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Akhil Subbarao

@akhilsubbarao

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UC San Diego student building ML systems and full-stack apps with strong engineering fundamentals.

United States

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What I'm looking for

I’m looking for a role where I can evaluate and improve AI systems (including LLMs), build reliable software with strong testing, and apply ML to real-world data—preferably in a collaborative, fast-moving team.

I’m a UC San Diego student with experience in software engineering, machine learning, and full-stack development. I’m proficient in Python, Java, C++, and JavaScript, and I enjoy turning technical ideas into working web applications, ML pipelines, and signal-processing tools.

As a Technical Research Associate III (AI Systems Evaluation) at Keywords Studios, I evaluate large language model behavior across diverse task settings. I design structured interaction and prompt protocols, analyze qualitative and quantitative trends, and document recurring error patterns to support model improvement.

On the Triton Neurotech Competition team, I helped win 2nd place at the international NeurotechX competition. I developed EMG signal analysis tools and a Psychopy-based GUI, experimenting with PCA and regression models for EMG signal classification.

I also bring leadership and teaching to my work—serving as Triton Neurotech Treasurer & Officer and mentoring others on machine learning libraries like NumPy, pandas, scikit-learn, PyTorch, and TensorFlow. From building a React-based org website to mentoring high school students in Java and 3D animation, I thrive in fast-paced, multidisciplinary environments.

Experience

Work history, roles, and key accomplishments

Current

Technical Research Associate

Current

Keywords Studios

Dec 2025 - Present (6 months)

Evaluated large language model behavior across diverse task settings, focusing on reasoning accuracy and instruction following. Designed prompt protocols, analyzed output trends, and documented recurring error patterns to support model improvement.

Large Language Models LLM Evaluation Instruction Following Quantitative Analysis Error Patterns Research & Documentation

Triton Neurotech Treasurer

Triton Neurotech

Aug 2023 - Aug 2025 (2 years)

Taught members core machine learning libraries including NumPy, pandas, scikit-learn, PyTorch, and TensorFlow. Managed the student organization budget, planned STEM events, and coordinated business connections for fundraising.

NumPy Pandas scikit learn PyTorch TensorFlow Budget Management Event Planning Technical Tutoring

Circle K Tech Team Member

UC San Diego Circle K

Apr 2023 - Jun 2024 (1 year 2 months)

Helped create and implement the organization website using React.js and CSS. Supported ongoing website development for the student organization.

React CSS Website Development Frontend Development Team Collaboration

NeurotechX Project Member

UC San Diego

Oct 2022 - Jun 2023 (8 months)

Developed EMG signal analysis tools and a PsychoPy-based GUI for the NeurotechX competition project, helping the team place 2nd internationally. Built and evaluated PCA and regression-based approaches for EMG signal classification.

EMG Signal Processing PsychoPy GUI OpenBCI (Data Collection)Regression Models Model Evaluation

Robotics Team Mentor

Palo Alto High School

May 2016 - Jun 2019 (3 years 1 month)

Mentored high school students by teaching object-oriented programming in Java. Also taught fundamentals of 3D animation as part of the robotics program.

Java Object Oriented Programming (OOP)Programming Instruction Student Mentoring 3D Animation Basics Educational Support

CSE110 Team Project Member

UC San Diego

Collaborated on a full-stack web application, contributing to frontend UI development, backend integration, and testing pipelines. Implemented features for data handling and user interaction and built Jest test suites for frontend functionality.

Full Stack Web Development Frontend Development Backend Integrations Automated Testing Jest Interaction Project Documentation

Education

Degrees, certifications, and relevant coursework

University of California, San Diego

Bachelor of Science, Cognitive Science (Machine Learning & Neural Computation)

Grade: 3.78 (Major GPA)

Activities and societies: Minors: Computer Science and General Biology.

B.S. in Cognitive Science with a specialization in Machine Learning & Neural Computation. Coursework includes Deep Learning, Algorithms, AI Algorithms, Supervised ML, Neural Signal Processing, Brain-Computer Interfaces, and Neural Data Science.