RESEARCHER.

Hi, I'm Aaditya. I build ML systems, autonomy stacks, and medical AI tools, with a focus on turning research into something real.

About

I study Electrical Engineering + Machine Learning at UC San Diego. My work spans machine learning, robotics, medical AI, and spatial intelligence, usually in the space between a research paper and a shipping product.

Experience
ML Research Intern Incoming YC S21
SafeBeat Rx · Remote
Summer 26
  • Returning to SafeBeat Rx for a second research summer, applying ML to ECG-based diagnostics with a focus on atrial fibrillation recurrence.
    • Co-Founder
    Spatio Labs
    Present
  • Co-founding a startup focused on helping teams debug, test, and validate spatial AI systems across autonomy and 3D reconstruction pipelines.
    • Undergraduate Research Assistant
    Shi Lab · UC San Diego
    Feb 26 – Present
    • Building a finite-difference solver for the Vlasov–Poisson system inside the PDEControlGym framework.
    • Integrating physics-based PDE environments into RL pipelines; evaluating stability and control policies.
    ML Research Intern YC S21
    SafeBeat Rx · Remote
    Jun 25 – Aug 25
    • BiLSTM + attention in PyTorch predicting biological age from ECG, trained on MIMIC-IV.
    • ECG preprocessing and ingestion pipelines with NeuroKit2 and HL7 aECG XML parsing.
    • Augmentation strategies + hyperparameter tuning for small-data generalization.
    Outreach Chair
    IEEE UCSD
    Apr 25 – Present
  • Designed hands-on engineering workshops in soldering, software development, and hardware fundamentals, reaching 500+ students.
    • Professional Chair
    ECE USC
    Apr 25 – Dec 25
  • Led career-focused programming for UCSD ECE students through intern panels, networking events, and professional development initiatives.
    • Product Management Intern YC S21
    SafeBeat Rx · Remote
    Jun 24 – Aug 24
  • Led recruiting and product ops across 150+ candidates, supported ECG dataset annotation for ML model development, and coordinated cross-functional workflows.
    • Projects
    RIIS
    RIIS 🏆 LA Hacks · 2nd Overall
    Autonomous rover for post-disaster survivor detection. Multi-agent AI for detection, voice, and triage. YOLOv8 pose + Gaussian Splatting 3D reconstruction.
    YOLOv8 Gaussian Splatting Multi-agent ASI:One
    LungIQ
    LungIQ 🏆 DiamondHacks · Healthcare
    AI lung cancer decision support. Processes CT scans, reconstructs 3D tumors, retrieves clinically similar cases, surfaces treatment pathways for clinicians.
    Medical AI 3D Reconstruction Retrieval React
    Awards
    2nd Place Overall
    LA Hacks · For RIIS (autonomous survivor detection)
    Apr 26
    Best Use of ASI:One
    Fetch.ai sponsor track · LA Hacks
    Apr 26
    Healthcare Track Winner
    UCSD ACM DiamondHacks · For LungIQ
    Apr 26
    Education
    UCSD
    University of California, San Diego
    B.S. Electrical Engineering + Machine Learning
    Sept 24 – Jun 28
    Stack
    Languages
    Python C++ C JavaScript TypeScript Java SQL
    ML / Data
    PyTorch scikit-learn Keras NumPy Pandas Matplotlib NeuroKit2
    Web / Systems
    React HTML / CSS Tailwind Git YOLOv8 Gaussian Splatting HL7 aECG MIMIC-IV
    Contact
    Always open to research, startup, and engineering conversations. The fastest way to reach me is email.
    Email a2pillai@ucsd.edu → LinkedIn /in/aaditya-pillai ↗ GitHub @aadityaspillai ↗
    © 2026 Aaditya Pillai · San Diego, CA