What programming languages does Abhirama use?

Abhirama primarily uses Python, Java, and JS for projects ranging from ML to web development.

What areas are Abhirama researching?

Abhirama's research spans computational biology, quantitative finance algorithms, and autonomous vision systems.

What school does Abhirama attend?

Abhirama attends Allen High School in Allen, Texas.

Abhirama Sonny

Student · Developer · Researcher

Abhirama Sonny is focused on Computer Science, Biology, and Quant, leveraging technology to solve complex problems and create innovative solutions.

View Resume Contact Abhirama

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.

My Areas of Interest

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

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.

Head 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

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

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.

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.

Projects

Exploring technology and research through innovative solutions and projects.

Deep Learning Powered Classification and Analysis of Standard Heart Views in Ultrasound Imaging for Enhanced and Quicker Cardiac Diagnosis

Built an application that uses a Convolutional Vision Transformers (CvT) to extract key metrics from echocardiogram videos. It then employs a Retrieval-Augmented Generation (RAG) pipeline with vector search to feed DeepSeek r1 (an LLM) sufficient context for cardiac diagnosis—achieving 93% accuracy in diagnosing the condition. This project is aimed to be used both by sonographers as a tool to double check their values, and also by the general patient as a tool to understand complex medical terms with the use of AI.

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.

Read Article

Java Neural Network

I designed and implemented a neural network from scratch in Java, utilizing linear algebra, multithreading, and object-oriented programming for efficient computation and scalability.

View on GitHub

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 ultra-rare diseases, employing an attention mechanism paired with two layers of training to overcome low sample sizes.

Read Article

Jaithon

I developed a simplified programming language based on Python for educating elementary school students, featuring bootstrapping, garbage collection, and a parser/lexer system.

View on GitHub