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Nikita Baklazhenko

Nikita Baklazhenko

Machine Learning Engineer

Building production ML systems at Novartis

Schelling Segregation — grid simulation with agent strategies
SIR Disease Spread — network graph epidemiological model
Cournot Oligopoly — strategy rankings and market charts

Simulation engine comparing rule-based, RL, and LLM-powered agents across 15+ game-theoretic scenarios.

  • 15+ game-theoretic scenarios built in
  • Open-source on PyPI (pip install policy-arena)
  • Live-streamed simulations with real-time D3.js visualization
  • Per-agent analytics and multi-run statistical comparisons
PythonFastAPIWebSocketsReactD3.jsPyPIOpenAI APIAnthropic APIGoogle GeminiDeepSeekOllamaDockerGitHub Actions
Florence destination overview — weather, map, and city description
Day-by-day activities with photos, categories, and interactive map
Restaurant recommendations — curated dining with map pins

10+ parallelized agents with MCP tool integration generating day-by-day itineraries with activities, photos, and maps.

  • 10+ parallelized AI agents with domain specialization
  • MCP tool integration for external service calls
  • Conversational chat interface with streaming responses
  • Day-by-day itineraries with activities, photos, and maps
PythonFastAPIGCP Cloud RunReactTypeScriptLangfusePydanticMCP ProtocolOpenAI APIGoogle Maps APIDocker
Paris — Saint-Germain-des-Prés neighborhood scores with interactive map
Filterable scoring criteria — safety, transport, culture, parks, and more
Short-term stay mode — neighborhood ratings and monthly rent averages

Scores neighborhoods on safety, affordability, commute, and lifestyle worldwide with interactive maps.

  • Worldwide neighborhood scoring across 100+ cities
  • Interactive maps with filterable overlays
  • Multi-dimensional scoring: safety, affordability, commute, lifestyle
  • Long-term vs. short-term rental modes
PythonFastAPIGCP Cloud RunReactTypeScriptLangfusePydanticPostgreSQLGoogle Maps APISEODocker
0+
Years in ML
0B+
Forecasted
0+
E2E Projects
POC → Prod
Automated Forecasting
E2E ML Stack
Data → Models → APIs → Cloud → BI

Career Journey

2017
2018
2019
2019
2020
2021
2022
2023
2023
TorontoSt. PetersburgAmsterdamLondonBarcelona

Global Footprint

0

Countries visited

0

Countries lived in

0

Continents

0+

Years abroad

Road to 100 countries56/100

44 countries to go

By continent
Europe 27
Asia 16
Africa 7
N. America 3
S. America 2
Oceania 0
Languages
RussianNative
EnglishFluent
SpanishIntermediate

Skill Profile

GenAI & LLMsML & Data SciMLOps & CloudData & BackendFrontend & VizEconomics

Top Skills

Tech Breakdown

ML Workflow

Skill Cloud

Experience

Education