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AI Engineer with 1+ years in AI/ML, DevOps & Cloud.
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Assessing your cultural and operational fit
Highly motivated Computer Science student with a strong foundation in Artificial Intelligence, Machine Learning, and DevOps. Proven ability to contribute to research, develop innovative projects like a medical RAG pipeline and GPU-accelerated classifiers, and mentor peers. Actively pursuing AWS certifications to complement hands-on experience in cloud and MLOps practices.
National University of Computer and Emerging Sciences (FAST-NUCES)
Bachelor of Science · Computer Science
August 1, 2022 – Present
Protect Lab, FAST-NUCES
Research / Technical Intern
June 1, 2025 – August 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
M-Labs
Software / Technical Intern
June 1, 2024 – August 31, 2024
Islamabad, Islamabad Capital Territory, Pakistan
FAST-NUCES
Lab Demonstrator & Teaching Assistant
August 1, 2023 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Medical Student Helper Chatbot
June 1, 2026 – Present
Engineered a medical RAG pipeline using MedGemma-4B and BioMistral-7B to assist students with clinical reasoning and academic queries; Implemented QLORA fine-tuning and 4-bit quantization to optimize model training on limited GPU resources; Developed RAG² (Rationale-Guided RAG) with Meditron-7B, utilizing perplexity-based filtering to select high-quality PubMed evidence; Designed a Causal-Aware Retriever and Chain-of-Thought (CoT) prompting pipeline to reduce model hallucinations
GPU-Accelerated MNIST Classifier & Parallel FFT
June 1, 2026 – Present
Implemented and trained a neural network for handwritten digit classification on the MNIST dataset, achieving 95%+ accuracy using CUDA-accelerated training; Parallelized the Butterfly (FFT) algorithm using OpenACC and CUDA, benchmarking speedup across varying thread configurations and data sizes; Compared serial vs. parallel execution profiles to analyze the performance impact of GPU offloading on compute-intensive workloads
Netflix Clone - DevSecOps Pipeline
June 1, 2026 – Present
Deployed a Netflix clone application on AWS EC2 using a full DevSecOps pipeline integrating Jenkins for CI/CD automation; Integrated SonarQube for static code analysis and Trivy for container image vulnerability scanning at each build stage; Configured Prometheus and Grafana dashboards for real-time application and infrastructure monitoring; Orchestrated containerized deployment on a Kubernetes cluster using ArgoCD for GitOps-based continuous delivery
AWS Cloud Practitioner Prep Guide
Amazon Web Services
June 1, 2026 – Present
AWS Solutions Architect Associate
Amazon Web Services
June 1, 2026 – Present
AWS Cloud Foundations
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI/ML research and practical application. The personal project in DevSecOps shows initiative and a broad technical curiosity beyond core AI. The diverse project types (academic research, game development, infrastructure) indicate adaptability and a willingness to explore different domains, which aligns well with dynamic, innovation-driven environments. The ongoing AWS certifications also highlight a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's experience as a Lab Demonstrator and Teaching Assistant suggests strong communication and mentoring skills. Participation in a Game Jam indicates an ability to work under pressure and deliver within strict deadlines. The project descriptions show a structured approach to problem-solving and an understanding of system architecture.