Image Generation for Social Media: A Generative Model Approach
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Summary
Built a Stable Diffusion-based content generation system that transforms user prompts into platform-optimized marketing visuals for Facebook, Instagram, and LinkedIn.
Highly accomplished AI/ML Engineer with 3.5+ years of end-to-end experience in developing and deploying generative AI systems, LLM agents, and computer vision pipelines. Proven expertise in full-stack engineering, prompt engineering, and orchestrating multi-agent LLM workflows, consistently delivering production integrations that enhance operational efficiency and drive product metric improvements.
AI and Data Science Trainer
Karachi, Sindh, Pakistan
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Summary
Instructed over 100 students in AI specialization, covering machine learning, deep learning, data analytics, and real-world project development.
Highlights
Trained 100+ students in AI specialization, covering machine learning, deep learning, data analytics, and real-world project development.
Full Stack AI Engineer
Remote, United Kingdom, United Kingdom of Great Britain and Northern Ireland
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Summary
Led the development and deployment of generative AI systems, computer vision pipelines, and automation tools to enhance personalization and operational efficiency for a remote UK-based team.
Highlights
Built a health-based meal planner using 200K+ recipes, an LLM-powered chatbot, and fitness recommendations, boosting personalization accuracy by 80%.
Trained YOLO-based logo detection and OCR pipelines for mobile apps, cutting detection latency by 40% and automating document processing.
Developed internal n8n automation tools (Shopify-Notion chatbot, resource tracker), reducing manual operations time by 50% and improving workflow efficiency.
Software Engineer
Remote, Global, ZZ
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Summary
Led a junior developer team in delivering end-to-end web and backend solutions, enhancing client communication and system reliability.
Highlights
Led a junior developer team in delivering end-to-end web and backend solutions, overseeing design in Figma, code reviews, and deployment pipelines.
Developed and integrated chatbots using Google Dialogflow and Alexa Skills Kit, automating client communication and support workflows.
Built and deployed scalable backend systems (FastAPI / Node.js), improving service reliability and reducing development turnaround time by 30%.
Software Engineer / STEM Curriculum Developer
Karachi, Sindh, Pakistan
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Summary
Developed and deployed an LMS for 12 campuses and designed STEM curriculum, enhancing training efficiency and promoting experiential learning.
Highlights
Developed and deployed an LMS for 12 campuses nationwide, including a custom quiz system, standardizing learning management and improving training efficiency by 40%.
Researched and built STEM-based curriculum (KG-12), designing hands-on projects and books that promoted experiential learning across disciplines.
Collaborated with the mechatronics team to build IoT-enabled web and mobile apps for robotic arm and smart office automation, enhancing system control and real-time monitoring.
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Master's of Science
Data Science
Grade: CGPA: 3.43
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Bachelor's of Science
Computer Science
Grade: CGPA: 3.65
Issued By
Udemy
Issued By
Deeplearning.ai
Issued By
Deeplearning.ai
Issued By
Data Camp
LLMS (GPT/Claude/Gemini), LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch, scikit-learn, Prompt Engineering.
n8n, Make, Zapier, Twilio, API Integration, Microservices, Crew AI, AutoGPT.
YOLO, OpenCV, Tesseract, EasyOCR, PaddleOCR, Mistral OCR.
Python, JavaScript, Node.js, FastAPI, Flask, SQL, MongoDB, PostgreSQL, Git, GitHub.
Pinecone, FIASS, Retrieval-augmented generation (RAG).
Lovable, Cursor, Replit, Github Copilot.
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Summary
Built a Stable Diffusion-based content generation system that transforms user prompts into platform-optimized marketing visuals for Facebook, Instagram, and LinkedIn.
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Summary
Engineered a multi-agent LLM system powering a personalized meal and rule-based fitness planner using a 200K+ recipe dataset (MongoDB).
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Summary
Developed a YOLO-based computer vision pipeline with automated data scraping, annotation, and model training for real-time brand recognition and offer recommendations.
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Summary
Built an AI-driven virtual fitting solution using pose estimation and body segmentation, allowing users to preview outfits on their images.
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Summary
Engineered an end-to-end automation workflow using n8n to sync Shopify store data with Notion via APIs, enabling real-time access and intelligent query handling through a custom LLM-powered chat interface.
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Summary
Engineered an AI-powered customer engagement workflow leveraging VAPI, Twilio APIs, and Airtable, automating inbound call routing, feedback capture, and real-time Airtable updates.
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Summary
Collaborated with a Chinese research group to develop a TensorFlow-based deep learning model for detecting weed growth, fire spread, and water redundancy using multispectral satellite imagery from Google Earth Engine.
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Summary
Implemented a Deep Summarization Network (DSN) leveraging LSTM and GRU architectures to automatically extract keyframes and eliminate redundancy from long-form videos using the SumMe and TVSum datasets.