, and React
- Held discussion sections and office hours for 150+ students in CS240, covering probability, statistics, and reasoning under uncertainty
- Clarified complex topics including Bayesian reasoning, probabilistic modeling, and statistical inference through guided problem-solving
Jun 2021 - May 2025
Head of Technical Operations
Instilt Educate ↗Streamlined onboarding, improved developer velocity, and saved 10+ hours/week through automation and re-architected backend systems.
- Led a team of 10+ engineers across weekly sprint meetings
- Managed technical operations and system access control for 300+ users
- Built automated onboarding pipelines and scheduling automation with Google Calendar and Zoom APIs, saving 10+ hours/week
- Led backend re-architecture for scalable, high-performance systems
“The purpose of computing is insight, not numbers.
research & academic work
Unity HPC Cluster Usage Analysis
CDS-AI Summer Research · Summer 2025
Built a Python analytics module for HPC workload telemetry and presented findings on usage patterns and resource allocation in the Unity HPC cluster. Sponsored by Adobe Research.
Exploiting CVE-2016-5764: Stack Buffer Overflow in Rumba FTP Client
UMass Amherst · Fall 2025
Analyzed a stack-based buffer overflow in the Rumba FTP client, documented the SEH overwrite exploitation path, and summarized the reverse engineering findings in a companion writeup.
Physics-Informed Neural Networks for Non-Equilibrium Stochastic Systems
UMass Amherst - Independent Study · Fall 2025
Studied stochastic systems using Fokker-Planck equations, comparing classical numerical solvers and physics-informed neural networks on double-well and non-equilibrium dynamics. Analyzed accuracy, stability, and scalability in high-dimensional diffusion problems.
contact
Let's connect.
Whether it's a job opportunity, collaboration, or just a question - I'm open to it.