Syed Muhammad Abbas

PROFESSIONAL PROFILE Software Engineer specializing in Backend Systems and Applied AI. Experienced in building scalable REST APIs (FastAPI) and real-time Computer Vision pipelines (YOLOv11). Strong foundation in DevOps (Docker, Linux) and Operational Security. Proven ability to deliver end-to-end solutions, from training custom AI models to deploying production-ready microservices. EDUCATION Bachelor of Science - BS, Computer Science School of Electrical Engineering and Computer Science , Islamabad , 3.33 (3.65 in last 2 years) (2026) INTERNSHIP EXPERIENCE Japan Science and Technology Agency 14-Jul-2019 - 20-Jul-2019 Selected as one of the top scholars globally for the Sakura Science Program. Engaged in advanced robotics and physics research workshops at Tokyo Institute of Technology and KEK, gaining exposure to international engineering standards and research-to- production workflows. Horizon Tech Services 10-Jun-2025 - 08-Aug-2025 Engineered robust REST APIs using FastAPI for a collision detection system, enabling reliable real-time performance under production-like load with sub-100ms latency. Optimized inference pipelines for on-device AI using MediaPipe and TFLite, enabling real-time gesture recognition on Android edge devices without cloud dependency. FINAL YEAR PROJECT SecureVision: Agentic AI for Dynamic Public Threat Prediction Architecting an end-to-end surveillance pipeline integrating YOLOv11, BoTSORT, and Pose Estimation to detect threats (weapons, fights) in real-time. Engineering a custom fusion layer where visual detections trigger Small Language Model (SLM) analysis for context verification, reducing false positives by ~40%. Aiming to optimize inference to process at 25+ FPS on consumer hardware by leveraging multi-threading and Docker containerization. TECHNICAL EXPERTISE Backend & AI Engineering FastAPI, Flask, PyTorch, YOLOv11, OpenCV, Hugging Face, LangChain, Microservices Architecture DevOps & Cloud Infrastructure Docker, Container Security, Linux System Administration, AWS SageMaker (Hands-on), CI/CD Pipelines Programming Languages Python (Advanced), C++, TypeScript, SQL (PostgreSQL), Bash/Shell Scripting, Java Frontend & Tools Next.js, React, Tailwind CSS, Git, Postman, WebAuthn, Docker Sandboxing

Software Engineer specializing in Backend Systems and Applied AI. Experienced in building scalable REST APIs (FastAPI) and real-time Computer Vision pipelines (YOLOv11). Strong foundation in DevOps (Docker, Linux) and Operational Security. Proven ability to deliver end-to-end solutions, from training custom AI models to deploying production-ready microservices.