CV

Work Experience

Machine Learning Scientist, Cellular Intelligence (Boston, USA) Sep. ‘24 – Present

• 6th engineer at a Harvard-MIT spin-off building multi-modal foundation models for life sciences ($60M+ raised, led by Khosla Ventures).
• Co-authored publications at ICML, ICLR, and Nature Machine Intelligence on pre-training strategies and measurement noise scaling laws for single-cell foundation models.
• Designed and implemented pre-training and post-training pipelines for billion-parameter transformers on terabytes of single-cell genomics data across 32 AMD MI325x GPUs using PyTorch FSDP and SLURM.
• Developed a reasoning LLM via rejection sampling for data curation, SFT for cold-start, and GRPO with vLLM rollouts — improving automated biological annotation quality.

Research Experience

Visiting Researcher, Harvard University (PI: Prof. Stephanie Gil) Apr. ‘24 – Sep. ‘24

• Designed efficient transformer attention mechanisms for spatio-temporal demand forecasting, applied to shuttle bus scheduling on the Harvard campus.

Undergraduate Researcher, Caltech (PI: Prof. Aaron Ames) Jun. ‘23 – Aug. ‘23

• Developed CVAEs and diffusion models to learn residual dynamics for drones, enabling tighter safety guarantees with discrete-time control barrier functions; resulted in an ICRA 2024 publication.

Undergraduate Researcher, Caltech (PI: Prof. Aaron Ames) Jun. ‘22 – Aug. ‘22

• Accelerated model predictive control solvers by implementing custom matrix operations, reducing per-step computation time for real-time robotic control.

Education

MSc Computer Science (Machine Learning), with Distinction, Imperial College London Sep. ‘23 – Sep. ‘24

• Selected Coursework: Deep Learning, Reinforcement Learning, Graph-Based Learning, Software Engineering for ML Systems, Natural Language Processing.

BEng Engineering (Robotics), Imperial College London Oct. ‘20 – Jun. ‘23

Awards

• Fulbright Scholarship — one of only three recipients in Poland (declined to work in industry), ‘24/’25
• MSc Distinction — highest classification for UK master’s degree, ‘24
• Best Student in Poland — perfect score in matriculation exams, ‘20

Open Source Contributions

Stanford Biomni — General-Purpose Biomedical AI Agent — Autumn ‘25 Implemented state-of-the-art foundation models (ESM-2, Transformer, scGPT, STATE) with standardized interfaces (Python, LangChain).

MIT Hackers Club (Sundai.ai) — Various Projects — Autumn ‘24 Built a multiplayer LLM-powered game (Next.js, TypeScript, Tailwind, Convex, Vercel).

Technical Skills

• Systems: AWS, GCP, Git, Docker, Linux, SLURM
• ML: PyTorch, Hugging Face, DeepSpeed, FlashAttention, FSDP, DDP, CUDA, ROCm, LangChain, Optuna, Composer, Weights & Biases, Triton
• Web: FastAPI, React, TypeScript, Nginx

Teaching and Leadership

Polish AI Olympiad, Volunteer — Feb. ‘24 – Jun. ‘25 Contributed to the design of final-round problems for the Polish AI Olympiad.

Open Avenues, Volunteer Teacher — Sep. ‘24 – Sep. ‘25 Designed and delivered weekly machine learning and AI classes for community college students across the US.

Imperial Driverless, Founder — Sep. ‘21 – Sep. ‘22 Founded and led a team of 20+ students building autonomous driving software; coordinated perception, planning, and control, and competed on the Silverstone F1 track.