Jun 2025 – Sep 2025 · 3 mos · London Area, United Kingdom · On-site

• “Generalist” staff member in the Research Software Engineering group of the Advanced Research Computing Centre. Mostly involved with the HPC, DevOps, and Education sub-groups, open-source research theme, and Python tooling.
• Technical work (HPC + DevOps):
• ◦ Added GPU and auto-differentiation support to large-scale cosmological simulations (GLASS) for ESA's Euclid space mission (GPU embedded Computational Science and Engineering grant by EPCC + Euclid space mission grant by the UKSA).
• ◦ Involved with porting UCL's XNAT service from VMs to an in-house kubernetes-based cloud infrastructure.
• ◦ Audited sustainability and user-behavior of UK's national tier 2 high performance computing cluster (Young).
• Educational work:
• ◦ Lead instructor/tutor for several Software Carpentry workshops at UCL.
• ◦ Lead instructor/tutor for several sessions at UCL's Research Software Engineering Summer School.
• ◦ Tutor for the graduate-level "Research Software Engineering with Python" course.
• ◦ Led the development of the curriculum and pyodide/jekyll infrastructure for the first-ever “Research Software Engineering Summer School.”
• ◦ Led the development of the Green HPC course for UCL's HPC cluster.
• ◦ Developed contents and pyodide/jekyll infrastructure for the graduate-level “Research Software Engineering with Python” course.
• Community work:
• ◦ Lead/co organiser for a few events - ARC ❤ Google Summer of Code, GNU/Linux install party, …
• ◦ Lead organiser of the TechSocial series (UCL-wide Research Programming Technical Social series).
• ◦ Co-organiser of “Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies” workshop under the Hamlyn Symposium on Medical Robotics 2025 at the Royal Geographical Society, Imperial College London.

Aug 2024 – Jun 2025 · 10 mos · London Area, United Kingdom · On-site

• Same as above, but with less degree of independence/leadership/ownership.

Jan 2024 – Aug 2024 · 7 mos · Geneva, Switzerland · On-site

• ◦ Worked with the Princeton Institute for Computational Science and Engineering (Princeton Research Computing Group).
• ◦ Extended auto-differentiation support for high-energy physics libraries operating on ragged and JSON-like data.
• ◦ Added symbolic computing support and migrated the vector manipulation backend of Fermilab's analysis framework.
• ◦ Implemented a non-uniform rebinning algorithm and CUDA support for high-energy physics histograms in Python.

Jun 2023 – Aug 2023 · 2 mos · Hamilton, Ontario, Canada · On-site

• ◦ Worked with functional programming, type theory, and logic to add proofs and algorithms for data containers and mathematical operations in Agda’s standard library.
• ◦ Significantly reduced library’s compile time by refactoring the existing API and simplifying the dependency graph.

Jun 2022 – Sep 2022 · 3 mos · Remote

• ◦ Co-authored a Python-based Lorentz vector manipulation library with support for ragged data and JIT compilation.
• ◦ Worked on Scientific Python’s developer guides and tools, and fixed bugs in the Scikit-HEP ecosystem

May 2022 – Oct 2022 · 5 mos · Remote

• Funded by the Julia programming language.

Sep 2021 – Jan 2022 · 4 mos · New Delhi, Delhi, India · On-site

• ◦ Developed end-to-end OCR and object detection libraries in Python by wrapping existing technologies for visually impaired people.
• ◦ Built a CI/CD pipeline and a REST API for ease of integration with any existing software using FastAPI and Heroku.
• ◦ Collected a dataset of human images and their distance from the camera by building a stereovision camera.

May 2021 – Aug 2021 · 3 mos · Remote

• ◦ Built an automated Twitter Bot capable of automatically constructing random Mathematical Simulations of Batteries.
• ◦ Implemented user-facing APIs in PyBaMM, fixed critical bugs (in PyBaMM and upstream packages), and reduced the CI time by ∼30 minutes.