Building for
reliability.
Welcome to my portfolio. I am a software engineer with a deep background in backend systems and data engineering. Throughout my career, I have focused on building sophisticated data pipelines, automated workflows, and specialized backtesting software for financial markets. Here, you will find a collection of my data-driven projects and technical expertise.
My Approach
From curious tinkering to building production systems.
Applied Mathematics is the foundation of my engineering process. It allows me to look past syntax to the underlying logic and efficiency of a system. I am driven by the challenge of automating human workflows to make them more dependable.
From distributed scrapers to financial data pipelines, I engineer software to be robust and easy to manage. I believe the best automation is the kind that works quietly and reliably in the background.
Logical Core
Math-first mental model for clean algorithms.
Data Obsessed
Finding beauty in unstructured data.
"The most productive hours often happen when the world is quiet."
Technical Ecosystem
Backend & Systems
Python (AsyncIO, Multiprocessing), FastAPI, PostgreSQL, Bash, Linux Environment.
Machine Learning & AI
Predictive analysis, OCR pipelines, LLM agent integration, Data Parsing.
Automation & Scraping
Large scale crawlers, automated ATS pipelines, lead gen normalization engines.
Ready to talk systems?
Currently open to new projects, technical challenges, or discussions about the future of automation.
Get in touch via Telegram