About Me
Howdy! I'm Satvik Hegde, but I go by Vik. I'm a San Antonio native currently pursuing my computer engineering degree at Texas A&M University. When I'm not diving into emerging tech trends or exploring the cryptocurrency space, you can find me unwinding at the piano, where I've been playing for several years.
My passion for technology extends beyond the classroom - I love building solutions that make a real impact. Between coding sessions, I've discovered a new addiction to pickleball, appreciating both its strategic depth and competitive spirit. And after a good match, there's nothing better than exploring local restaurants (though Chipotle remains undefeated) or catching up on the latest One Piece episodes.
I'm always excited to connect with fellow tech enthusiasts, whether it's to collaborate on projects, share insights, or discuss the future of blockchain technology. Let's build something amazing together!
Involvements
Accenture Student Leadership Program
Alpha Kappa Psi
Sponsors for Educational Opportunity (SEO)
Interests & Hobbies
Chipotle
Cryptocurrency
Fitness
Philosophy
Piano
Pickleball
One Piece
Brawl Stars
Education
Texas A&M University
Bachelor of Science in Computer Science
Applied Mathematics Minor
GPA: 3.76/4.00
Work Experience
Software Engineering Intern
Wells Fargo
Jun 2025 - Aug 2025
Dallas, TX
- Modernized legacy systems by engineering a cloud-ready, full-stack microservice with React, Java Spring Boot, Kafka, and REST APIs, improving backend scalability and performance for 10M+ customer records
- Reduced log investigation time by 60% by building a RAG-based AI chatbot with FastAPI, Streamlit, and Splunk, enabling natural language querying of system logs to accelerate root-cause resolution
- Achieved 95% test coverage by implementing robust automation testing with Selenium, Karate, JUnit, and Jest; contributed to CI/CD pipelines with Jenkins and collaborated in Agile sprints using JIRA and Confluence
React
Java Spring Boot
Kafka
REST APIs
FastAPI
Streamlit
Splunk
Selenium
Jenkins
Software Engineering Intern
Optivy AI
Jan 2025 - Present
Dallas, TX
- Developed and deployed an AI-powered compliance chatbot using Next.js, FastAPI, and Llama 2, automating responses to over 5,000+ compliance and fraud detection inquiries monthly and reducing manual workload by 40%
- Enabled real-time document analysis by integrating AWS Textract for AI-powered OCR, extracting and validating key data from legal documents to streamline compliance workflows
Next.js
FastAPI
Llama 2
AWS Textract
AI
OCR
Product Management Intern
Texas A&M Dept. of Innovation – New Ventures Division
Aug 2024 - Present
College Station, TX
- Used Agile development methodology to generate IP viability reports on 20+ technologies, synthesizing insights on tech applicability and potential partnerships, resulting in 5 targeted outreach initiatives to industry leaders
- Evaluated 50+ patents and research initiatives at Texas A&M's Venture Division, identifying commercialization opportunities and high-growth industry applications, resulting in recommendations for 10+ market-ready technologies
Agile
Product Management
Market Research
IP Analysis
Software Engineer/Founder
RadarApp
Jan 2024 - Feb 2025
Dallas, TX
- Led the end-to-end product lifecycle for a Flutter-based mobile app in an Agile environment, driving 150+ sign-ups and projecting $10,000 in B2B/B2C ticket sales through feature roadmaps, user research, and iterative improvements
- Led cross-functional Agile sprints to design and deploy 12 scalable Flutter features for live event use cases, enhancing user engagement and driving a 73% increase in user acquisition
Flutter
Agile
Product Development
User Research
Software Engineering Intern
Springer Capital
May 2024 - Aug 2024
Chicago, IL
- Developed a robust back-end system using Node.js and MongoDB, securely managing and storing over 50,000 users, project, and investment records, ensuring data integrity and scalability
- Designed and integrated a RESTful API with Express.js, optimizing communication between React-based front-end and back-end services, reducing response time by 40% and significantly enhancing platform performance
Node.js
MongoDB
Express.js
RESTful API
React
Projects
SegmentWell | 3rd Place Google x Wells Fargo Hackathon
An AI-powered segmentation tool with Next.js frontend and Flask backend, integrating Pandas and Scikit-learn for automated selection between DBSCAN, K-Means, and GMM using Silhouette scores.
Next.js
Flask
Pandas
Scikit-learn
Vertex AI
+4 more
Notionary
Developed and implemented a full-stack Next.js web application that uses data from Notion databases to generate JSON files that can be converted to accessible and comprehensive quizzes based on user specifications.
Next.js
TypeScript
Tailwind CSS
Notion API
Groq API
+3 more
Bolt ENS (Domain Sniper)
A real-time Ethereum Domain Sniping system, capable of processing 1,000+ transactions per minute with 99.9% uptime through redundant connections to Alchemy and Infura WebSocket providers.
JavaScript
Node.js
Ethers.js
Alchemy API
Infura API
+2 more
Get In Touch
Contact Information
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