Abhirama Sonny

Abhirama Sonny

Student · Developer · Researcher

Abhirama Sonny is a student and developer focused on Computer Science, Robotics, and Molecular Biology, building technical solutions to solve problems.

About Me

Student, programmer, and avid researcher in the fields of computer science, molecular biology and robotics.

Abhirama Sonny is a student at Allen High School. He plans to major in Data Science and has experience programming in Python, machine learning, front and back-end web development, and competitive robotics. He is also interested in fields such as Machine Learning, Computational Biology, Fintech, and Autonomous Vehicles.

Abhirama is currently researching molecular biology and its applications with computer science, working on FTC Robotics, and preparing for USABO. In his free time, Abhirama enjoys biking, playing chess, typing, and competitive robotics. Abhirama is interested in scientific research and dedicates much of his free time to researching various topics and fields.

Abhirama Sonny — Coding • Research • Robotics

My Areas of Interest

Machine Learning, Computational Biology, Robotics, Software Engineering, Data Science, Quantitative Finance, Cybersecurity

Projects

Exploring technology and research through innovative solutions and projects.

Heart View Classification

Real-Time Echocardiogram Analysis with Convolutional Vision Transformers and Large Language Models

Built an application that uses a Convolutional Vision Transformers (CvT) to extract key metrics from echocardiogram videos. It then uses a Retrieval-Augmented Generation (RAG) pipeline with vector search to feed DeepSeek r1 (an LLM) sufficient context for an accurate cardiac diagnosis, achieving 93% accuracy in diagnosing the condition. This project is aimed to be used by Cardiac Sonographers as a tool to cross-check their values, and by patients to understand their condition better.

Decentralized Path Optimization

Decentralized Dynamic Path Optimization for Enhanced Efficiency and Safety in Autonomous Vehicle Networks

Co-authored a JISEM paper proposing a peer-to-peer framework that dynamically routes AVs by sharing real-time position, velocity, and environmental data to preempt collisions and reduce congestion. In this system, a car sends the aforementioned data to its neighbors, who then use this information to optimize their own routes. This then allows an algorithm to calculate the optimal path for each car, taking into account the data from its neighbors to reduce traffic and collisions.

Java Neural Network

Custom Neural Network Framework in Java

Developed a custom Java-based neural network framework, from scratch, supporting custom datasets via flexible CSV loaders, dynamic layer configuration, and multithreaded BLAS-style linear algebra routines. Integrated many activation functions (ReLU, LeakyReLU, PReLU, Sigmoid, Tanh, etc), dropout layers, L2 regularization, and grid-search hyperparameter tuning (learning rate, momentum, batch size). Validated on the MNIST dataset, achieving over 98% accuracy within 15 epochs and showcasing rapid convergence and scalability.

Gun Detection ML

Identifying Guns Using Machine Learning Algorithms for Image Recognition and a Rapid Response System to Save Lives

For each of the last three years, there have been over 600 mass shootings, almost two per day on average (gunviolencearchive.org). After the Uvalde and the Allen Premium Outlets tragedies, a faster law-enforcement response could save many lives. This project uses preexisting CCTV infrastructure to run a convolutional neural network (mean Average Precision > 90%) to detect a person carrying a gun in live video streams. Upon detection, it immediately sends authorities a snapshot, description, and precise location. Training data comes from the Internet Movie Firearm Database (imfdb.org) and a custom annotated image repository.

Multi-Modal Few-Shot Learning Diagnosis Framework

A Novel Multi-Modal Few-Shot Learning Approach for Diagnosing Cantú Syndrome

I designed a few-shot learning framework for diagnosing cantu syndrome, a rare genetic disorder, using a multi-modal approach that combines clinical data, genetic information, and medical imaging. The framework utilizes a transformer architecture to learn from limited labeled data, achieving high accuracy in identifying cantu syndrome cases. This project addresses the challenges of diagnosing ultra-rare diseases, using an attention mechanism with 2 layers of training to overcome low sample sizes.

Jaithon

Jaithon: The Jai Programming Language

I created a simplified programming language called Jaithon, inspired by Python and Java, to introduce elementary school students to the fundamentals of programming in an engaging and accessible way. Jaithon includes features such as bootstrapping, which allows the language to compile itself, and an efficient garbage collection system to manage memory automatically. Additionally, I implemented a custom parser/lexer system to process and interpret the language's syntax, enabling students to write and execute code with ease.

Activities

Diverse experiences shaping my growth as a student, programmer, and leader.

Programmer – First Tech Challenge (7172 Technical Difficulties)

Aug ’24 – Present

FIRST is a global nonprofit organization that helps young people learn STEM skills through robotics. I’m a programmer on FTC Team 7172 Technical Difficulties.

  • Won Connect Award (1st place) at the First World Championships
  • Interviewed an Apple engineer about the future of machine learning
  • Advanced to the First World Championship this April

Programmer & Co-Founder – VEX Robotics (14142A Axiom)

May 2025 – Present

Co-founded a private VEX team as a programmer.

  • Developed software including a custom state machine and a publisher/subscriber model to speed up code development.
  • Developed autonomous program securing the auto win point.
  • Designed website for the organization.

Student Researcher – Cambridge Centre for International Research

May 2025 – Present

The Cambridge Centre for International Research (CCIR) provides research opportunities for high school students, by connecting them with postdoc researchers.

  • Awarded CCIR STEM Scholarship (sub 5% acceptance)
  • Researching “Molecular Building Plans for the Cell” under Dr. Jodi Kraus.

Coach – VEX Robotics (Allen ISD)

Sep 2023 – May 2025

Led and coached multiple VEX teams across AISD to world championships.

  • Coached 8 VEX teams (75013A–D) for VEXv5 and VEXIQ to the VEX World Championships
  • Achieved 100% qualification rate for EMS VEXv5 teams
  • Helped found and support teams in 3 middle schools through my area

Board Member – ICI

Nov ’23 – Apr ’25

Inclusive Computing Initiative teaches CS to children with special needs.

  • Facilitated 20+ new members via social media
  • Expanded outreach nationally and internationally
  • Developed and launched the organization’s website

UI/UX Designer – VipraVrinda

Nov ’24 – Present

Vipravrinda is a nonprofit organization uniting the Trimathasta Kannada Brahmin community in America. I developed the website vipravrinda.org for the organization.

  • Designed a responsive site for 200+ members
  • Worked with leadership to create a streamlined onboarding process

Honors & Awards

Recognition and achievements in competitive academic fields.

USABO Semifinalist & 4th Place Nationally

Feb 2025

I scored 39/50 on the USA Biology Olympiad Open Exam, placing 4th out of 5,095 nationally. I achieved an Honorable Mention on the USABO Semifinal examination with a score of 78.4.

USACO Gold Division

Feb 2025

Promoted to the Gold Division in USA Computing Olympiad during the February 2025 competition.

TXSEF Finalist

Feb 2025

I won 2nd Place at DRSEF, and was a finalist at the Texas Science & Engineering Fair for my work on Deep Learning Powered Classification and Analysis of Standard Heart Views in Ultrasound Imaging for Enhanced and Quicker Cardiac Diagnosis.

PicoCTF 4%

March 2025

My PicoCTF placed in the 4% percentile of all participants. I contrubuted 1535 points out of 3710 points to my team.

UNT/Wipro Conference 2nd Place

Aug 2023

I was awarded 2nd Place at the Great Scientist Soiree by UNT and Wipro for the HealthBuddy ML sensor device that monitors heartrate and blood oxygen via a necklace pendent.

Contact Abhirama

Feel free to reach out for collaboration, questions, or opportunities.