CV

Curriculum vitae covering education, experience, projects, and skills.

Contact Information

Name Aditya Pandey
Email adityapand3y666@gmail.com
Location Ranchi, Jharkhand

Summary

I work on the performance of numerical and machine learning software, including GPU kernels, compiled training loops, automatic differentiation, and the I/O that feeds them.

Experience

  • 2026 - present

    Remote

    Open Source Software Consultant
    Evovest (Quantitative Asset Management)
    Consultancy on the open-source software stack for Evovest.
    • Rewrote the EvoTrees.jl GPU backend using KernelAbstractions.jl for vendor-agnostic kernel execution.
    • Reduced kernel launch overhead and implemented GPU-side histogram, gradient, and gain computations for gradient boosted trees.
    • Delivered a full contract on NeuroTabModels.jl covering TabM, temporal embeddings (TabReD), and ModernNCA, with multi-backend AD across Enzyme, Zygote, Mooncake, and Reactant.
  • 2025 - 2025

    Remote

    Open Source Developer, Google Summer of Code
    CERN-HSF (High Energy Physics Software Foundation)
    Extended ROOT for genomic data using RNTuple.
    • Developed RAMTools, the C++ tools for RAM (ROOT Alignment/Map), a format that stores genomic alignment data in ROOT’s RNTuple columnar storage.
    • Implemented multithreaded conversion from SAM and BAM, and region queries by binary search over the columns.
  • 2024 - 2024

    Remote

    Open Source Developer, Google Summer of Code
    INCF (International Neuroinformatics Coordinating Facility)
    SWC to NeuroML neuronal morphology converter.
    • Developed a Python tool converting neuronal morphology data from SWC to NeuroML format, integrated into PyNeuroML.
    • Tested software against the NeuroMorpho.org repository, ensuring reliability and accuracy.

Education

  • 2022 - 2026

    Ranchi, India

    B.Tech
    Birla Institute of Technology, Mesra
    Bachelor of Technology
    • Database Management Systems, Programming for Problem Solving, Reinforcement Learning
    • Graduated May 2026.

Projects

  • 2024 - 2024
    Rubik's Cube Solver (Korf's IDA*)

    Efficient Rubik’s Cube solver in C++ using BFS, DFS, IDDFS, and Korf’s IDA* with pattern databases.

    • Modeled a virtual 3x3 cube in 3 representations using C++ data structures.

Skills

Programming Languages (Advanced): Julia, C++, Python, CUDA, Bash
GPU & HPC (Advanced): KernelAbstractions.jl, CUDA.jl, Reactant (XLA), Cross-Vendor GPU (NVIDIA/AMD)
ML & Automatic Differentiation (Intermediate): Enzyme, Zygote, Mooncake, Gradient Boosting
Scientific Computing (Intermediate): ROOT Framework, RNTuple, Columnar Data Formats, High-Performance I/O
Tools (Advanced): Git, GitHub Actions, CMake, Docker

Achievements

  • 2017
    Pre-Regional Mathematics Olympiad Qualifier
    Homi Bhabha Centre for Science Education

    Qualified Pre-RMO (pathway to the International Mathematical Olympiad).

Languages

English : Fluent
Hindi : Native speaker

Interests

Scientific Computing: GPU Computing, Automatic Differentiation, High-Performance I/O
Computational Neuroscience: NeuroML, Neuronal Morphology, Neuroinformatics