Muhammad

Senior Machine Learning Engineer

Software Engineering Daily • Período integral

Jul 2025 - Present • 10 mos

Contributing to innovative NLP, computer vision, and IoT solutions addressing complex real-world problems. Integrating and optimizing cutting-edge Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to deliver dynamic, context-aware responses. Leading the development of a cashierless retail system by integrating real-time object detection and automation pipelines, significantly enhancing the customer checkout experience. Mentoring and guiding interns in ML, Computer Vision, and NLP — providing hands-on training, structured learning paths, and code reviews to accelerate their growth into production-ready engineers.

Senior Machine Learning Engineer

Self Level • Freelance

Aug 2021 - Present • 4 yrs 9 mos

Built end-to-end ML pipelines covering data preprocessing, model training, and deployment using FastAPI, Flask, and cloud platforms. Developed LLM-powered applications with prompt engineering and Retrieval-Augmented Generation (RAG) using LangChain and HuggingFace. Delivered custom Computer Vision solutions including object detection, image segmentation, and pose estimation using YOLO, Mask R-CNN, and MediaPipe. Created intelligent chatbots and NLP tools using BERT, GPT-3, Rasa, and spaCy for intent classification, summarization, and named entity recognition. Delivered projects including GrantMatch AI (semantic grant matching), VAR Tile (AR floor visualization), Eze Car App (automotive AI assistant), and AllahuAlam (Islamic Q&A platform powered by RAG and open-source LLMs).

Senior Machine Learning Engineer

SESA SYSTEMS • Período integral

Jan 2022 - Jul 2025 • 3 yrs 6 mos

Led cross-functional AI teams delivering high-impact projects on time and within scope. Specialized in real-time image and video processing, building AI systems for live video stream analysis and edge deployments with a focus on low latency and scalability. Expert in object detection, semantic segmentation, and instance segmentation using Detectron2, PaddleSeg, and OpenCV. Applied Large Language Models (LLMs) to solve NLP challenges including document understanding, summarization, and intelligent data mapping. Designed and deployed production-ready ML applications on AWS using FastAPI, integrated with cloud-based workflows for scalable, reliable performance across multiple enterprise clients.