Muhammad A.

🚀 AI/ML Engineer | Generative AI, LLM Apps, RAG, Agentic AI, Computer Vision & MLOps I help startups, SaaS teams, and businesses build production-ready AI systems - from intelligent chatbots and RAG-based knowledge assistants to document automation, computer vision pipelines, and scalable cloud deployments. With 3+ years of experience in AI/ML, software engineering, data engineering, and cloud deployment, I focus on building solutions that are not just demos, but reliable systems that can be integrated into real business workflows. 🎨 Generative AI Excellence My core passion lies in building creative, high-performance Generative AI systems. I work hands-on with: - 🌀 Advanced techniques like SDXL-TURBO, LCM Diffusion, and Text2Video for image and video generation. - 🧠 Tools such as ComfyUI, Automatic1111, and HuggingFace Diffusers to craft dynamic, generative applications. - ⚡ LLMs & VLMs including CogVLM and Qwen, optimized using TensorRT-LLM for fast, GPU-efficient inference. - 🧩 LoRA (Low-Rank Adaptation) fine-tuning for domain-specific tasks with minimal compute overhead. - 🔁 Experience with Flux models for advanced representation learning and creative experimentation. - 🧬 Tools like InstantID and Inpaint Adapter for artistic applications—face swapping, image restoration, and creative edits. - 🛰️ MLOps on RunPod and AWS: Serverless, GPU-powered model deployments with auto-scaling and cost efficiency using tools like RunPod templates, AWS Lambda, Bedrock, and SageMaker endpoints. 💬 LLMs, Chat Agents & Automation I'm deeply experienced in building intelligent agent-based systems and automation: - 🧠 Designing and deploying chat agents using LangChain, LLM orchestration, and memory-driven pipelines. - 🤖 Architecting multi-agent workflows for collaboration, decision-making, and task planning. - 🔄 Integrating tools like n8n and Airflow to automate agent workflows and backend processes. - 📡 Deploying LLM-powered APIs that integrate seamlessly with applications for human-like interactions. 🤖 Machine Learning & AI With a robust background in AI, I build and refine systems that drive real-world impact: - 📈 Fine-tuning custom models for vision and language tasks. - 🧪 Building end-to-end ML pipelines: from data preprocessing to production APIs. - 🧠 Proficient in PyTorch and TensorFlow for both research and scalable ML solutions. 🌐 Web Development I engineer full-stack applications that are smart, responsive, and ready to scale: - ⚙ FastAPI, Django and flask for blazing-fast APIs and seamless AI integration. - 🌿 Full-stack development with the MERN stack (MongoDB, Express.js, React, Node.js). - 🧩 Focus on user experience, frontend performance, and backend efficiency. ☁ Cloud & Azure Solutions I design and deploy intelligent systems on the cloud with a focus on: - 🚀 Deploying models on Microsoft Azure with scalability and high availability. - 🧰 Managing infrastructure with Kubernetes, Docker, and Azure ML pipelines. - 🌐 Extensive experience also includes Google Cloud Platform for scalable model hosting. 🔧 DevOps & MLOps I'm committed to automation, reliability, and scale through modern DevOps practices: - 🔄 Designing CI/CD pipelines for rapid development and deployment cycles. - 🧪 Automating testing, versioning, and release management across platforms. - 🏗 Building modular, microservices architectures that support resilience and easy scaling.