Devops Engineer with 1+ years in AWS & GitHub Actions, specializing in AI/ML infrastructure.
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Assessing your cultural and operational fit
Highly motivated Computer Science student with practical experience as a DevOps Engineer Intern and Python Developer Intern. Skilled in building CI/CD pipelines with GitHub Actions and AWS, developing custom Python modules, and contributing to open-source projects like `skpro` and `prophetverse`. Proficient in Python, cloud platforms (AWS), containerization (Docker, Kubernetes), and AI/ML frameworks (PyTorch, TensorFlow) with a focus on AI-driven video generation and object detection projects.
National University of Computer and Emerging Sciences (FAST)
BS Computer Science · Computer Science
August 1, 2022 – June 1, 2026
Emumba
DevOps Engineer Intern
July 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
AARSOL (Pvt) Ltd.
Python Developer Intern
July 1, 2024 – August 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
AI Video Generation Pipeline
May 1, 2026 – May 1, 2026
Built an end-to-end agentic AI system that autonomously converts a single natural language prompt into a fully composited animated video. Designed a 5-phase multi-agent pipeline using LangGraph for orchestration, MCP tool abstraction layer.
View ProjectLitter Detection: YOLOv8 vs UNet
March 1, 2026 – March 1, 2026
Conducted a systematic comparison of YOLOv8 variants and attention-gated UNet architectures on the TACO dataset for automated litter detection, tackling extreme class imbalance and sub-10px small object detection (cigarette butts). YOLOv8m at 1280px resolution achieved mAP@0.5=25.27% — a 220% improvement over the 640px baseline.
View ProjectSupervised Machine Learning: Regression and Classification
Coursera
June 12, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI video generation and litter detection, alongside professional internships in DevOps and Python development, indicates a broad interest in technology and a willingness to explore different domains. Open-source contributions further highlight a collaborative spirit and engagement with the wider tech community. The target role of DevOps Engineer aligns well with the recent internship experience and listed skills, suggesting a focused career path. The breadth of skills, from AI/ML to core DevOps, shows adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive approach to problem-solving and a focus on efficiency (e.g., eliminating SSH access, reducing idle compute costs). The open-source contributions suggest a collaborative mindset and attention to detail in identifying and fixing bugs. The academic projects demonstrate an ability to conduct systematic comparisons and improve performance metrics, indicating an analytical and results-oriented operational fit.