Hi, I'm Aditya Jain

Software Engineer & AI Enthusiast

Computer Science student at Georgia Tech passionate about building intelligent systems and scalable software solutions.

Get in Touch View My Work

About Me

I'm a Computer Science student at Georgia Institute of Technology, specializing in Artificial Intelligence, Systems, and Architecture. My passion lies in building intelligent systems that solve real-world problems.

I have experience working with cutting-edge technologies in machine learning, data engineering, and full-stack development. From building AI-powered cold outreach tools to developing real-time brain tumor segmentation systems, I love tackling challenging problems that push the boundaries of what's possible.

When I'm not coding, you can find me leading the Sponsorship Team at Startup Exchange, organizing AI workshops, or exploring new technologies to add to my toolkit.

3+

Internships

10+

Technologies

5+

Projects

Education

Georgia Institute of Technology

May 2027

Bachelor of Science in Computer Science

Minor in Mathematics

Concentrations: Artificial Intelligence, Systems and Architecture

Relevant Coursework:
  • Object-Oriented Programming
  • Data Structures and Algorithms
  • Computer Organization and Programming
  • Introduction to AI and Robotics
  • Discrete Math, Linear Algebra
  • Probability and Statistics

Work Experience

Data Engineer Intern

Intercontinental Exchange (ICE)

June 2025 - August 2025

New York, NY

  • Engineered a fixed income analytics dataset by consolidating 500M+ trades from fragmented sources using Python and SQL
  • Designed data transformation pipelines to normalize trade rates, pricing, and liquidity metrics for downstream analytics
  • Built interactive Streamlit applications to visualize bid-ask spreads, adjusted bid sizes, and market liquidity metrics
  • Presented insights to the President of Fixed Income & Data Services, directly influencing data production and tooling roadmaps to support $30 million decision-making for cross-asset collateral allocation and product pricing

Software Engineer (Sponsored Project with Product at GT)

June 2024 - August 2024

Atlanta, GA

  • Built a 3D simulation to model the installation and removal across dozens of constrained electrical environments
  • Implemented A* and PPO-based reinforcement learning to avoid wire collisions and generate ideal paths with 98% accuracy
  • Led a team of 10+ to create end-to-end autonomy testbeds, GIT-based versioning control, and assembly guidelines process

Machine Learning Engineer (QtoGrad)

Restica Inc.

June 2023 - September 2023

Remote

  • Developed and sold an AI platform to expedite homework grading hours for math instructors in the U.S. Air Force Academy
  • Created a proprietary content recognition algorithm using OpenCV to extract data from unstructured handwritten inputs
  • Raised $185k for the first HaaS, Multiple OCR, and a fine-tuned LLM to produce and evaluate outputs with 90% accuracy

Featured Projects

SlideLn: AI Cold Outreach Assistant

Deployed an automation assistant that automates research-to-email workflows with over 1K+ users and 500K+ impressions. Integrated Gmail and Outlook APIs for secure user authentication and one-click email sending from connected accounts.

  • Used GPT to scrape contact information and contextual metadata from websites
  • Improved match rate by 3x through advanced data processing techniques
Python OpenAI API Gmail API Automation

PerfectPunch Boxing Trainer

Developed a real-time computer vision system to evaluate punching form, speed, and accuracy using PyTorch and MediaPipe. Built a low-latency Django web app that captured live video input via webcam and processed with OpenCV.

  • Integrated an interactive dashboard to provide feedback and consistency tracking
PyTorch MediaPipe OpenCV Django

SurgeVision: Real-Time Brain Tumor Segmentation

Used Flask, OpenCV, and PyTorch to create an application for real-time brain tumor segmentation on MRI scan samples. Implemented an AR overlay to control between MRI images and medical data with hand gestures within live camera feeds.

  • Created a Swift iOS app that interfaced with an Arduino IMU via Google Firebase
  • Achieved 100+ hz sampling finger stability
Flask PyTorch Swift AR Medical Imaging

Technical Skills

Languages

Python Java Kotlin JavaScript TypeScript C C++ C# Swift

Libraries & Frameworks

Node.js React.js Angular Flask Django OpenCV PyTorch TensorFlow Pandas Streamlit

Tools & Technologies

Git Docker Google Cloud Platform Microsoft Azure AWS Jupyter Notebook GitHub Actions

Focus Areas

Artificial Intelligence Machine Learning Data Engineering Computer Vision Full-Stack Development Systems Architecture

Get In Touch

I'm always open to new opportunities, collaborations, or just a friendly chat about tech. Feel free to reach out!

adiya.jain@gatech.edu (201) 616-9314 linkedin.com/in/aditya-jain27 github.com/aditya-p27