About Me
Hey! I'm Soham Gunturu, a Computer Science student at Georgia Tech. I'm specifically interested in software development, AI, and systems engineering. This summer, I'll be joining Databricks as a Software Engineer Intern in Bellevue, WA. I'm also very interested in startups and venture capital, so feel free to reach out if you're building and would like to collaborate or chat!
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: Operating Systems, Compilers and Interpreters, Machine Learning, Data Structures & Algorithms, Probability and Statistics, Algorithmic Design, Introduction to AI, 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
Ari
Built a real-time assistant that personalizes task steps and uses AR and vision pipelines to track objects in the environment, guiding users through exact actions based on surroundings.
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
Languages
Tools & Platforms
Frameworks & Libraries
Experience
Databricks
Software Engineer Intern
May 2026 - Aug 2026
Bellevue, WA
- Built persistence capabilities for different data manipulations in the datagrid, elevating customer satisfaction by 17%.
- Built a data-prep workflow in TypeScript/MobX, shipping 12 grid actions as reusable operators in Lakeflow Designer.
- Engineered PySpark-backed data operators for duplicate removal and null handling, improving product reach by 23%.
Microsoft
Product Fellow
Sep 2025 - Jan 2026
Atlanta, GA
- Developed a full-stack agentic incident management system, estimated to save $500K annually in developer effort.
- Trained a TF-IDF + Logistic Regression pipeline to route incidents to the correct team with 85%+ accuracy.
- Contextualized tickets by surfacing similar historical cases and relevant resources, reducing triage time by 40%.
Amazon
Software Development Engineer Intern
May 2025 - Aug 2025
Tempe, AZ
- Built internal tooling to detect and resolve conflicting custom product offers, cutting error diagnosis time by 20%.
- Raised Buyer Preview usage by 22% by building a full-stack feature for sellers to download a sample fulfillment file.
- Sped up deployment pipeline by 30% through optimization of Seller Central frontend and backend test suites.
Vijay Ganesh Lab
Undergraduate Researcher
Apr 2025 - Present
Atlanta, GA
- Integrating SAT Solver mechanisms with LLMs to enhance model reasoning and learning capabilities by 20%.
- Building a Pydantic AI multi-agent system to apply Conflict-Driven Clause Learning (CDCL) to reasoning models.
GROWER Lab
Data Engineer
Aug 2024 - Current
Atlanta, GA
- Engineered AWS data pipelines for large-scale power grid resilience analysis using Python.
- Built machine learning models to predict outage patterns and identify infrastructure vulnerabilities.
- Delivered dashboards and presentations to stakeholders to support infrastructure improvement decisions.
Nationwide Children's Hospital
Data Intern
Jun 2023 - Dec 2023
Columbus, OH
- Designed machine learning algorithms to characterize tumor data and identify predictive patterns.
- Improved diagnostic model accuracy by 30% through statistical modeling and feature engineering.
- Created data visualization tools to communicate findings to clinical and research audiences.
Harvard University
Data Intern
Jun 2022 - Aug 2022
Cambridge, MA
- Analyzed demographic trends using statistical methods to identify significant societal patterns.
- Mentored 100+ students on analytics projects while optimizing departmental CI/CD workflows.
- Reduced deployment times by 40% through automation of testing and delivery pipelines.
Ohio Supercomputer Center
Project Specialist
Jun 2022 - Jul 2022
Columbus, OH
- Developed HPC simulations to analyze human choice-making behavior.
- Created predictive algorithms to generalize individual decision patterns to population-level insights.
- Designed interactive visualizations for psychology research faculty presentations.