I'm a Python backend engineer who builds and ships production-grade systems, with a specialization in deploying Machine Learning, Computer Vision, and LLM/AI models into real, scalable applications for healthcare and insurance companies. With 5+ years of experience, I design backend architectures and APIs that take AI/ML models from research notebooks to reliable production systems used by real users, with a strong focus on healthcare and insurance use cases: Backend & API development: FastAPI, Flask, scalable REST APIs, microservices, cloud deployment (AWS, Docker) ML/AI production pipelines: model serving, quantization, inference optimization, CUDA-accelerated deployment Computer Vision systems: object detection, segmentation, classification, medical image analysis, video analytics LLM/VLM & Agentic AI backends: RAG pipelines, multimodal AI, AI chatbots, intelligent assistants (LangChain, LangGraph, Hugging Face) Document AI & NLP: OCR, speech-to-text/text-to-speech, end-to-end automation pipelines Healthcare & insurance domain experience: medical imaging, cancer detection, insurance analytics, predictive modeling, maternal mortality risk, bio-age prediction Tech stack: Python, FastAPI, Flask, Docker, AWS, CUDA, PyTorch, TensorFlow, Scikit-learn, OpenCV, Hugging Face, LangChain, LangGraph, JavaScript/TypeScript, Node.js, Next.js, React.js, Electron, Tauri, PyQt If you need a backend that can actually carry AI/ML in production for healthcare or insurance, not just a model that works in a notebook, let's build it.

⭐⭐⭐⭐⭐ "Hussein was amazing! He's an outstanding developer with a passion for what he does. This guy loves software! He went above and beyond on my project doing so much more than I imagine another developer would do. He really invested in the project and brought a happy energy to the work. I am so grateful to have found someone so skilled and sincere. If you are looking for a developer who is great to work with on a personal level, and who is responsible and trustworthy, and who has outstanding technical skills, Hussein is your guy! Thank you!" - Adam Wes, The Bhakti Math Guru Welcome to my professional journey, spanning over 7+ years, where I've built a solid foundation in programming, problem-solving, and computer science. My enthusiasm for competitive programming led me to excel in ICPC qualifications and mentor Olympiad contenders. Beyond this, I've specialized in Artificial Intelligence, focusing on Large Language Models (LLMs), autonomous AI agents, and advanced AI solutions. This expertise has allowed me to contribute significantly to the fields of natural language processing and deep learning, driving innovative projects and solutions. My work is dedicated to harnessing the power of AI to solve complex challenges and create impactful technology. ✨ Core Areas of Expertise: ✨ ✅ Large Language Models (LLMs): Expert in building, training, and fine-tuning state-of-the-art LLMs for diverse applications, driving advancements in natural language understanding and generation. ✅ Autonomous AI Agents: Developing intelligent agents capable of making decisions and learning from their environment, setting new standards for autonomy and efficiency. ✅ Mixture of Experts (MoE): Leveraging MoE architectures to create highly specialized and scalable AI systems, optimizing for performance and adaptability. ✅ Computer Vision & Deep Learning: Adept in harnessing the power of deep learning for computer vision tasks, from object detection to image classification and beyond, transforming the way machines interpret the visual world. Additionally, I have a deep theoretical and practical knowledge of Data structures and Algorithms in the following areas: 🔷 Graphs: DFS, BFS, Dijkstra, Floyd Warshall, A*, MST, Max Flow, etc. 🔷 Data structures: Fenwick tree, Segment Tree, B-tree, BST, etc. 🔷 Searching and sorting: Binary search, Ternary search, KMP, Z, etc. 🔷 Math: probability theory, Number Theory, Computational Geometry, etc. 🔷 Dynamic Programming 🔷 Complexity and master theorem. 🏆 Recognitions & Achievements: 🏆 🥉 World Robot Olympiad 2016: Bronze Medalist 🎖️ Collegiate Programming Contest: Multiple Honorable Mentions (TCPC2015, TCPC2016, TCPC2017, SCPC2015, SCPC2017) 🏅 Academic Excellence: Outstanding achievements at Innopolis University, including a perfect GPA and top ranks in the Mathematics Olympiad. I am ready to give my best to make you satisfied with the results and the experience with me!

ML Engineer — Computer Vision, Claude/LLM Agents & Audio AI I build deep learning systems across vision, language, and audio — and ship them to production, not just notebooks. I've trained models from scratch, fine-tuned transformer architectures, and deployed to Core ML on real client engagements (including a 400+ hour model-build contract). 5.0 stars across every reviewed project. Computer Vision Image classification, detection, and feature extraction with CNN and transformer (ViT/AST-family) architectures. My core audio work runs on spectrogram based vision models, so the same deep-learning toolkit — convolutions, attention, transfer learning — carries directly into image and video tasks. Claude / LLM Agents & Automation AI agents, automation workflows, and reasoning assistants built on Claude and OpenAI APIs. RAG pipelines, tool-use/agentic systems, and LLM integrations that connect models to real data and real actions. Audio & Speech AI Instrument/audio classification, feature extraction, and transformer fine-tuning (AST, Wav2Vec2, HuBERT), plus generative audio with AudioCraft/MusicGen. Built multiple audio models end to end — clients describe me as central to their ML work. Deployment & Engineering TensorFlow/PyTorch → Core ML export, FastAPI inference services, and optimized real-time / batch pipelines. I handle the messy export and optimization steps end to end. Top Rated · 100% Job Success · 5.0 across all reviewed jobs. I move fast and build things that actually deploy.

I am a technology professional with 7+ years of industry and research experience, including 2+ years focused on AI and Machine Learning. I hold a Master’s degree in Computer Engineering and have conducted published research in optimization frameworks. I specialize in building intelligent, production-ready AI applications powered by Agentic AI, Generative AI, and RAG pipelines, translating research-driven concepts into real-world, scalable solutions. ✅ 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Design and develop autonomous Agentic AI systems using LangGraph and LangChain with tool orchestration, stateful workflows, and LLM-driven decision-making. Build production-ready AI services with FastAPI and scalable backend integration. 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Design and build scalable RAG architectures using FAISS and vector databases for semantic search, document intelligence, compliance validation, and knowledge-grounded question answering. 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣) 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Integrate MCP-based tool calling to connect LLM agents with external APIs, enabling real-time data retrieval, validation, and context-aware reasoning. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Deliver end-to-end Full-Stack AI solutions using Python, FastAPI, Streamlit, Docker, TensorFlow, PyTorch, and Hugging Face — from model development to scalable production deployment. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Strong foundation in classical machine learning (Linear/Logistic Regression, SVM, Decision Trees, Random Forest, KNN) and deep learning architectures (CNNs, RNNs, LSTMs, Transformers), with expertise in optimization, regularization, and hyperparameter tuning. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Python, SQL, FastAPI, Django, Streamlit, LangChain, LangGraph, TensorFlow, PyTorch, Hugging Face, Scikit-learn, XGBoost; PostgreSQL, MySQL, MongoDB; Docker, GitHub Actions (CI/CD); AWS, Render Cloud; VS Code. Let’s collaborate and discuss how we can harness these technologies to achieve your goals.

Most AI initiatives are not unsuccessful because of substandard models. They are not working after all no one assembles all the pieces together. 𝐓𝐡𝐚𝐭'𝐬 𝐦𝐲 𝐣𝐨𝐛. ᯓ★ I build production-ready AI systems that solve real business problems. 🌍 Serving clients globally with 𝐟𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 across all time zones 🏆 4+ years of hands-on experience across full-stack 𝐀𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 😊 Trusted by 100+ 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 across healthcare, legal, finance, and education 🔝 Specialized in 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 from concept to deployment Most AI projects do not fail because the model is weak. They fail because the full system is not designed properly: retrieval is poor, APIs are fragile, the frontend is disconnected, or deployment is ignored. My work focuses on connecting all of those pieces into one reliable product. I work across the full stack of AI development: machine learning/deep learning models, computer vision/NLP techniques, GenAI/Agentic AI & LLM applications, RAG pipelines, backend APIs, frontend interfaces, databases, and cloud deployment. I have built AI solutions across healthcare, legal tech, education, analytics, and cybersecurity, including systems for clinical triage, legal document analysis, real-time sentiment analysis, and enterprise knowledge assistants. ➥ Core Expertise Machine Learning: Classification, regression, clustering, dimensionality reduction, feature engineering, ensemble learning, anomaly detection, time-series, model evaluation (ROC-AUC, F1, RMSE), pipeline optimization. Deep Learning: CNNs, RNNs, LSTMs, Transformers, attention mechanisms, transfer learning, fine-tuning, backpropagation, gradient descent, model quantization. Computer Vision: Image classification, object detection, segmentation, OCR, pose estimation, preprocessing, augmentation, visual embeddings, video analysis, Grad-CAM. NLP: Text classification, sentiment analysis, NER, topic modeling, summarization, question answering, machine translation, semantic search, embedding-based retrieval. GenAI / Agentic AI: RAG pipelines, multi-agent systems, tool/function calling, prompt engineering, embeddings & vector search, reranking, hallucination reduction, LLM evaluation, fine-tuning (LoRA/QLoRA). Deployment: Containerization, orchestration, CI/CD pipelines, autoscaling, monitoring & logging, GPU deployment, serverless architecture. Full-Stack AI Development: AI chatbots, copilots, document Q&A systems, RAG-based systems, multi-agent workflows, memory systems, local LLM deployment. ➥ Tools and Frameworks Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, NumPy, pandas, MLflow, Optuna. Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers Computer Vision: OpenCV, PyTorch Vision, Detectron2, YOLO, Albumentations, MediaPipe, Segment Anything (SAM), FiftyOne. NLP: BERT, RoBERTa, T5, GPT, SentenceTransformers, spaCy, NLTK, Hugging Face Transformers. GenAI / Agentic AI: OpenAI API, Gemini, LLaMA, Mistral, Claude, LangChain, LangGraph, CrewAI, LlamaIndex, FAISS, ChromaDB, Pinecone, Milvus, Ollama, vLLM. Backend APIs: FastAPI, Flask, Django, Node.js, GraphQL, REST APIs, Redis, Nginx, PostgreSQL/Supabase, Firebase. Deployment: Docker, Kubernetes, AWS, GCP, Azure, Vercel, GitHub Actions. ➥ Why Clients Work With Me - I build complete AI products, not just isolated models - I focus on real-world usability, performance, and maintainability - I communicate clearly and give realistic technical direction - I write clean, documented code that teams can extend - I can take a project from idea to deployment If you need an AI engineer who can handle the full pipeline from LLMs and ML models to backend, frontend, and deployment, I would be glad to help. Let’s have a quick chat/meeting and discuss the solution to your problem. ➥ EXPERTISE Machine Learning | Deep Learning | Generative AI | Agentic AI | NLP | AI System | AI Development | AI Full-stack Development | AI MVPs | Python Scripting | Computer Vision | Sentiment Analysis | RAG Chatbots | Automations | Backend Development | Frontend Development | AI Chatbots | LLM Applications | AI Web App Development | AI Engineer | Cloud Deployment | Classifications | Recommendation systems | EDA | Feature Engineering | Time-series | Predictive Modelling | MLOps | PDF Extraction | Data Extraction | Object Detection | Model Fine-tunning | AI Model Integration | AI PDF Extraction | Statistical analysis | Legal | Finance | Healthcare | Education | AI Model Development | Full-stack Development

Greetings! I am a PhD candidate in Statistical Machine Learning with Master’s and Bachelor’s degrees in Statistics, combining strong statistical foundations with practical experience in AI, Machine Learning, Data Science, and Business Analytics. I help organizations turn complex data and AI opportunities into practical, measurable solutions. My work covers statistical modeling, predictive analytics, AI implementation, forecasting, automation, research, dashboard development, and decision-support systems. Top Rated Plus on Upwork – Proven record of successful projects, strong client satisfaction, and reliable delivery. Why Work With Me? ✅ Statistics & Quantitative Analysis Strong expertise in statistical modeling, hypothesis testing, regression, experimental analysis, multivariate methods, forecasting, and advanced quantitative research. ✅ AI & Machine Learning Implementation I design and implement AI/ML solutions for real business problems, including prediction, classification, forecasting, optimization, anomaly detection, and AI-assisted workflows. ✅ AI Automation & Intelligent Workflows I help businesses identify processes where AI can improve efficiency and develop intelligent workflows using LLMs, APIs, Python, and automation tools. ✅ End-to-End Data Science From data collection and cleaning to feature engineering, modeling, evaluation, deployment, visualization, and interpretation, I can manage the complete analytics lifecycle. ✅ Business Intelligence & Dashboards I create interactive dashboards and decision-support solutions using Power BI, Tableau, Streamlit, and Python. ✅ Research & Academic Expertise My academic and research background enables me to apply rigorous statistical and machine-learning methodologies to commercial, academic, and consulting projects. Technical Skills • Python, R, SQL • Machine Learning & Statistical Modeling • Generative AI & LLM Applications • Time Series Forecasting • Predictive Analytics • AI Implementation & Automation • Power BI, Tableau & Streamlit • SPSS, STATA, EViews & Minitab • Google Cloud • Research Design & Statistical Analysis Services I Provide • Statistical Analysis & Modeling • AI Strategy & Implementation • Machine Learning Model Development • Predictive Analytics • Time Series Forecasting • Generative AI & LLM-Based Solutions • AI Workflow Automation • Business Intelligence & Dashboard Development • Research Analytics & Academic Consulting • Data Visualization & Decision Support • Feature Engineering & Model Optimization • Risk, Optimization & Scenario Analysis If you need someone who can combine Statistics, Machine Learning, AI, and business understanding to develop practical solutions from your data, I would be happy to discuss your project.

⚡ Stop wrestling with demo AI that breaks on real user traffic. I build production-grade AI Agents, advanced RAG, and custom tools. Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

Presently pursuing my M.Sc. degree in Biomedical Engineering at Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on biomedical signal processing and deep learning-based health informatics projects as an active member of the m-health lab. My other research interests include biomedical simulations, biomedical Instrumentation, and edge device optimization. I am pretty much proficient in python and Matlab programming.

I'm an expert in algorithms design, mathematical optimization and machine learning (deep learning, NLP and reinforcement learning). I help my clients to be Industry 4.0 ready. This means that I not only provide predictive analysis but prescriptive solutions to my clients. What does this mean? Predictive analysis allows you to forecast the future, prescriptive analysis not only allows you to forecast the future but to pro-actively act to change this future for the better. I'm specialized in providing solutions that combine the strengths of machine learning and mathematical optimization.

I design and deploy AI systems that don’t just launch, they scale and perform reliably in production. With 50+ live deployments and 100% client satisfaction, I’ve built everything from intelligent AI solutions and Chatbot Development projects to advanced Computer Vision pipelines and predictive Machine Learning models. As an AWS Certified AI Engineer and Head of AI, I specialize in end-to-end AI architecture using Python, PyTorch, TensorFlow and modern cloud platforms like Amazon Web Services, Azure and DigitalOcean. My expertise spans AI Agent Development, Natural Language Processing, Retrieval Augmented Generation, Deep Learning, Data Science and advanced Data Analysis, delivering robust MVPs and fully production-ready AI platforms that drive real business impact. Notable Achievements: ✦ Reaktion: Developed an AI-powered chatbot using Machine Learning and NLP to deliver advanced Data Analytics and dynamic Data Visualization directly from database queries. Reduced manual reporting effort by 60%. ✦ Partfiniti: Automated BOM extraction from PDFs, emails, excel and images into structured JSON with part lookup and natural language generation, improved extraction accuracy to 92%. ✦ Finsight: FinTech forecasting platform on AWS (EC2, RDS, S3) with FastAPI, Streamlit and predictive ML models, improved forecasting accuracy by 28%. ✦ GIS Mineral Analytics: Built end-to-end ETL pipelines with PostGIS, kriging, KNN, IDW and anomaly detection to power predictive mineral mapping and dynamic heatmaps, reducing exploration risk by 28% and improving drill targeting accuracy by 35%. Areas of Expertise: ✦ Machine Learning: (scikit-learn, XGBoost, Time-Series Forecasting), Python (FastAPI, Streamlit) ✦ Gen AI: LLMs, NLP, RAG Pipelines, OpenAI, Llama, AI Agents, ChatGPT ✦ Audio and Speech AI: AI Voice Agents, STT, TTS, TensorFlow Audio Classification APIs ✦ Computer Vision: OCR, Object Detection, Segmentation, Emotion Detection, Image Recognition (OpenCV, Tesseract), Image Generation, Data Extraction ✦ Cloud-Native AI: AWS Lambda, EC2, RDS, S3, Azure AI, FastAPI, Streamlit, API integration, secure backend systems Why do clients love working with me? ✦ Successfully launched production-ready AI/ML systems with measurable business impact. ✦ Scalable, high-quality solutions powered by Generative AI and Machine Learning. ✦ Reliable long-term partner focused on clarity, performance and sustainable growth. ✦ Strong balance of deep technical expertise and real-world business outcomes across multiple industries. 💬 Feel free to reach out anytime! Let’s build the AI-powered success your business deserves and transform your ideas into production-ready impact!