About
Hey, I'm Abdullah! I'm a builder at heart with a genuine passion for Agentic AI—creating autonomous systems that can reason and act. My expertise lies in System Architecture, DevOps, and Backend Engineering, where I focus on building scalable, reliable foundations for intelligent applications.
Currently, I'm pursuing a dual major in Computer Science and Mathematics at Texas Tech University, set to graduate early by December 2027.
Previously, my journey started as a Software Engineer straight out of high school. I worked, saved, and eventually moved across the world to the US—because I knew that to build the future, I had to be where the cutting-edge innovation happens.
🎓 Education
Texas Tech University
B.S. Computer Science & Mathematics (Dual)
Jan 2025 – Dec 2027
🏆 Achievements
1st Place
JacHacks 2026 (UMich)
• 2026
Champion, AMD AI
HackCU 11
• 2025
Champion
Tidal Hack 2025
• 2025
5th Crew Award
4th KRPC by JAXA
• 2023
Bronze Medalist
World Robot Olympiad
• 2023
Where I've Been
Experience
June 2024 – Dec 2024 - Achieved 99% accurate tool calls, cut audio false positives by 25%, and raised user retention by 68% by architecting a low-latency voice interface with Twilio, OpenAI Realtime APIs, and PyTorch VAD.
- Cut manual data entry by 85% and lifted demo-to-trial conversion by 38% by engineering an automated ETL pipeline with a fine-tuned Vertex AI LLM to extract structured menu data from images and UberEats.
- Scaled backend to 10,000+ daily requests and cut API latency by 150ms by migrating from Firebase Firestore to PostgreSQL and architecting a cloud-native microservices stack on AWS (Lambda, API Gateway, RDS, S3).
- Python
- OpenAI
- Twilio
- PyTorch
- Vertex AI
- PostgreSQL
- AWS Lambda
- API Gateway
Jan 2023 – Oct 2023 - Trained a predictive neural network classifier with TensorFlow to analyze facial features achieving F1 ~92%.
- Implemented optimized edge-computing solution using YOLOv3 and Jetson Nano, reducing inference time by 60% for real-time detection.
- Python
- TensorFlow
- YOLO
- Jetson Nano
- OpenCV
Sep 2022 – Dec 2022 - Developed an efficient wake-word detection ONNX model achieving F1 score of ~99.48% using Openwakeword.
- Python
- ONNX
- Machine Learning
Leadership
Jan 2026 – Present - Trained TTU students to build and deploy production-ready Agentic AI applications by designing curriculum and leading hands-on sessions on generative AI fundamentals and design principles.
- AI
- Agentic AI
- Workshops
- Leadership
Apr 2025 – Jul 2025 - Instructed 23 students over 6 weeks in control flow, data structures, and algorithmic thinking after being selected from thousands of applicants to teach Stanford's CS106A Python curriculum.
- Python
- Teaching
- Data Structures
- Algorithms
Projects
draw2agentFeatured
Reached 1,000+ users with an MCP server that overlays Excalidraw on local dev pages, letting developers annotate UI directly and submit visual context (screenshot + DOM + annotations) to AI agents. Published 4 tools to the MCP Registry, enabling real-time sketch-to-code editing in Cursor, Antigravity, and Claude Desktop — with iPad support for remote drawing and live site updates.
- TypeScript
- MCP
- AI
- Excalidraw
- Node.js
llmmcpFeatured
A powerful Model Context Protocol (MCP) server that provides AI agents with real-time access to the latest LLM documentation (Gemini, Claude, OpenAI), enabling accurate API usage without hallucinations.
- TypeScript
- MCP
- AI
- LLMs
GraphclawFeatured
Won 1st place out of 100+ teams at JacHacks 2026 by building a graph-native multi-agent runtime in Jac where memory lives as a property graph and agents act as walkers routing to specialist sub-agents. Shipped support across 5 channels (Telegram, Discord, Slack, Email, WhatsApp) with a persistent graph memory model featuring session/turn tracking, confidence decay, and runtime skill + MCP server installation.
- Python
- Jac
- Jaseci
- LiteLLM
- Playwright
- MCP
Astrobee ControllerFeatured
Placed in the top 5 crews out of 600+ teams competing aboard the ISS by programming Astrobee Robot 6-DOF movement using Quaternions with the KIBO API to navigate waypoints and avoid keep-out zones. Achieved 97% accuracy detecting 8 tools with a TensorFlow model optimized to TFLite for Astrobee's Snapdragon 820, and used ZXing to decode AR codes for autonomous navigation.
- Java
- Gradle
- TensorFlow
- LiteRT
- ZXing
- Docker
StudySyncFeatured
AI-powered syllabus PDF analysis system using RAG to extract course schedules, assignments, and grades. Built unified dashboard with real-time chat assistant, grade calculator, and task management. 1st Place at Tidal Hack 2025.
- Next.js
- TypeScript
- Flask
- LangChain
- LLMs
StorePal
AI shopping assistant combining voice interaction with ElevenLabs ConvAI, interactive store mapping, and Pinecone vector search for intelligent product location. Built for HackUTA 2025.
- React
- FastAPI
- ElevenLabs
- Pinecone
- WebSocket
AuthLens
Blockchain-powered video authentication platform ensuring integrity of CCTV evidence. Stores cryptographic hashes on Ethereum for tamper-proof verification of video authenticity, timestamps, and ownership.
- Python
- Solidity
- FastAPI
- Ethereum
- React
Roam-E
WRO autonomous robot car with computer vision running on NVIDIA Jetson Nano. Features PID-based wall following, traffic signal detection, and real-time navigation. Bronze Medalist at World Robot Olympiad 2023.
- C++
- Python
- Jetson Nano
- OpenCV
- PID Control
Landsat-Lens
Real-time NASA Landsat satellite tracking and data visualization platform. Visualized satellite paths using NASA Celestrak on interactive Leaflet maps. Fetched and overlayed real-time Landsat reflectance data via USGS M2M API.
- React
- Flask
- Leaflet
- Firebase
- NASA APIs