I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

Hello, I'm Tam 👋 - 7+ years of experience in Deep Learning, Computer Vision, LLM, and Generative AI. - 3+ years of experience in AI Automation, RAG, AI Agents. - Tech stack: Python, PyTorch, TensorFlow, OpenCV, FastAPI, Docker, CUDA, AWS, Modal, DeepStream, Javascript/TypeScript, NodeJS, NextJS, ReactJS, Electron, Tauri, PyQt - Built high-performance real-time object detection systems with NVIDIA DeepStream for edge and GPU deployment. - Developed OCR & document understanding pipelines for scanned documents, engineering drawings, and forms. - Built LLM/VLM-powered AI applications, including multimodal assistants, RAG systems, image analysis, and AI inference APIs. Let's turn your AI idea into a production-ready product.

I architect AI systems that actually work in production from LLM apps to real-time decision engines. If you need more than a prototype, I can help you design and scale it. As a TopTal certified AI architect (top 3% global talent) with 8+ years of experience, I specialize in designing 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 used in fintech, cybersecurity, and enterprise AI decision systems. 𝐌𝐨𝐬𝐭 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐞𝐲 𝐬𝐭𝐨𝐩 𝐚𝐭 𝐝𝐞𝐦𝐨𝐬. 𝐈 𝐟𝐨𝐜𝐮𝐬 𝐨𝐧: - Turning models into scalable, reliable systems - Improving accuracy, latency, and real-world performance - Designing end-to-end AI pipelines, not isolated experiments 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 𝐅𝐨𝐫 𝐘𝐨𝐮: - LLM Applications (GPT, OpenAI, Claude, etc.) - RAG Pipelines (LangChain, vector DBs, semantic search) - AI Agents (multi-step reasoning, automation workflows) - Conversational AI (RASA, Dialogflow, custom NLP systems) - Predictive Models (time series, anomaly detection, trading systems) - AI for Cybersecurity (threat detection, phishing detection) 𝐑𝐞𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝: - Built AI systems for cyber threat analysis and response automation - Developed algorithmic trading models using time series forecasting - Designed context-aware conversational AI systems - Improved model performance through feature engineering & optimization - Reduced false positives in ML systems with behavior-based scoring 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - Python • PyTorch • TensorFlow • NLP (BERT, SpaCy) • Node - LangChain • RAG • FastAPI • Kafka • Redis - AWS • GCP • Kubernetes • Microservices 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞: - I understand both AI + production systems - I focus on business outcomes, not just models - I can take your idea from prototype → scalable system If you're building something where accuracy, reliability, and real-world impact matter, 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤.

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

AI Developer and Senior Full-stack Developer Top-rated Plus (Upwork Top 1%) AI Agents, AI SaaS, Generative AI & Full Stack Development I help companies as AI Developer design, validate, and ship AI products fast, with a strong focus on AI Agents, Generative AI, and proAI Developer (Upwork Top 1%) AI Agents, Generative AI & Full Stack Development 8+ Years in AI & Machine Learning — production systems, not prototypes 50+ AI Products Delivered — from MVP to enterprise scale Top 1% AI Developer on Upwork AI MVPs shipped in 4–8 weeks — structured delivery, no overengineering HIPAA / SOC2 / GDPR-ready AI systems Full-cycle delivery — architecture, development, deployment, and optimization Trusted by teams in Healthcare, FinTech, Logistics, Real Estate, and E-commerce As a Senior AI Developer and Full Stack Software Engineer, I build production-ready Generative AI applications, custom AI Agents, and scalable machine learning systems. With 8+ years in Machine Learning and software architecture, I work as an AI Developer, AI Engineer, and Full Stack Developer. Together with Indeema, a full-cycle AI and custom software company, I lead teams that turn AI strategy into deployed systems, from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations. Proven track record with a 100% Job Success Score Consistently earning 5★ client feedback 8+ years building production-ready AI systems Clean, scalable, and enterprise-grade architecture From idea to deployed MVP in 4–8 weeks My structured delivery approach takes products from idea to working MVP in 4–8 weeks. AI Agent Consulting & Delivery I consult and implement agentic AI systems that observe, reason, and act across business workflows: AI Agents & Autonomous Workflows LLM-powered Products and Copilots RAG Systems and Knowledge AI AI Orchestration Architectures AI Integration into existing platforms AI MVP validation and architecture design My approach combines strategy, architecture, and delivery helping companies avoid costly overengineering and ship production-ready AI faster. What I Deliver AI Agent for Document Management AI Agent for Real Estate AI Agent for Inventory Management AI Agent for Fintech and Financial Management AI Agent for Medical Clinics and Image Analysis AI System for Advanced Analytics Agentic AI System Design Generative AI Development Machine Learning and Predictive Analytics AI App Development and Automation NLP, Computer Vision, and Data Science Enterprise AI Integration and Modernization I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams. AI MVPs in 4–8 weeks using a structured delivery methodology HIPAA / SOC2 / GDPR-ready solutions AI integration with ERP, CRM, and legacy systems Dedicated AI teams and fractional CTO leadership ⚙️ Technologies Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems. If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk.

-- Top 3% of AI Developers on Upwork (rated: Top Rated Plus) -- 5+ Years of Professional Experience in Machine Learning -- Specialized in Generative AI, Image Generation, and Speech Generation As a specialist in AI, I bring a strong theoretical foundation alongside practical expertise in machine learning, deep learning, and generative AI models. With over 5 years of experience, I excel in applying advanced AI techniques to solve complex problems in image generation, speech synthesis, and more. Key Areas of Expertise: - Deep expertise in generative AI models for image, video, and speech generation (GANs, VAEs, diffusion models). - Skilled in designing and fine-tuning LLMs and multimodal models, integrating image, text, and speech for advanced AI solutions. - Proficient in the full ML/DL pipeline: architecture design, model training, deployment, and continuous optimization. - Extensive experience in applying cutting-edge neural networks for computer vision, NLP, and audio processing. - Developed custom generative models for use cases including text-to-image, image-to-image, speech-to-text, text-to-speech, and voice cloning. - Implemented solutions for automated content generation, image captioning, visual understanding, speech synthesis, and multimodal fusion. - Focused on optimizing models for deployment on mobile, cloud, and edge devices using tools like PyTorch, TensorFlow, and NVIDIA frameworks. Research Experience: - Published work in reinforcement learning at ICML ("Inverse Constrained Reinforcement Learning") with applications in human feedback for improving generative models. - Expertise in Reinforcement Learning from Human Feedback (RLHF), a key technique used in training high-performance LLMs and generative models. Technical Skills: - Core Areas: Generative AI, Image Generation, Speech Generation, Multimodal AI, Computer Vision, NLP, OCR, Large Language Models, Big Data Analytics. - Libraries/Frameworks: TensorFlow, Keras, PyTorch, Hugging Face, OpenAI, CoreML, FastAPI, Flask. - Toolkits: PyTorch, Numpy, Pandas, CUDA, TensorFlow, OpenCV, Tflite. - Operational Tools: GCP, AWS, Kubernetes, Docker, Github, Gitlab.

I am a Senior Machine Learning Engineer with 7+ years of experience in research, model development, and cloud deployment. My work includes academic research and real-world AI systems, from designing deep learning models to deploying scalable ML pipelines on GCP, AWS, and Azure. Expertise • Research: Deep learning, computer vision, NLP, and generative AI • Development: Training and fine-tuning ML models using TensorFlow and PyTorch • Deployment: Building and scaling ML systems on GCP, AWS, and Azure with Docker, Kubernetes, and Terraform Certifications Google Cloud (2024) • Professional Machine Learning Engineer • Professional Data Engineer • Professional Cloud Architect Microsoft Azure (2021) • Azure Data Scientist Associate • Azure Fundamentals HashiCorp (2025) • Terraform Associate (003) Selected Projects • AI-Driven Document Extraction: Designed and deployed OCR pipelines using Gemini, Google Document AI, and DeepSeek (Vertex AI) to extract structured data from real estate conveyancing documents. • Reputation System API for Mindplex: Developed and deployed a reputation scoring API based on research in reputation systems, powering user trust and ranking on magazine.mindplex.ai. • Big Data Health Pipeline (GCP): Architected and orchestrated data ingestion and transformation pipelines using Dataflow, BigQuery, Cloud Run, and DBT. Integrated data from Microsoft SQL Server, CSV, Excel, and Azure Blob Storage into BigQuery. • Deep Learning Research and Deployment: Implemented and productionized deep learning models from research papers for diagnostic imaging and AI-assisted medical interpretation. Publications and Patents • Detection of Mitral and Tricuspid Regurgitation from B-mode DICOMs Using Artificial Intelligence (2024) • Reproduction of Full Echocardiographic Report Using Machine Learning from Large-scale Echocardiogram Database (2023) • Methods, Systems, Apparatuses, and Devices for Facilitating a Diagnosis of Pathologies Using a Machine Learning Model (2024), Patent • AI-Based Diagnosis of Aortic Stenosis in B-Mode Imagery: P3-16 (2024) I specialize in designing, building, and deploying production-grade AI systems with a strong foundation in both research and engineering. If you are looking for someone who can take an AI project from concept to deployment, I would be glad to collaborate.

Hello, I'm Kareem! I'm an AI Engineer specializing in Machine Learning, Deep Learning, NLP, and Computer Vision, dedicated to building scalable, data-driven solutions that drive real innovation. Whether it’s intelligent chatbots, automation, or advanced AI models, I craft solutions tailored to business needs—optimizing workflows, extracting deep insights, and enhancing efficiency with cutting-edge AI. - My Promise to you 🚀 Expert Problem Solver: From simple tasks to complex challenges, I deliver solutions that are not just functional but highly efficient and robust. 📚 Comprehensive Documentation: Receive thorough documentation covering AI models, algorithms, and architectures, ensuring you fully understand the process and outcomes. 💡 Clear Code, Clear Results: My code is clean, well-commented, and designed for maintainability, making it easy to follow and adapt. 💬 Responsive Support: Need assistance? I guarantee a same-day response, providing you with consistent support throughout the project. 🔍 Stable and Thoroughly Tested Solutions: I ensure that your solution is stable, well-tested, and handles edge cases with ease, minimizing any risk of issues. 🔄 Flexible and Agile Development: Requirement changes? No problem. I adapt swiftly, ensuring full cooperation and seamless adjustments as your project evolves. 💡 My Expertise 🔹 Core Skills ✔ Machine Learning & Deep Learning ✔ Natural Language Processing (NLP) ✔ Computer Vision & Image Processing ✔ Data Analysis & Visualization ✔ Web Scraping & Automation 🔹 Programming Languages ✔ Python | C++ 🔹 AI & ML Frameworks ✔ TensorFlow | PyTorch | Keras | Scikit-learn 🔹 Machine Learning & Deep Learning ✔ ML Models: Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, Naive Bayes ✔ Deep Learning: CNNs, RNNs, Autoencoders, GANs, Transformers, Large Language Models (LLMs) 🔹 NLP & Chatbots ✔ Text Classification, Sentiment Analysis, Language Translation ✔ Chatbot Development (Llama 3, OpenAI) ✔ Summarization, Named Entity Recognition (NER) 🔹 Computer Vision ✔ Object Detection & Tracking | Image Classification | Image Segmentation ✔ Feature Extraction | Facial Recognition | Optical Character Recognition (OCR) 🔹 Web Scraping & Data Extraction ✔ Scrapy | BeautifulSoup | Selenium 🔹 Data Analysis & Databases ✔ Matplotlib | Seaborn | SQL Looking for an AI expert who brings expertise, professionalism, and a commitment to delivering scalable, high-impact solutions? Look no further! Contact me today to learn more about how I can help take your project to the next level.

I am an AI Researcher with numerous publications including IEEE TNNLS, MICCAI, CBMS, etc. I also have a YouTube channel named "Idiot Developer", where I upload videos related to deep learning. I also write blog posts on my website idiotdeveloper.com. ✅ Projects: 1. Human Face Landmark Detection - using pre-trained MobileNetv2 2. Multiclass Face Segmentation - using UNET. 3. Dog Breed Classification - using pre-trained ResNet50 4. Human Parsing using Crowd Instance-level Human Parsing (CHIP) dataset 5. Brain Tumor Segmentation 6. GAN to generate Anime 7. Retina Blood Vessels 8. Background Removal from Human Images and Videos 9. Implemented various segmentation architectures: U-Net, ResU-Net, DeepLabV3+, DoubleUNet, U2-Net and more. 10. Lung Segmentation 11 Autoencoders

Generative AI Engineer with 100% Job Success, building LLM-powered AI automation systems, RAG pipelines, and AI agents that work inside real business workflows. 30+ AI projects delivered, including 10,000+ hours of manual work automated for clients across support, operations, and internal tools. Most AI automation projects fail when they need to work in production, not in a demo. I design and build production-ready generative AI systems using OpenAI (GPT-4/5), Claude, Gemini, and open-source LLMs like Llama and Mistral, with clean Python backends that integrate into the tools your team already uses. What I build: Generative AI and AI automation systems for business workflows  AI agents for customer support, operations, and internal tools (LangChain, LangGraph, CrewAI)  RAG (Retrieval-Augmented Generation) knowledge systems connected to docs, PDFs, and databases  AI chatbots and assistants that take real actions, not just answer questions  Voice AI agents for inbound and outbound calls: appointment booking, lead qualification, and support (Twilio, VAPI, Retell)  Claude automation and Claude Code agent workflows  Custom GPT systems, prompt engineering, and structured outputs (JSON schema control)  Workflow automation with n8n, Make, Zapier, and custom Python scripts  Backend systems for LLM applications: APIs, integrations, and AI SaaS features  Fine-tuning and deployment of open-source models (LoRA, QLoRA, Hugging Face) Results so far: 100% Job Success Score on Upwork  30+ AI and automation projects delivered (Upwork and direct clients)  10,000+ hours of manual work automated across client teams  Typical response time: under 1 hour When clients reach out: Repetitive manual processes are slowing the team down  Internal knowledge is scattered across docs, PDFs, and systems  Support or operations need AI automation  Phone-based support, booking, or lead intake needs to run without a human on every call  They want real generative AI functionality inside an existing product or SaaS  A previous AI solution worked as a demo but failed in real-world usage How I approach projects: I build AI systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure the LLM, RAG pipeline, or agent integrates properly with your data and tools. Clear communication, iterative delivery, and production-ready code. Tech stack: LLMs: OpenAI GPT-4/5, Claude, Gemini, Llama, Mistral  Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, Hugging Face  RAG and vector databases: Pinecone, FAISS, Chroma, pgvector  Backend: Python, FastAPI, Flask, Django  Automation: n8n, Make, Zapier, API and webhook orchestration  Voice AI: Twilio, VAPI, Retell, speech-to-text and text-to-speech pipelines  Infrastructure: Docker, AWS, GCP, REST APIs If you are building something with generative AI, or trying to figure out the right approach, message me with your use case. I typically respond within an hour and can help you scope it into something that actually works in production. Keywords: Generative AI Engineer, AI Engineer, LLM Engineer, AI Automation, AI Agents, RAG, Retrieval Augmented Generation, Chatbot Development, Voice AI Agent, Voice Agent Development, AI Phone Agent, Conversational AI, OpenAI API, GPT-4, Claude API, Claude Automation, Gemini, Llama, LangChain, LangGraph, CrewAI, LlamaIndex, Prompt Engineering, Fine-Tuning, Python, FastAPI, Backend Development, API Integration, Workflow Automation, n8n, Zapier, Twilio, VAPI, Speech to Text, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, AI SaaS Development