Sarvesh S Prabhu
A passionate software developer and researcher specializing in deep learning, medical image segmentation, and AI-driven analytics.
Education
Purdue UniversityWest Lafayette, IndianaFall 2026 – Fall 2028
- B.S. in Artificial Intelligence
- Junior Standing upon entry (86/120 Credits Transferred)
- GPA: N/A
George Walton Comprehensive High SchoolAugust 2022 – May 2026
- Weighted GPA: 4.427/ 5.0
- Unweighted GPA: 3.813 / 4.0
- SAT Score: 1540 / 1600
- 3x High Honor Roll Recipient
Georgia Institute of Technology (Dual Enrollment)August 2025 – May 2026
- MATH 1554 (Linear Algebra – A)
- CS 1301 (Computing in Python – A)
- MATH 2551 (Multivariable Calculus – In Progress)
- CS 1331 (Object-Oriented Programming – In Progress)
Kennesaw State University (Dual Enrollment)August 2024 – December 2025
- ENGL 1101 (Composition I – A)
- ENGL 1102 (Composition II – A)
- ENGL 2131 (American Literature – A)
Professional Experience
Software Development Intern
DocuBridge
June 2025 – July 2025
- Built and deployed a full-stack AI-powered Excel analysis platform using Flask, Pandas, and Google’s Gemini API, enabling business analysts to extract insights and ask questions from spreadsheets without writing formulas.
- Processed 120+ unique Excel files ranging from 500 to 15,000+ cells, applying automated summaries, data validation, and error handling across 3 parsing engines (openpyxl, xlrd, fallback).
- Engineered a Gemini-powered natural language interface handling over 150 queries, including descriptive metrics, trend analysis, and root-cause anomaly detection.
- Collaborated with a development team to present the platform during Demo Day, showcasing a live workflow from file upload to visualization.
Software Development Intern
Nextgen Consulting
June 2024 – July 2024
- Developed front-end web components using HTML, CSS, JavaScript, and Bootstrap to enhance client-facing interfaces.
- Utilized Chrome DevTools and Lighthouse to debug bottlenecks, reducing page load times by 20–25% during internal testing.
- Improved cross-browser compatibility and responsive design across desktop and mobile platforms.
- Contributed to code reviews and agile project discussions with the senior engineering team.
Lesion-Segmentation
- Engineered a CNN-based deep learning pipeline for end-to-end medical image segmentation.
- Includes preprocessing, model training, evaluation, and visual inference.
- Achieved clinical-grade boundary delineation for skin lesion datasets.
Python
Forestfire-Detection
- Trained ML models (Random Forest, Gradient Boosting) on NASA FIRMS imagery.
- Evaluates real-time wildfire risk with an interactive GUI and satellite data integration.
- Automated PDF reporting and hotspot visualization.
Python
DocuBridge AI Platform
- Conversational AI platform for natural language spreadsheet analytics.
- Uses Gemini API for automated operational insights and formula-free data extraction.
- Built with Flask and Pandas for robust backend data processing.
Python
Neuro-Assist
- Brain-health support application featuring interactive modules for task responses.
- Built with TypeScript for simulated assistive interactions.
- Focused on scalability and real-time user feedback.
TypeScript
AI-Financial-Assistant
- Intelligent conversational agent leveraging financial data sources.
- Simulates investment strategies and provides personalized financial advisory.
- Built with Python and modern web frontend components.
Python
HTML
SolarStorm-Detection
- Anomaly detection model analyzing space weather data for geomagnetic patterns.
- Features automated alerts for identified storm activities.
- Implemented in TypeScript for high-performance data modeling.
TypeScript
Academic & Enrichment Programs
Harvard Undergraduate Ventures Tech Summer Program
June 2025 – July 2025
Summer of 11th Grade
20 hrs/wk for 5 weeks
- Selected as one of ~100 participants for a 6-week internship-based accelerator, hosted by Harvard Ventures and SEAS, pairing students with venture-backed startups for hands-on experience.
- Interned at a seed-stage tech startup, collaborating with the CEO and 3-person founding team to design and present a solution to a real business challenge—resulting in a functional product prototype and internal pitch.
- Participated in 43 live sessions, including workshops and fireside chats with Harvard professors, Forbes 30 Under 30 investors, and startup operators, covering product-market fit, go-to-market strategy, fundraising, and investor relations.
- Developed and delivered 2 formal project presentations with startup leadership and Harvard Ventures mentors, incorporating user research, competitive analysis, and technical feasibility.
- Gained 70+ hours of training and exposure to startup decision-making cycles, venture capital dynamics, and cross-functional product thinking, mirroring aspects of MBA-level casework.
SMASH Academy
June 2024 – July 2024
Summer of 10th Grade
40 hrs/wk for 3 weeks
- Selected among top high school students nationwide for SMASH Academy, a free residential STEM immersion program serving 1,200+ scholars annually across university campuses.
- Completed 70+ hours of structured technical instruction in HTML, CSS, JavaScript, algorithms, and design thinking, supported by daily coding labs and collaborative exercises.
- Developed an MVP wildfire detection web app as a team project and presented to peers and mentors as part of the final capstone project showcase, placing 3rd.
- Participated in 5 college readiness seminars and STEM mentorship sessions, receiving direct guidance from faculty, graduate students, and industry professionals.
- Gained early exposure to project design cycles, user-focused development, and collaborative teamwork, building skills that align with undergraduate-level CS coursework.
Research
Lesion Segmentation Deep Learning Framework
Research Assistant / Lead Author
IEEE Xplore / ICIPCN 2026
August 2025 – Present
- Conducted collaborative research with Prof. S. S. Sivaraju and Prof. Subramaniam Ganesan to develop LesionFuseNet, a hybrid deep learning framework integrating residual learning, attention mechanisms, and multi-scale feature fusion for skin lesion segmentation.
- Achieved 98% Dice Similarity Coefficient (DSC) and 97% Intersection over Union (IoU) on ISIC 2017/2018 dermoscopic datasets, outperforming established U-Net–based architectures.
- Research accepted for publication in IEEE Xplore and selected for oral presentation at ICIPCN 2026 (6th International Conference on Image Processing and Capsule Networks).
Wildfire Machine Learning Prediction System
Lead Developer & Researcher
Published in IJSRA (Impact Factor: 8.2)
April 2025 – August 2025
- Developed a wildfire prediction system using Random Forest and Gradient Boosting, achieving ~85.3% accuracy on NASA wildfire datasets; published work in International Journal of Science and Research Archives (Vol. 16, Issue 2, 2025).
- Integrated NASA FIRMS API and satellite imagery to generate real-time visual overlays and automate real-world risk analysis.
- Designed a Tkinter GUI for CSV uploads, visualizations, and automated PDF reporting—reducing manual assessment time by ~40% and earning 1st Place at the North Central Tech Competition.
- Integrated Earth Imagery APIs to fetch satellite tiles at 0.1° resolution for hotspot risk assessment.
Volunteering
Web Development Volunteer
Sera Trust
Jan 2024 – Present
140 hours total
- Architected and launched official website using HTML/CSS/JS, optimizing mobile responsiveness and averaging 500+ monthly visitors.
- Automated volunteer onboarding via Google Forms & Sheets, increasing registration interest by 30%.
- Built JotForm chatbot handling 100+ submissions in 60 days to answer FAQs and donor queries.
- Developed a mental health awareness section and internal document conversion tools for staff efficiency.
Tutoring Volunteer
American Assimilation Helpline
Oct 2022 – Jan 2023
11 hours
- Tutored 3 immigrant children in math and reading, boosting confidence and academic readiness.
Book Collection Volunteer
Books Without Borders
Aug 2023 – May 2024
25 hours
- Sorted and donated books at a community shelter (Books for Africa) to expand access to educational resources.
Extracurriculars
President and Co-Founder | Walton High School Chess Club
Aug 2024 – Present
11th and 12th Grade
1 hrs/wk for 30 weeks
- Founded the Chess Club and grew membership to 43 active members within two years.
- Led weekly strategy sessions, organized ladders, and prepared members for regional and state competitions.
- Established and captained both Varsity and JV teams in Georgia High School Association (GHSA) E-Sports Chess and Georgia Chess Association events.
- Achieved 1st Place at the MLK Team Tournament (2025) and 2nd Place at the Georgia State Qualifier (2025).
- Raised $350 using club dues and collaborated with administration to secure additional funding and transportation for competitions, and used club dues to host chess events and buy chess boards.
- Currently organizing a joint chess tournament with a neighboring high school (Wheeler High School), expanding community engagement and competitive opportunities for members.
Team Captain | PlayVs Georgia High School Association Chess
Aug 2024 – May 2025
11th Grade
1 hrs/wk for 30 weeks
- Competed in the GHSA E-Sports Chess League, representing Walton High School against 50+ Georgia high schools each season.
- Served as a Varsity starter on a 3-person team, winning 2× State Championships (2024, 2025) and securing #1 regional placement both years.
- Selected and managed players for both the Varsity and JV teams, ensuring balanced rosters; JV achieved Top 5 state finishes in consecutive seasons (2024, 2025).
- Contributed as a substitute player for JV while training with both squads through weekly strategy sessions, ladder matches, and tournament prep, building depth across the club’s competitive teams.
- Awarded a Varsity Letter from Walton High School in recognition of competitive success and contributions to the chess program.
Junior Varsity Participant | Walton High School Math Team
Aug 2022 – May 2024
9th and 10th Grade
1 hrs/wk for 25 weeks
- Competed in county-level mathematics tournaments, solving timed problems across algebra, geometry, probability, and number theory.
- Contributed as part of the Junior Varsity team, collaborating on group rounds that emphasized teamwork, logical reasoning, and speed under pressure.
- Attended weekly practice meetings, working through advanced problems sets that deepened understanding of competition math topics and built faster solving techniques.
- Helped Walton place consistently in the top half of competing schools at local contests, strengthening the school’s academic representation.
- Gained exposure to mathematics beyond the classroom curriculum, including contest-level strategies later applied in AP Statistics and linear algebra coursework.
Honors & Awards
- Publication & Speaker: Accepted in IEEE Xplore & Oral Presenter at ICIPCN 2026
- North Central Tech Competition: 1st Place (Project Programming) & 3rd Place (Project Programming)
- E-sports State Champion: 2x 1st Place – PlayVs Georgia High School Association (GHSA) E-sports
- Academic Honors: 2x AP Scholar with Distinction Award Recipient
- Walton High School: 3x Letters and Bars Award (High Honor Roll Recipient)
- Collegeboard National Recognition Program: School Recognition Award
- GA Student Technology Competition Qualifier
- 100+ Hard LeetCode Problems Solved (Earned LeetCode Badge)
- SERA Trust 120+ Volunteer Hour and Valuable Volunteer Certificate
Technical Skills
Python
TypeScript
JavaScript
HTML5/CSS3
Bootstrap
Flask
Pandas
TensorFlow/PyTorch (CNNs)
Git
Google Gemini API
Certifications
AWS Certified AI Practitioner
Foundational knowledge of machine learning and AI services on AWS.
View CredentialStanford Machine Learning Specialization
DeepLearning.AI & Stanford University specialized coursework.
View CredentialPLTW Digital Electronics EOC
Distinguished achievement in logic design and digital circuits.
View Credential