I am an engineer. I research and identify problems, break them down, and engineer resilient systems.
My primary interests are in large-scale AI systems, full stack software engineering, distributed systems, and agentic AI.
I grew up in Central Asia and started programming in high school, where I first learned to code in the Pascal language, taught in a Soviet-style curriculum.
I work on AI-enabled software at Stella Rising. Previously, I optimized workflows for the New York City Council by engineering AI-powered solutions during a summer internship, and before that I developed automation tools to streamline internal operations at Evergreen Investments.
I currently study Computer Science at the City College of New York, Grove School of Engineering.
I believe that the most efficient way to learn is by building. My projects range from machine learning models to productivity tools and web apps. Some were built to solve a problem in my life, others for the joy of learning. The process of creating and turning ideas into something tangible brings me deep satisfaction.
Real-time stress and anxiety detection system built with MediaPipe computer vision framework and custom-trained machine learning model. It was built during CUNY Tech Prep's hackathon. We won the AI & ML track!
- GithubAn assistant that can answer questions about NYC Admin Code. It scrapes the admin code real-time using SerpAPI and BeautifulSoup and uses Gemini to analyze questions and tailor answers.
- Link & GithubAI-powered tool that analyzes lengthy community board meetings and generates high-quality, five-minute summaries using Whisper AI for transcription and Gemini Flash 2.0 for analysis.
- Link & GithubProductvity app that helps me learn more efficiently with spaced repetition and AI generated quizes, written with Python, Gemini-flash 2.0 and React.
- GithubSocial media for families to share memories, built with React and Supabase.
- GithubApp to help create and organize dev, hackathon teams, built with React and Supabase.
- GithubAn app that fetches and displays random astronomy images from NASA’s Astronomy Picture of the Day (APOD) API, showcasing stunning space photography and related descriptions.
- GithubLinear regression model to predict restaurant profit based on city population built with NumPy.
- Github