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I'm _

I enjoy building software, analyzing data and developing quantitative models.

My Skills

Here are some of the technical skills and domains I specialize in.

Programming & Tools

  • GO
  • C++
  • Python
  • R
  • SQL
  • NoSQL
  • MATLAB
  • Git
  • Cloud Computing
  • Docker

Data Science

  • Machine Learning
  • Deep Learning
  • Time Series Analysis
  • Statistical Modeling
  • NLP
  • Feature Engineering
  • Data Visualization

Quantitative Finance

  • Algorithmic Trading
  • Financial Derivatives
  • Risk Management
  • Statistical Arbitrage
  • Options Pricing
  • Backtesting

Mathematics

  • Stochastic Calculus
  • Computational Statistics
  • Linear Algebra
  • Operation Research
  • Optimization

My Projects

Crime Surveillance Microservices System and Real-time Patrol Dashboard

Crime Surveillance Microservices System and Real-time Patrol Dashboard

Engineered a microservices-based crime surveillance platform with real-time patrol tracking and incident dispatching. Leveraged Go, gRPC, Redis, and PostgreSQL for high-frequency updates, low-latency service communication, and persistent crime and user data. Integrated WebSocket streams for patrol movement, JWT-based authentication, and dead-letter logging with MongoDB for compliance auditing.

GogRPCRedisPostgreSQLMicroservicesWebSocketReal-time Systems
Pokemon Distributed Capture System and Real-time Dashboard

Pokemon Distributed Capture System and Real-time Dashboard

Designed and implemented a distributed system simulating a Pokémon tracking network with event-driven architecture, task dispatching, and real-time monitoring. The platform supports multi-user collaboration through a web interface, utilizing Go, RabbitMQ, and WebSockets to coordinate sightings, dispatch capture agents, and handle failure via dead-letter queues.

GoRabbitMQDistributed SystemsWebSocketReal-time Dashboard
Oculus Trading & Backtesting Framework

Oculus Trading & Backtesting Framework

Developed a modular and extensible Python framework for quantitative trading strategy development, backtesting, and research. The system is designed to support strategy optimization and integration with various data sources and execution modules.

PythonQuantitative FinanceBacktestingModular Architecture
Stoculus: Real-Time Financial Data Server

Stoculus: Real-Time Financial Data Server

Developed a Python-based server that provides APIs for accessing real-time and historical financial market data, focusing on equities and options. The system supports data ingestion, processing, and streaming functionalities.

PythonFinancial DataAPIReal-Time Streaming
Telegram AI Summarizer Bot with Yahoo Finance Stock Charts

Telegram AI Summarizer Bot with Yahoo Finance Stock Charts

Developed a Go-based Telegram bot that integrates AI-powered text summarization using OpenAI and generates customized real-time Yahoo Finance stock charts. Built with SQLite for persistent storage, the system is containerized with Docker and deployed behind a Caddy reverse proxy for automated SSL and secure bot communication via HTTPS webhooks.

GoSQLiteTelegram BotAI SummarizationYahoo FinanceDockerCaddy

Experience

My professional journey in quantitative finance, mathematics, and data science.

Software Engineer, Data Analyst Intern

PAVUS AI

Jan 2025 - Apr 2025
  • Designed and automated data visualization and analysis pipelines for product cost analysis, improving efficiency by 5x
  • Applied LLM techniques to process, classify and organize product data, enhancing data quality
PythonNLPData VisualizationMachine LearningData Analysis

Quantitative Researcher/Developer

SIMO Capital Holding, LLC

Nov 2023 - Aug 2024
  • Developed ML models using KL divergence and time-series analysis for multi-asset derivative trading predictions
  • Built high-frequency trading platform with optimized volatility calculations and real-time data pipelines
PythonTime Series AnalysisAlgorithmic TradingOptions PricingHigh-Frequency Data

M.S. in Mathematics in Finance

New York University

Sep 2023 - Dec 2024
  • Specialized in financial data science, ML, and computational methods for market analysis
  • Developed quantitative models using stochastic calculus and scientific computing
Financial Data ScienceMachine LearningStochastic CalculusTime Series AnalysisScientific Computing

B.S. in Mathematics and Data Science

Rose-Hulman Institute of Technology

Sep 2018 - May 2023
  • Gained a strong foundation in mathematical modeling, statistics, and software development
  • Developed skills in data analysis, machine learning, and scientific computing
MathematicsData ScienceSoftware DevelopmentStatistics

Get In Touch

Have a project in mind or want to discuss potential opportunities? Feel free to reach out!

Contact Information

Location

New York, NY

Social Media

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