Adi portrait
👋

Hello, I'm Adi. I am a highly skilled and motivated software engineer located in San Francisco, CA. I am passionate about building scalable and efficient software solutions, that can be used to solve real world problems. I recently graduated with a Master's degree in Computer Science from the University of San Francisco.

Contact me here Download CV

About me

My ability to learn new skills allowed me to seamless transition into software engineering, I completed my Master's degree in Computer Science at the University of San Francisco with a GPA of 3.9/4.0.

My educational journey has been diverse, including a Bachelor of Laws from O.P. Jindal Global University, and a Bachelor of Arts in History from the University of California, Los Angeles. Prior work experience includes working as a lawyer in New Delhi, India, and as a legal assistant in Los Angeles, CA.

Relevant coursework includes: Machine Learning, Intro to AI, Algorithms, Full-Stack Development, Network Programming, Modern Parallel Programming, and Human-Computer Interaction.

My diverse educational and work experience has given me a unique perspective on problem solving, and the ability to think outside the box. It has also made me a strong communicator, and team player. I'm a strong self-learner, always seeking to enhance my knowledge and skill set.

Outside the classroom, I am an avid athlete, and enjoy playing golf and running. I recently completed my first marathon!

Projects

Machine Learning

Golf Swing Analyzer

Using Neural Networks, Computer Vision, and a custom KNN algorithm to detect and compare golf-swings

  • Python
  • PyTorch
  • MediaPipe
  • OpenCV
  • Neural Networks
  • KNN

Auto-Integrate

Integrate data from multiple sources and applications using custom built GPT-4 multi-agent framework

  • Python
  • GPT-4
  • Autogen
  • OpenAI
  • Llama-2
  • LLM

Federated Machine Learning

Machine learning model that trains on data from multiple sources without sharing the data

  • Python
  • Rust
  • Machine Learning
  • Distributed Systems
  • Protobuf

Distributed Systems

Geospatial Tracking and Resource Allocation

Geospatial tracking of drones and resource allocation of charging using different policies

  • Go
  • Protobuf
  • Distributed Systems
  • Machine Learning

Full Stack

Portfolio

This website!

  • React
  • Next.JS
  • Tailwind CSS
  • TypeScript
  • Framer Motion

Hotels.com

A Hotels.com full-stack application. With a frontend and backend built in Java, and connected to a MySQL database.

  • Java
  • Bootstrap
  • MySQL
  • HTML
  • Templates
  • Servlets
  • JavaScript

Cloud Computing

Auto-Cloud Deployer

Automating the deployment of application to cloud service providers

  • TypeScript
  • Docker
  • Google GCP
  • Microsoft Azure

Systems and Networks

RISC-V Pipeline Processor

A 5 stage pipeline processor with a Hazard Unit

  • Digital Design
  • RISC-V
  • Assembly

Network Compression Detection

Detect if compression is present on a network path

  • C
  • TCP/IP
  • UDP
  • Sockets
  • Networks

Network Simulation & Differentiated Services

Implementing differentiated services on a simulated network to control traffic flow

  • C/C++
  • NS-3
  • TCP/IP
  • UDP
  • Sockets
  • Networks

My Skills

Languages

Framewokrs, Libraries & Tools

My Experience

Contact me

Please contact me directly at aditya17varma@gmail.com or through this form.