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AI Engineer with 2+ years in agentic AI workflows, RAG, LLM integration, and computer vision on Azur
AI/ML Engineer with 2+ years of experience designing and deploying production-grade intelligent systems on Azure AI and Oracle Cloud platforms. Specialized in agentic AI workflows, Retrieval-Augmented Generation (RAG), LLM integration, and computer vision - with a track record of shipping at enterprise scale. Delivered 65+ Oracle Fusion AI Agents, an org-wide agentic PR reviewer, and end-to-end CV pipelines across autonomous systems and medical diagnostics. Proficient in LangChain, LangGraph, CrewAI, PyTorch, and TensorFlow, with experience across the full MLOps lifecycle from prototyping to cloud deployment.
NED University of Engineering and Technology
B.E. · Computer Systems Engineering
August 1, 2022 – June 30, 2026
Al - Mubarak National School
G.C.E Advanced Level · Science
N/A – May 31, 2021
10Pearls
Associate Software Consultant - AI/ML
December 1, 2024 – April 1, 2026
Karachi, Sindh, Pakistan
Smart City Lab, NCAI-NEDUET
AI Intern - Computer Vision
September 1, 2023 – July 1, 2024
Karachi, Sindh, Pakistan
VQA Pipeline for Diabetic Macular Edema
January 1, 2025 – January 1, 2026
Led development of a VLM-based VQA + Multimodal RAG diagnostic system delivering AI-powered second opinions for ophthalmologists, targeting specialist access gaps for millions of patients.
E-ZPR: AI Pull Request Reviewer
December 1, 2024 – April 1, 2026
Designed and shipped a production-grade agentic PR review tool used org-wide at 10Pearls across all VCS platforms, reducing review turnaround time by 50%.
Oracle Fusion AI Agent Studio Certified Foundations Associate
Oracle
January 1, 2026 – Present
Oracle Cloud Infrastructure 2025 AI Foundations Associate
Oracle
January 1, 2026 – Present
AI Evaluation Specialist
micro1
January 1, 2026 – Present
Azure AI Fundamentals
Microsoft via 10Pearls University
January 1, 2025 – Present
Advanced Computer Vision in TensorFlow
DeepLearning.AI
January 1, 2024 – Present
IBM Python and Data Engineering Certification
IBM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience at 10Pearls and Smart City Lab, NCAI-NEDUET, shows exposure to both corporate and research environments. The diversity of projects, from medical diagnostics to developer tools and data analysis, suggests adaptability and a broad interest in applying AI across different domains. The certifications indicate a proactive approach to continuous learning and skill development, which aligns well with a culture of innovation and growth. The candidate's work on an org-wide tool (E-ZPR) demonstrates an ability to contribute to internal tooling and improve team efficiency, indicating a collaborative and supportive cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions highlight leadership in development and architecture, suggesting strong problem-solving and ownership. The successful org-wide adoption of tools like E-ZPR indicates an ability to deliver impactful solutions and potentially collaborate effectively with various engineering teams. The focus on replacing manual processes with automated AI solutions points to a results-oriented and efficiency-driven mindset.