Soham Gunturu
CS @ Georgia Tech | SDE @ Amazon
About Me
Hey! I'm Soham Gunturu, a Junior Computer Science student at Georgia Tech. I have a passion for software development, AI, and data science. This summer, I'll be joining Amazon as a Software Development Engineer Intern in Tempe, AZ. I'm also interested in startup culture, so feel free to reach out!
I also have a passion for service. On campus, I participate in HexLabs, designing hackathons for under-resourced youth in Atlanta. Back in Ohio, I led DublinTOP Inc, a non-profit supporting youth through education and tennis. As Executive Director, I impacted over 1000 kids in 3+ states. I aim to find the intersection of technology and service to create meaningful impact throughout my career and beyond!
Education
Georgia Tech
BS in Computer Science
Expected Graduation: May 2027
Key Courses: Data Structures & Algorithms, Object-Oriented Programming, Discrete Math, Linear Algebra, Computer Architecture, Objects and Design
Ohio State University
High School Dual Enrollment Program
Completed: April 2024
Key Courses: Linear Algebra, Multivariable Calculus, Softwares 1, Data Science & Visualization
Projects
Travel App
Built an AI-powered trip planner that leverages Google Gemini LLM to create intelligent, cost-aware itineraries with real-time adaptations. Features include interactive map visualization using MapBox, multi-role user management, and smart recommendations for accommodations and activities using hybrid ML algorithms.
SpeakEasy
Created an app to help users simulate "difficult" conversations based on their specific preferences. Provided specific feedback as to how the user could change their responses to best fit the situation, ranging from a Career Fair to simply talking to a significant other's parents!
GT Marketplace
Developed a full-stack web application for Georgia Tech students to buy and sell items. Features include user authentication, real-time chat, and a responsive design. Utilized Firebase for backend services and ReactJS for the frontend.
DeepQuote
Built a high-frequency trading simulator that replicates real market conditions using a live order book, processing over 10,000 orders per second with detailed order flow and matching mechanics. It supports reinforcement learning agents operating in an 18-dimensional state space, enabling sophisticated trading strategies and real-time PnL tracking.
Other Projects
GT Chatbot
Created a RAG-powered chatbot to help Georgia Tech students find information related to classes, clubs, or anything campus-related! Worked with NVIDIA and AI@GT to complete this project.
MediSenseAI
Fine-tuned an LLM to help diagnose medical conditions based on inputted symptoms. Also create ML algorithms to calculate a user's chance of certain diseases based on certain demographic data.
RoboInvesting
Reimagines financial planning by using an AI to customize a user's investment portfolio. Based off a user's long-term goals, AI will guide the conversation and create a comprehensive finanical plan!
Choice Analysis
Worked with the Ohio Supercomputer Center to analyze human decision-making based on a variety of factors. Then, using ML to simulate these results at the population level, revealing new psychological findings in choice.
ETF Vol Modeling
Analyzed the individual volatility of equities to calculate the theoretical volatility of ETFs and finding mis-priced options to exploit for profit. Used PCA, covariance metrics, and options pricing algorithms for this task.
Skills
Areas of Experience
Languages
Tools & Platforms
Frameworks & Libraries
Experience
Amazon
Incoming SDE Intern
May 2025 - Aug 2025
Tempe, AZ
- Incoming Summer 2025 Software Development Engineer Intern in Tempe, AZ
Georgia Tech College of Computing
Undergraduate Researcher
April 2025 - Present
Atlanta, GA
- Researching quantum physics phenomena using SAT solvers & Computer Algebra Systems for mathematical modeling.
- Analyzing Ramsey's Problem and GHZ theorems through combinatorial mathematics and algorithmic approaches.
- Developing computational solutions for the Kochen-Specker Problem in quantum mechanics applications.
GROWER Lab
Research Intern
Aug 2024 - Current
Atlanta, GA
- Engineered data pipelines to analyze power grid resilience using AWS and Python for large-scale data processing.
- Implemented machine learning models to predict outage patterns and identify infrastructure vulnerabilities.
- Developed visualization tools and presented research findings to stakeholders for infrastructure improvements.
Nationwide Children's Hospital
Data Intern
Jun 2023 - Dec 2023
Columbus, OH
- Designed machine learning algorithms to analyze tumor characteristics and identify pattern correlations.
- Enhanced diagnostic model accuracy by 30% through implementation of advanced statistical techniques.
- Created comprehensive data visualization tools to communicate findings to medical professionals.
Harvard University
Data Intern
Jun 2022 - Aug 2022
Cambridge, MA
- Analyzed demographic trends using statistical methods to identify significant societal patterns.
- Mentored 100+ students in data analytics projects while optimizing departmental CI/CD pipelines.
- Reduced deployment times by 40% through implementation of automated testing and deployment systems.
Ohio Supercomputer Center
Project Specialist
Jun 2022 - Jul 2022
Columbus, OH
- Developed simulation models to analyze human choice-making behavior using high-performance computing.
- Created predictive algorithms to extrapolate individual patterns to population-level insights.
- Built interactive data visualizations to present research findings to psychology department faculty.