Experience

My professional journey

Work Experience

June 2022 - Present

Per Diem Research Associate

The Benjamin Greenbaum Lab at Memorial Sloan Kettering Cancer Center

Currently building an agentic-RAG AI research assistant to improve productivity of research scientists.

  • Improved data pipelines by generating automated multi-level summary reports at patient, mutation, and clone levels.
  • Conducted BLAST and statistical analysis on 80+ bladder cancer patients, spanning 3,700+ genes and 100,000+ ninemers using Python and SLURM.
  • Analyzed 700+ signal peptides and protein expression using Random Forest and Selenium for a research paper.

May 2026 - Present

AI Intern

Ascendion Inc.

Researching emerging AI systems including Graph RAG, LLM Wiki architectures, token optimization, SLMs, multi-agent evaluation, and voice-to-voice models for enterprise AI applications.

    Aug 2025 - Present

    Men's Soccer Staff

    Wisconsin Athletics

    • Creating weekly opponent scouting reports using video analysis and advanced metrics (possession %, PPDA, deep completed crosses, aerial duels won, etc) to inform tactics for 10+ matches.
    • Engineered an internal AI-driven intelligence platform featuring player and team performance analytics, with data visualization across 30+ metrics from 27 training sessions.
    • Supported with training, equipment, and matchday operations, ensuring smooth execution alongside coaching staff.

    Jan 2026 - Present

    Head of Software

    WiscoHumanoids

    • Lead software strategy for a 50-member team, overseeing development in robot policies, imitation & reinforcement learning, perception (SLAM, VLA), simulation (URDF, Isaac Sim), full-stack ROS2 integration.

    Jan 2026 - Present

    Career Coaching Scholar

    Apple

    • Selected as 1 of 23 mentees for a competitive 6-month mentorship with an Apple engineer.

    Sep 2025 - Present

    Vice President of Engineering

    Software Development Club

    • Hosted meetings for 100+ club members, introducing them to diverse aspects of the computer science industry.
    • Directed the projects committee, guiding members through semester-long group coding projects in interest areas.

    Education

    2024 - 2028

    B.S. in Computer Engineering and Computer Science

    University of Wisconsin-Madison

    In progress. Focused on applied data science and AI/ML.

    • GPA: 3.8/4.0
    • Posse Scholar
    • Relevant coursework: Matrix Methods in Machine Learning, Big Data Systems, Operating Systems

    2020 - 2024

    High School Diploma

    Stuyvesant High School

    Graduated with distinction. Active in student clubs and leadership.

    • GPA: 4.0/4.0
    • SAT: 1560
    • Founder and President of Sports Management Club
    • Stuyvesant Spectator (Sports Writer)
    • Stuyvesant Student Union (External Affairs)
    • Stuyvesant Honor Society ARISTA (Tutor and Volunteer)
    • Stuyvesant Writing Center (Editor)
    • Stuyvesant Big Sib Program (Mentor)
    • Stuyvesant Wellness Council (Co-Chair)
    • Varsity Soccer Team (Athlete)

    Professional Learning

    Ongoing self-directed learning organized by focus area, combining coursework, programs, and independent study.

    Machine Learning & AI

    Building strong theoretical foundations and hands-on experience in modern machine learning and language models.

    CS50's Introduction to Artificial Intelligence with Python

    HarvardX2025

    Complete. Course projects on GitHub for practical experience.

    Systems & Networking

    Developing an understanding of networking fundamentals and real-world system design.

    Cisco Certified Network Associate (CCNA)

    Cisco2025

    Complete. Badge on LinkedIn for display.

    Cloud Computing & DevOps

    Developing an understanding of cloud infrastructure, deployment, and continuous integration/continuous deployment (CI/CD) practices.

    AWS Certified Cloud Practitioner (CCP)

    AWS2026

    Complete. Badge on LinkedIn for display.

    Algorithms & Problem Solving

    Strengthening algorithmic thinking and data structure fundamentals.

    Grokking Algorithms

    Aditya Bhargava

    Industry Exposure & Programs

    Engagement with industry engineers and real-world software development practices.

    Goldman Sachs Engineering Possibilities Summit

    Goldman Sachs2025

    Student Leadership Fellow

    Accenture2026

    Built a 13-signal data integration scoring tool and gained industry insight through Accenture mentorship.