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AI Engineer with 7+ years in LLM-based extraction & Cloud Systems
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Assessing your cultural and operational fit
Senior AI Engineer with 7+ years of experience building scalable AI, data, and cloud systems. Hands-on experience with LLM-based extraction, RAG-style retrieval, prompt engineering, Azure AI services, and production automation. Strong in Python, SQL, cloud architecture, and end-to-end AI system delivery, with experience mentoring engineers and designing reliable, scalable workflows.
COMSATS University Islamabad
Bachelor of Science · Computer Science
August 1, 2014 – June 30, 2019
AI Rafay Consulting
Senior AI Engineer
September 1, 2025 – Present
Karachi, Sindh, Pakistan
dinCloud
Python/AI Engineer
July 1, 2021 – August 1, 2025
Karachi, Sindh, Pakistan
Web Projects Sendirian Berhad (SDN BHD)
Full Stack Developer
March 1, 2020 – March 1, 2021
Islamabad, Islamabad Capital Territory, Pakistan
Vizz Web Solutions
Data Analyst
January 1, 2019 – February 1, 2020
Islamabad, Islamabad Capital Territory, Pakistan
Document Chatbot with Azure AI Search
June 17, 2026 – Present
indexed Blob Storage documents for retrieval-based Q&A.
Lease Abstraction AI Platform
June 17, 2026 – Present
OCR + LLM extraction + metadata mapping + Azure Blob/Cosmos DB.
Voice Assistant Prototype
June 17, 2026 – Present
Whisper STT + GPT-4 for natural language interaction.
Microsoft Certified: Azure AI Engineer Associate (AI-900)
Microsoft
November 1, 2025 – Present
CS50's Introduction to Artificial Intelligence with Python
Harvard University (edX)
April 1, 2022 – Present
AI Fundamentals Certification
DataCamp
December 1, 2021 – Present
Python Code Challenges
LinkedIn Learning
June 1, 2020 – Present
AI For Everyone
deeplearning.ai | Coursera
July 1, 2019 – Present
Coronavirus - What you need to know
Alison
March 1, 2019 – Present
Using Python to Access Web Data
University of Michigan | Coursera
December 1, 2018 – Present
Learning How to Learn
McMaster University | Coursera
November 1, 2018 – Present
The Missing Semester
Zeeshan Usmani | AI Nafi
February 1, 2018 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from lease abstraction to voice assistants and document chatbots, demonstrates adaptability and a broad interest in AI applications. The experience across different companies (AI Rafay Consulting, dinCloud, Web Projects, Vizz Web Solutions) and roles (Data Analyst, Full Stack Developer, Python/AI Engineer, Senior AI Engineer) indicates a willingness to learn and grow. The certifications further support a proactive learning mindset. The focus on building scalable and reliable AI systems aligns with best practices in a professional engineering culture.
Soft Skills & Operational Fit
The candidate's resume highlights experience in agile environments, contributing to standups and sprint planning, indicating good operational fit. The description of improving reliability with error handling and designing data validation/monitoring pipelines suggests a focus on robust and maintainable systems. The mention of mentoring engineers in the professional summary also points to leadership potential and collaborative skills.