Anushil Adhikari
Email Résumé

01 Now · Austin, TX

I build backend and cloud systems. And the automation that proves they work.

Software Quality & Test Engineer at General Motors, automating validation for over-the-air vehicle software updates. Previously Fannie Mae, Freddie Mac, and Uber.

Currently
Software Quality & Test Engineer, General Motors · Austin, TX
Open to
Solutions Engineering Site Reliability Cloud Support Software Engineering Full Stack
Certified
AWS Solutions Architect · AWS Cloud Practitioner

Shipped for

  • General Motors
  • Fannie Mae
  • Freddie Mac
  • Uber

02 Work

Seven roles, reverse chronological.

General Motors

Software Quality & Test Engineer

Mar 2026 – Present

Austin, TX

  • Lead test automation for GM's over-the-air update pipeline. Defect detection up ~30%.
  • Jenkins CI/CD pipelines wired to Git. Regression cycles down ~35%.
  • Nightly runs trigger on every repo change, replacing manual execution.
  • Built a framework that proves coverage from parsed CAN, OTA, IPC, and VCU logs.
  • Python
  • Robot Framework
  • Jenkins
  • CI/CD
  • Git

Oct 2025 – Dec 2025

BizArch Solutions

AI Engineer Intern

  • Reusable RAG pipeline with FAISS. Caching cut redundant LLM calls 60%.
  • Backend pipeline handling 100+ support cases per cycle from S3.
  • Python
  • FAISS
  • RAG
  • AWS S3

Jun 2025 – Aug 2025

Fannie Mae

Full Stack Engineer Intern

  • Angular and TypeScript analytics dashboard. Turnaround down 30%.
  • Karate, JUnit, and Spring Boot suites on Gradle CI. Regressions down ~40%.
  • Angular
  • TypeScript
  • PostgreSQL
  • Spring Boot

Sep 2024 – Dec 2024

Colvin Run

AI Engineer Intern

  • TensorFlow and PyTorch platform for supply chain security. Counterfeit identification 15% faster.
  • TensorFlow
  • PyTorch
  • Python

May 2024 – Aug 2024

Freddie Mac

Software Engineer Intern

  • Backend throughput up 30% via SQL, REST, indexing, and caching.
  • Database load down 50%, stabilizing Spark reporting pipelines.
  • Python
  • SQL
  • REST
  • Spark

Jan 2024 – May 2024

Solvitur Systems

Cyber Security Intern

  • End to end testing, agile QA, static code analysis, and penetration testing.
  • Static analysis
  • Pen testing
  • Agile QA

Jan 2023 – Aug 2023

Uber

Fellowship

  • SQL predictive pricing models. Forecast accuracy up 15%, margins up 10%.
  • SQL
  • Data pipelines
  • Forecasting

03 Projects

Four things I built end to end.

Full stack · Applied AI

OutfitGenie

Turns your actual closet into outfit recommendations.

Problem
People own more clothes than they can track, so "what do I wear" gets decided on incomplete information.
Approach
Catalog the wardrobe from photos, describe items with OpenAI Vision, pair a recommendation engine with a stylist chat.
Outcome
350+ users, 5,000+ generations, ~85% positive. Latency down ~25% under load.
  • React
  • Flask
  • PostgreSQL
  • OpenAI Vision

View repository

Machine learning · Fraud

FinTech Risk Analyzer

Fraud detection that explains itself.

Problem
Fraud signal lives between transactions, across merchant, device, and geography, not in any single row.
Approach
ML scoring plus a rule layer, with a plain language explanation attached to every flag.
Outcome
A dashboard that ranks transactions by risk and shows its reasoning, so it stays auditable.
  • Python
  • Machine learning
  • Rule engine
  • Dashboard

View repository

  • Users150+
  • Categorization accuracy~90%
  • Manual entry−50%
  • Retrieval time−35%

Android · On-device ML

getSense AI

A budgeting app that stops asking you to type in receipts.

Problem
Budgeting apps fail for a behavioral reason: manual entry is tedious enough that people quietly stop.
Approach
Reads receipts with OCR, categorizes with an ML classifier, and searches your history in plain language.
Outcome
150+ users at ~90% accuracy, halving manual entry.
  • Java
  • Room DB
  • OCR
  • ML classification

Full stack · Maps

NomNote

A food journal for what was worth going back for.

Problem
Meal notes scatter across camera rolls and group chats.
Approach
One record per meal, with rating, notes, and photos tied to real places through Google Maps.
Outcome
A searchable, location aware history of your own taste.
  • React
  • Node.js
  • MySQL
  • Google Maps

View repository

04 Stack

What I work in.

Languages

  • Python
  • Java
  • JavaScript
  • TypeScript
  • C / C++
  • Go
  • HTML / CSS

Frameworks & Tools

  • React
  • Node.js
  • Angular
  • Express
  • Next.js
  • Spring Boot
  • Django
  • Flask

Cloud & DevOps

  • AWS
  • Azure
  • Docker
  • Kubernetes
  • Jenkins
  • CI/CD
  • Git
  • Unix

Data

  • SQL
  • NoSQL
  • PostgreSQL
  • MongoDB

05 Education

Degree and certifications.

  • LocationFairfax, Virginia
  • GraduatedDecember 2025
  • GPA3.8

George Mason University

06 Contact

Hiring, or just want to compare notes?

Direct

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