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AI Engineer with 5+ years in Machine Learning & Generative AI
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AI Engineer with expertise in machine learning, deep learning, computer vision, natural language processing (NLP), generative AI, and AI automation. Proficient in developing scalable AI systems, fine-tuning large language models (LLMs), and deploying models to production. Skilled in data preprocessing, model evaluation, and optimizing AI solutions for real-world applications.
National University Of Technology (NUTECH)
MS Artificial Intelligence · Artificial Intelligence
August 1, 2024 – June 30, 2026
National University Of Computer And Emerging Sciences (FAST)
BS Computer Science · Computer Science
August 1, 2019 – June 30, 2023
Peersol Technologies
AI Engineer
July 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Droppgroup
AI Engineer
November 1, 2024 – June 1, 2025
Dubai, Dubai, United Arab Emirates
Vision X
AI/ML Engineer
November 1, 2023 – November 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Self-Employed
Freelance AI Trainer
March 1, 2023 – September 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Multi-Agent One-Stop App
June 1, 2026 – Present
Developed a multi-agent system utilizing machine learning algorithms, deep learning, and large language models (LLMs) to automate business workflows with intelligent orchestration and inter-agent collaboration. Supports seamless chat/voice interactions and preserves conversation history for contextual continuity. Outcomes: Agents adapt dynamically to scenarios with multi-modal capabilities for inputs/outputs, enhancing automation and user productivity by 40%.
AI-Based Course Generation
June 1, 2026 – Present
Implemented end-to-end pipeline for parsing unstructured data from diverse sources (PDFs, web pages, documents) and structured processing to feed multimodal LLMs. Utilized advanced prompting and multimodal capabilities to generate precisely formatted JSON structures optimized for automated slide generation systems. Outcomes: Achieved 99% accuracy in producing consistently structured JSON outputs matching defined schemas, significantly streamlining educational content creation workflows.
Face Detection Attendance and Employee Monitoring System
June 1, 2026 – Present
Created real-time system for attendance tracking and behavior analytics with face detection using computer vision, YOLO models. Deployed on local premises for security, including data analysis, big data handling, and statistics. Outcomes: Enabled smart check-in/out and office analytics like kitchen occupancy/coffee consumption, boosting efficiency by 35%.
Medical Follow-up Voice Bot
June 1, 2026 – Present
Developed automated voice system for patient follow-ups with friendly dialogues on conditions using AI, machine learning, and deep learning. Flags cases needing attention with data preprocessing, analysis, and cloud integration. Outcomes: Achieved successful auto-calls for inquiries/flagging, enhancing follow-up processes and patient engagement.
Upwork Job Scraping & AI Proposal Automation
June 1, 2026 – Present
Built an end-to-end n8n workflow to scrape latest Upwork job postings, filter relevant opportunities using AI, and automatically craft personalized cover letters/proposals. Integrated Slack notifications to deliver structured AI-generated proposals, insights, and job summaries directly to the manager and BD team. Outcomes: Fully automated Upwork job hunting and proposal process, reducing manual time by 90% and enabling scalable opportunity tracking.
Booking Multi-Agent System
June 1, 2026 – Present
Built a smart booking framework with intent recognition using NLP, machine learning, and orchestration for reservations across services. Features chatbot layer and backend integrations with APIs and databases. Outcomes: Streamlined bookings for events/airlines/hotels/restaurants/cars with payment/database support, improving user satisfaction and operational efficiency.
Digital Human Generator
June 1, 2026 – Present
Designed a pipeline for realistic digital humans focusing on voice cloning and lip-sync using generative AI, deep learning models, and neural networks. Optimized for natural interactions and performance with model fine-tuning and deployment. Outcomes: Generated high-quality lip-synced videos from text/images with low-latency synchronous outputs for virtual assistants/content.
AZ-900: Microsoft Azure Fundamentals
Microsoft
June 1, 2026 – Present
Oracle AI Foundations Associate
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from business automation to digital human generation and medical voice bots, indicates adaptability and a broad interest in applying AI across various domains. Their experience in both full-time roles and freelance training suggests a blend of structured team collaboration and independent initiative. The pursuit of an MS in AI while working full-time demonstrates a commitment to continuous learning and growth, which aligns well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, evidenced by their ability to develop complex multi-agent systems and automate workflows. Their experience in leading AI teams and collaborating with clients suggests good teamwork and communication skills. The freelance AI Trainer role indicates a proactive and self-driven attitude, as well as an ability to explain complex technical concepts.