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AI Engineer with 1+ years in Full-Stack Development and MLOps.
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As an aspiring AI Engineer, I bring 1.0 years of experience across software engineering and AI internships. My expertise lies in building scalable backend services, developing full-stack applications with modern frameworks like React and Node.js, and integrating advanced AI/ML capabilities, including LLMs and vector search. I am proficient in Python and JavaScript, with hands-on experience in cloud and DevOps tools like AWS, Docker, and Kubernetes, aiming to drive innovative solutions in AI-driven platforms.
FAST - National University of Computer and Emerging Sciences
Bachelor's in Computer Science · Computer Science
August 1, 2022 – June 30, 2026
xFlow Research (Pvt.) Ltd
Software Engineer Apprentice
August 1, 2025 – April 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Nexium
Full Stack AI Intern
June 1, 2025 – August 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
FYP: Fasal Guard
August 1, 2025 – Present
Built a MERN-based platform integrating satellite imagery, climate, and environmental data to monitor crop health and predict yield risks, enhancing agricultural decision-making. Engineered secure JWT-based REST APIs and interactive dashboards. Set up data pipelines with Python and Pandas to deliver early-warning insights.
Agentic Montage Studio
January 1, 2024 – December 31, 2024
Constructed a multi-agent AI pipeline that generates story, plans scenes, produces media, and composes final videos with lip-sync and subtitles, reducing video creation time from 2 hours to under 4 minutes. Merged LLM and media tools (Hugging Face + TTS) with Flask services to automate end-to-end video generation, cutting manual intervention by 90% while handling 1,000+ concurrent requests.
Predictive AI Platform for Cognitive Decline
January 1, 2024 – December 31, 2024
Developed a predictive classification model to distinguish Normal Ageing from Alzheimer's Disease using 19+ clinical biomarkers including MMSE scores, episodic memory deficits, and lifestyle factors. Architected an Adaptive LLM-Driven Assessment Engine that dynamically scales memory and functional test complexity in real time based on patient performance, education level, and occupation.
Waste Object Detection & Segmentation
January 1, 2024 – December 31, 2024
Trained YOLOv8-n on 5 TACO waste classes (class-imbalanced dataset), achieving mAP@50 21.0% with real-time inference. Analysis revealed class imbalance as the primary bottleneck, actionable insights for future data collection.
Movie Microservices with DevOps Automation
January 1, 2024 – December 31, 2024
Designed a scalable microservices architecture for movie listings, showtimes, bookings, and user management using REST APIs, containerized with Docker and orchestrated on Kubernetes. Automated GitOps-driven CI/CD pipelines using Argo CD, and reduced deployment time by 50% with infrastructure-as-code.
Generative AI with Large Language Models
DeepLearning.AI
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from multi-agent AI pipelines to crop health monitoring and cognitive decline prediction, indicates a broad interest and adaptability. The academic and personal projects align well with an AI Engineer role, showcasing initiative and a passion for applying AI in various domains. The experience in both full-stack and backend roles, combined with DevOps exposure, suggests a versatile individual who can contribute across different stages of product development. The Dean's List recognition also points to a strong work ethic.
Soft Skills & Operational Fit
The candidate's resume highlights 'Team Leadership, Problem-Solving, Collaboration' as soft skills. Project descriptions indicate an ability to work in teams and deliver impactful solutions, suggesting a good operational fit for collaborative environments. The experience at xFlow Research involved working closely within a team at a Silicon Valley-based company, further supporting this.