Software Engineering + AI/ML | Data Science @ UC Berkeley | RISE Global Winner
- π Building TacticSquare for UAV coordination simulation and FireImpactology for wildfire exposure analysis.
- π― Focus: multi-agent RL, stochastic combat models, graph optimization, remote sensing.
- π° Working with Sentinel-2 and ERA5 data, downscaled climate projections and geospatial pipelines.
- πΊπ¦ From Ukraine; my projects span heat risk, wildfire exposure and UAV coordination.
- π Kaggle: rank 5 of 564 in Store Sales forecasting, top 1% in Housing Prices, 40+ public notebooks.
- Waves (live demo) - FastAPI heatwave map for Ukraine with deterministic personal-risk scoring and Mistral-generated bilingual action plans under privacy and medical-safety guardrails.
- heat-risk-cuda - custom CUDA C++ kernels compiled at runtime with NVIDIA
cuda.core, verified for exact parity with NumPy and PyTorch references (171 GPU tests) and benchmarked on a Tesla T4: a shared-memory tiled kernel cut end-to-end time 2.2Γ and runs about 5Γ faster than the PyTorch baseline. - SwarmDAQ (live demo) - performance exchange for AI agents built at WeaveHacks 2025: agents bid on tasks, a market maker routes work to the best swarm, and reputation updates after every run, with W&B Weave tracing and Redis memory.
- LargeVCModel - Next.js + PostgreSQL platform for relationship search, company research, investor-fit scoring and secure Google integrations.
- TacticSquare - AI combat simulator for UAV coordination, route planning and attrition forecasts using RL, graph search and Bayesian Monte Carlo; field-tested in Ukraine with 10 divisions and backed by external funding.
- FireImpactology - wildfire analytics pipeline: MODIS/VIIRS/Sentinel-2 + ERA5 + Gaussian plume to map PM2.5/PM10 and health risk.
- Schmidt DSE Climate Pipeline - xarray and Dask workflows for downscaled CMIP6 analysis and National Park Service climate-risk maps at the Eric and Wendy Schmidt Center for Data Science & Environment.
- DEMI - wearable prototype with gas sensors, microcontroller and CV backend that detects TVOC spikes and automatically triggers a deodorizing spray.
42 merged pull requests across 11 established open source projects:
In review at OWASP DependencyCheck, GeoPandas and Newton.
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RISE Global Winner (Schmidt Futures & Rhodes Trust), 2024
Top 100 of 50,000+ from 170+ countries with scholarship and project funding. -
King Abdulaziz and Mawhiba Award, 2024
Top 10 of 1,500 finalists for a combat-operations simulator using Monte Carlo and cellular automata. -
Genius Olympiad Gold (Environmental Science), 2024
"FireImpactology" for wildfire, air quality and health impact modeling. -
INFOMATRIX International Platinum Medal, 2024
1st place among 300 participants for advanced combat simulation with stochastic Lanchester models and RL-aided route planning. -
All-Ukrainian Programming Cup, 3rd place and Jane Street Award, 2025
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NASA Space Apps Challenge, 2nd place in Ukraine, 2023
FireImpactology wildfire and air quality pipeline. -
Venture and deployment
$50,000 raised to scale TacticSquare pilots with 10 divisions and international visibility.
Core domains: CUDA and GPU computing, RL (DQN, PPO), multi-agent systems, Monte Carlo, stochastic processes, graph algorithms, geospatial and remote sensing (GeoPandas, Rasterio, rioxarray, GDAL), time series, simulation.
- Resume: View PDF
- Website: vborysenko.com
- LinkedIn: Volodymyr Borysenko
- Email: volodymyr_borysenko@berkeley.edu





