aarin.basu
Open to software engineering roles — infrastructure, backend & applied ML

Aarin
Basu

I build backend, ML, and systems software — from edge-deployed AI to a vector database written from scratch in Rust.

View work ↓GitHub ↗LinkedIn ↗Download résumé ↓
·

built with

Python
Rust
PyTorch
FastAPI
React
TypeScript
Docker
AWS
PostgreSQL
Python
Rust
PyTorch
FastAPI
React
TypeScript
Docker
AWS
PostgreSQL
01 —

Featured Projects

AEGISFlagship

AI-Enhanced Combat Triage Copilot

  • Python
  • PyTorch
  • YOLOv8
  • Whisper
  • Streamlit
  • Jetson
  • Edge-deployable copilot fusing real-time computer vision and audio for mass-casualty triage — running fully offline on NVIDIA Jetson at 15–30 FPS.
  • Multi-model perception pipeline: YOLOv8 detection, ByteTrack/DINOv2 re-identification, MobileSAM wound segmentation, and zero-shot CLAP audio for respiratory monitoring.
  • Streamlit tactical dashboard with Whisper voice commands, rule-based SALT/TCCC decision support with human-in-the-loop confirmation, and automated 9-line MEDEVAC generation.
See how it works →Repository ↗

OutlierQLive demo

Options Trading Signal Engine

  • Python
  • FastAPI
  • React
  • TypeScript
  • yfinance
  • VADER
  • End-to-end signals platform processing real-time news and market data to generate options recommendations with strike-price and expiry logic.
  • Multi-stage anomaly-detection pipeline: z-score volume analysis, sentiment filtering, and keyword-based event classification.
  • Full-stack React/TypeScript + FastAPI dashboard visualizing live signals and model performance, backed by 155+ passing tests.
See how it works →Repository ↗

PostPilotLive

Automated Social Posting Platform

  • React
  • Node.js
  • Google APIs
  • Converts organizational Google Calendar events into scheduled social-media posts automatically.
  • Google Calendar API integration extracting event metadata and dynamically generating formatted content.
  • Scalable backend workflows managing scheduling, formatting, and publishing across platforms.
See how it works →Launch app ↗Repository ↗

VexIn progress

A Vector Database in Rust

  • Rust
  • HNSW
  • proptest
  • CI
  • Building a vector database from scratch in Rust with HNSW indexing, benchmarked against faiss and qdrant — equal parts portfolio piece and deep systems learning.
  • Phase 1 shipped: a vex-core / vex-cli workspace with 22 unit tests plus integration and property-based coverage, all under CI.
  • Phase 2 underway: implementing the HNSW graph index from the Malkov–Yashunin (2016) paper.
See how it works →Repository ↗
02 —

Experience

Aug 2024 – Dec 2025

Sustainability Analytics · UMD

Undergraduate Researcher

Ran environmental data analysis on the Paint Branch watershed, building Python pipelines (Pandas, NumPy) to clean and process water-quality measurements like turbidity, pH, dissolved oxygen, and nutrient levels. Applied statistical methods and anomaly detection to surface seasonal and upstream land-use trends across temporal and spatial sampling data, delivering reproducible Matplotlib/Seaborn visualizations to an interdisciplinary research team.

May – Aug 2025

Parabole.ai

Software Engineering Intern

Designed and built scalable Python backend services for AI-driven data products in production. Integrated ML model outputs into low-latency REST APIs for real-time inference, and refactored core services with automated tests to raise deployment confidence.

Jun 2023 – May 2024

EPSRC HEED Project · UConn

Research Lead

Led end-to-end data analysis of renewable-energy deployments across refugee camps in Rwanda and Nepal. Built Python pipelines (Pandas, NumPy) to clean, analyze, and visualize 500K+ records, translating findings into insights for policy stakeholders.

2023 – 2024

City of Stamford

Operations & Software Intern

Automated Oracle reporting pipelines, cutting manual workflows by 40%, and built an internal web app consolidating 10K+ municipal records over Oracle SQL and PostgreSQL.

03 —

Live from GitHub

0 contributions · last 52 weeks · github.com/AarinB1
cached / offline
lessmore

live from github.com/AarinB1

~/portfolio
/api/whoami · JSON
$ curl https://aarinbasu.com/api/whoami
a tiny JSON endpoint — name, focus, links, résumé URL
04 —

About

I'm a Computer Science and Mathematics student at the University of Maryland, drawn to the parts of engineering where things actually get hard — low-latency APIs, ML inference pipelines, and systems-level work like writing a database index by hand.

I like building things that have to work under real constraints: offline on a Jetson, fast enough to trade on, correct enough to ship. And I care about explaining why a system is built the way it is, not just that it runs.

05 —

Common Questions

Software engineering roles in infrastructure, backend, and applied ML — anywhere the hard parts are systems-level: low-latency APIs, inference pipelines, distributed storage, or data-intensive services. I care more about the problem than the title.

Available for summer 2026 internships full-time, and part-time during the academic year. Graduating May 2028 from the University of Maryland (CS + Math).

Based in Stamford, CT / College Park, MD during the school year. Open to relocation for internships and full-time roles in any major US tech hub, and to fully-remote teams.

Authorized to work in the US without sponsorship.

Email is the fastest path — aarinbasu1@gmail.com. LinkedIn DMs also work. Happy to share my résumé on request.
06 — LET'S TALK

Open to software engineering roles — infrastructure, backend & applied ML.

Reach me at aarinbasu1@gmail.com

GitHub ↗LinkedIn ↗Download résumé ↓