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AI Engineer with 8+ years in Agentic AI and LLM Orchestration
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI Engineer with 8+ years of experience designing and deploying production-grade AI systems across fintech, trading, and enterprise domains. Career spans the full AI evolution from traditional ML and computer vision to cutting-edge Agentic AI, LLM orchestration, and autonomous AI pipelines. Proven track record leading cross-functional teams, driving measurable business value, and publishing graduate research at FAST-NUCES.
FAST-NUCES
M.Sc. Computer Science · AI
January 1, 2022 – January 1, 2024
Ilma University
B.Eng. Software Engineering
January 1, 2016 – January 1, 2020
Kwantx
AI Engineer (Remote)
June 1, 2022 – December 1, 2022
Los Angeles, California, United States
Must Fintech
Project Leader - AI & Data Science
January 1, 2022 – Present
Karachi, Sindh, Pakistan
B.O.S
AI Engineer → Team Lead Level 3
July 1, 2017 – June 1, 2022
Karachi, Sindh, Pakistan
Agentic AI Automation Platform
June 27, 2026 – Present
Multi-agent orchestration with LangChain and AutoGen tool use, task decomposition, autonomous decision-making for fintech workflows.
PPE Detection System
June 27, 2026 – Present
Real-time industrial safety monitoring using YOLOv5 - helmets, goggles, and protective gear detection in production.
Enterprise RAG Chatbot
June 27, 2026 – Present
RAG system with FAISS/ChromaDB vector search integrated with enterprise knowledge bases and custom APIs.
Algorithmic Trading Platform
June 27, 2026 – Present
ML-driven trading signal generation and market analysis pipelines integrated with live market feeds.
Published AI thesis
FAST-NUCES
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project experience across fintech, trading, computer vision, and enterprise MIS systems, coupled with leadership roles and a published thesis, indicates a proactive and innovative mindset. Their experience in both established companies and remote US companies suggests adaptability. The breadth of skills and continuous learning (M.Sc. in AI) align well with a culture that values growth, technical depth, and practical application of AI.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team management, and strategic alignment skills, having led a team of 16 AI engineers and data scientists and collaborated with C-suite. Their experience in establishing MLOps pipelines and CI/CD indicates a robust understanding of operational best practices for AI systems. The ability to mentor engineers and drive business value through AI automation suggests excellent problem-solving and interpersonal skills.