Humayun I.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Senior ML Engineer. Specializing in; Computer Vision | Medical Image Analysis | LLMs | NLP | Generative AI | Chatbot Development | Data Extraction, NER. Humayun Irshad is a Machine Learning and Computer Vision Leader, specialized in deep learning and active learning with domain expertise and a proven track record of designing, delivering and supporting innovative AI applications across multiple domains serving customers around the world. He is experienced in delivering Computer Vision and Data Science products and APIs for use cases including image recognition and classification, object detection and segmentation in 2D and 3D images/videos - application ranging from climate, satellite, medical, facial identity, self-driving vehicles, retail and fashion. With over a decade of experience in Machine Learning and Computer Vision practices, applying and training deep learning algorithms (CNN, RCNN, LSTM, Transformers), image processing methods, feature extraction techniques, pattern recognition, feature selection/regularization, boosting methodologies, generalized regression models, data visualization, analytic approximation, enumerative and graphical combinatorics, advanced implementations of operator algebras, probability theory, and statistics. Awards 🥇 Susan G. Komen Postdoctoral Fellowship 2017 🥇 Winner of ISBI Challenge on Breast Cancer Detection (Camelyon 2016) 🥇 Runner Up of ICPR MITOS Contest 2012 🥇 Winner of World Summit Youth 2009 🥇 Superwisdom Certified Core Skills & Expertise ✅ Computer Vision Applications ✅ Regulatory-Approved Medical AI ✅ LLM & Generative AI Proficiency ✅ Prompt Engineering & Model Fine-Tuning ✅ Production-Grade AI Deployment ✅ Speech Recognition & Audio Processing ✅ Generative AI Across Modalities ✅ RAG Chatbots & Intelligent Retrieval ✅ Cloud Platforms & MLOps Workflows Project Experience Highlights: Robotics Process Automation for Software Development (RPAD): - Developed and led the creation of a robust AI/ML infrastructure that drives the logic behind Record/Replay and Accessibility testing. - This infrastructure involves capturing AI bot interactions with various devices, storing and processing this data for AI models, and integrating a Data Labeling system. - It includes a dedicated model training environment using SageMaker and a real-time model serving system. Contributed to product development in the field of Robotics Process Automation for Software Development (RPAD). AI-Based Breast Cancer Diagnosis System: - Spearheaded the conceptualization and development of an AI-based Breast Cancer diagnosis system. - Managed a cross-functional team of 10 ML/CV engineers across two locations in the USA and China to bring this clinical diagnosis system to life. CAD System for Breast Screening: - Designed a CAD (Computer-Aided Detection) System for Breast screening. - This system includes the processing of Mammography, Tomosynthesis, and MRI images, encompassing tasks such as image enhancement, standardization, lump/tumor/mass detection, segmentation, classification, breast tissue characterization, and the computation of BIRAD Scores. - Notably, this system is patented and has FDA applications. Wildfire Situational Awareness Intelligence Platform: - Conceived and architected a next-generation wildfire situational awareness intelligence platform. - This platform aids fire authorities, utilities, and community organizations in proactively responding to wildfires before they become destructive. - Developed a Deep Learning-based early fire detection system by amalgamating data from various sources, including proprietary mountaintop cameras and geostationary satellites. - Orchestrated the deployment of data ingestion pipelines to facilitate continuous monitoring via images from cameras and satellites. AI-Based Workflow Enhancement for Volume Photography: - Currently engaged in the development and implementation of AI-based products aimed at optimizing workflows in volume photography. - These enhancements span various functions, including image culling, spill correction, color correction, cropping and straightening, teeth whitening, and braces removal. - Additionally, advanced algorithms have been crafted for knockout, retouching, and photo selection, particularly for yearbook production. PhD in Computational Pathology MS in Machine Learning I specialize in developing impactful AI solutions with a focus on advanced Computer Vision, LLMs, generative technologies, and FDA-cleared applications. I welcome opportunities to collaborate on building the next generation of AI innovations.