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
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.

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.

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.

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.

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.
Experience
My professional journey in quantitative finance, mathematics, and data science.
Software Engineer, Data Analyst Intern
PAVUS AI
- •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
Software Engineer, Data Analyst Intern
PAVUS AI
- •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
Quantitative Researcher/Developer
SIMO Capital Holding, LLC
- •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
Quantitative Researcher/Developer
SIMO Capital Holding, LLC
- •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
M.S. in Mathematics in Finance
New York University
- •Specialized in financial data science, ML, and computational methods for market analysis
- •Developed quantitative models using stochastic calculus and scientific computing
M.S. in Mathematics in Finance
New York University
- •Specialized in financial data science, ML, and computational methods for market analysis
- •Developed quantitative models using stochastic calculus and scientific computing
B.S. in Mathematics and Data Science
Rose-Hulman Institute of Technology
- •Gained a strong foundation in mathematical modeling, statistics, and software development
- •Developed skills in data analysis, machine learning, and scientific computing
B.S. in Mathematics and Data Science
Rose-Hulman Institute of Technology
- •Gained a strong foundation in mathematical modeling, statistics, and software development
- •Developed skills in data analysis, machine learning, and scientific computing
Get In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!