15:20:00
Thursday, September 25, 2025

I'm a junior studying CS at the University at Buffalo with a interest in AI and full-stack development. Experienced in building machine learning workflows, multi-agent applications, and mobile apps that combine data and usability. Passionate about building tools that have impact.

Outside of tech, I’m 6’5 — just as good at debugging code as I am at grabbing things off the top shelf. When im not coding, you can usually find me playing volleyball or watching F1 every weekend. I also love music — check out my current favorite song below!

Disillusioned cover
DisillusionedDaniel Caesar

Skills

$ cd skills

Languages

PythonJavaCJavaScriptSwiftGoTypeScript

Technologies

FastAPIDockerOllamaExpoYOLOOpenAI

Tools & Platforms

Visual Studio CodeIntelliJGitEmacsXpraWindowsMacOSLinux (Ubuntu)

Work Experience

$ cd experience

Backend Intern - AI & SaaS

Xircls

June 2025 - Sept 2025
  • Built scalable backend systems with FastAPI and Docker for AI-powered applications
  • Optimized machine learning workflows using LangChain and Ollama for efficient model deployment
  • Developed secure, reliable multi-agent routing systems for complex AI task execution
  • Implemented prompt-based task execution frameworks for enhanced AI interaction capabilities

Technologies Used

PythonFastAPIDockerLangChainOllamaAI/ML

Co-Founder

Rally

Sept 2025 - Present
  • A volleyball app that combines stat tracking and social networking allowing players to record game performance, share highlights, and connect with teammates

Technologies Used

GoSwiftpostgreSQLAWS

Projects

$ cd projects

AirCommand

Computer Vision

A real-time hand gesture control system that enables volume control, play-pause, app switching with 95% gesture recognition accuracy and <200ms response time.

Key Features & Impact

  • Currently developing a real-time hand gesture control system using Python, MediaPipe, and OpenCV with 95% gesture recognition accuracy and <200ms response time
  • Building a modular gesture recognition architecture currently supporting 4+ gesture types (thumbs up/down, fist, palm) using object-oriented design patterns achieving 25-30 FPS real time processing
  • Implementing a computer vision pipeline that processes live video streaming with 21-point hand landmark detection, featuring two-phase execution system (200ms activation delay + 600ms cooldown) to prevent false triggers

Technologies Used

PythonOpenCVMediaPipeComputer VisionReal-time Processing

Sonata - Discord Music Bot

Music Streaming

A Discord music bot that streams high-quality audio, supports playlists and queue management and offers interactive commands for seamless group listening.

Key Features & Impact

  • Built high-quality audio streaming with support for YouTube
  • Implemented playlist management with load functionality and queue persistence
  • Created interactive commands for play, pause, and skip
  • Developed user-friendly interface with real-time status updates
  • Added support for multiple voice channels and server-specific configurations

Technologies Used

PythonDiscord.pyFFmpegYouTube-DLAsyncIO

Get In Touch

$ cd contact_me

Whether you'd like to talk about projects, opportunities, or just chat, don't hesitate to reach out. I enjoy meeting new people and exploring new ideas.



omsethi205@gmail.com