I have extensive experience in Computer Vision, Deep Learning, AI/ML, and Data Science, focused on creating impactful solutions that address real-world challenges. I specialize in transforming complex concepts into practical systems that meet and exceed client expectations. Whether it's building efficient models for object detection, classification, segmentation, or delivering insightful data analysis, I am dedicated to creating solutions that add value and drive success. **𝗦𝗞𝗜𝗟𝗟𝗦:** - Data Wrangling, Feature Engineering, Predictive Modeling - Machine Learning & Deep Learning Models, Data Analysis - Algorithm Development & Optimization - Object Detection, Classification, Instance & Semantic Segmentation - Face Detection & Recognition, Object Tracking, Re-Identification - Pose Estimation, Action Recognition - Image & Video Annotation, High Precision Bounding Boxes & Segmentation Masks - Frame Differentiation, Motion Detection, Change Detection - Model Deployment & Training, Hyperparameter Tuning - Data Visualization & Reporting, Feature Importance Analysis - Real-Time Video Processing, Edge AI Deployment, Model Integration into Applications **𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘:** - YOLO (YOLOv8, YOLOv9, YOLO-NAS, YOLOv10), ByteTrack, BoT-SORT - DeepFace, FaceNet512, Dlib, RetinaFace, MediaPipe - CVAT (Computer Vision Annotation Tool), Roboflow - FastAPI, Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch), OpenCV - Jupyter, Google Colab, SQL for Data Analysis, VSCode - Matplotlib, Seaborn, Plotly for Data Visualization When you work with me, you're not just hiring a technical expert—you’re gaining a partner who is committed to your success. I take pride in delivering solutions that are technically sound, practical, and aligned with your business goals. Let’s work together to create something exceptional and ensure your project's success.

2X GCP Certified • Google Certified Proffessional Machine Learning Engineer • Google Certified Associate Cloud Engineer Contributed to Stanford Research (Echonet Dynamic) open source project for Interpretable AI for beat-to-beat cardiac function assessment. Successfully completed Stanford online certification in Machine learning with 97.3% grade. I love to work on challenging and state of the art cutting edge machine learning and artificial intelligence projects that push the edge or require the latest research in the field of machine learning and artificial intelligence. I have worked on attention mechanisms for improving the efficiency of existing models as well as creating new models from scratch that increase the capabilities for the model to solve the particular task much more effectively. I am able to implement "pytorch" "tensorflow" "keras" "octave" "tflearn" "sklearn" "pandas" "matplotlib" "nunmpy" "scipy" among others for any machine learning tasks, in the wide range of application spectrum. I am able to design front end back-end of the apps or a website etc. Can work on web-sockets servers google cloud platform hadoop reactjs image processing end to end models (including data prepossessing) I have successfully concluded a number of competition on kaggle with respectable positions on the leader-board. I am able to implement bhednau and Luong Attention mechanisms both in image (or video) classification, object detection or surveillance tasks, as well as in NLP (Natural Language Processing). NLP (implementation include:) Spacy Glove Vector Custom embeddings etc Can work with: Python reactjs c++ bash linux octave AWS Google cloud Terraform Ci/CD pipelines Kubernetes Tools: Prometheus Grafana Docker google cloud ml google ai-platform aws sagemaker google ml toolkit Azure Databricks Google AutomL Apart from the above interest, I also have always had the aspiration of being a writer.Starting of from the minor projects I am on my way to write a book, a semi-fictional psychoanalysis.I would love to write about new things and therefore add on to my own knowledge while doing that and earning at the very same time.

With over a decade of experience in AI, Machine Learning, and Deep Learning, I am passionate about leveraging cutting-edge technologies to build intelligent, data-driven solutions. My expertise lies at the intersection of conversational AI and traditional ML/DL models, allowing me to deliver advanced solutions tailored to your unique needs—whether you're looking to integrate chatbot systems or deploy predictive models for business intelligence. I specialize in building and deploying state-of-the-art conversational AI systems powered by Large Language Models (LLMs). This includes custom chatbot creation, chatbot API integration, and enhancing customer interaction workflows. I stay up-to-date with the latest advancements in AI, such as GPT-based models and open-source LLMs, and I'm proficient in designing conversational agents that can handle complex tasks and human-like interactions across multiple domains. In addition to cutting-edge AI solutions, I also have deep experience in traditional ML and DL methods. This includes: Regression and Classification Models: Implementing various algorithms for predictive analysis, like Linear/Logistic Regression, Decision Trees, and Support Vector Machines (SVM). Neural Networks: Building and training deep learning models using frameworks such as TensorFlow and PyTorch for image processing, NLP, and more. Here’s a snapshot of my technical expertise: Conversational AI & LLMs . Custom Chatbot Development (GPT-based models, OpenAI, etc.) . Chatbot API Integration (Twilio, Dialogflow, Microsoft Bot Framework) . NLP-based Automation and AI-driven Customer Support Solutions . Large Language Models (LLMs) for Content Generation and Query Resolution . Fine-tuning Pre-trained Language Models for domain-specific tasks Traditional Machine Learning & Deep Learning . Regression and Classification Algorithms . Decision Trees, Random Forest, XGBoost . Deep Learning (Neural Networks, CNNs, RNNs) . Natural Language Processing (NLP) using PyTorch, TensorFlow, Hugging Face Transformers . Image Recognition and Processing with Keras, OpenCV Data Engineering & Model Deployment . Model Optimization & Hyperparameter Tuning . MLOps and CI/CD for Machine Learning (Docker, Kubernetes) . Deploying Models to Cloud Platforms (AWS SageMaker, GCP AI Platform, Azure ML) Key Domains of Expertise: ✅ Conversational AI Systems & Chatbots ✅ Large Language Models (LLMs) ✅ Natural Language Processing (NLP) ✅ Predictive Analytics for Business ✅ Computer Vision ✅ Automation & AI Integration for Customer Interaction ✅ Healthcare AI Solutions ✅ Finance & Risk Prediction Models ✅ Retail and E-Commerce Analytics Buzz Words: AI Developer, Machine Learning Engineer, Deep Learning Specialist, Chatbot Developer, NLP Expert, TensorFlow Developer, PyTorch Engineer, Conversational AI Expert, LLM Integrator, Data Scientist I look forward to connecting with you to help design intelligent AI solutions that drive impact and enhance your business processes. Whether it's a chatbot system to streamline customer service or advanced ML models for predictive insights, let's bring your vision to life!

I help startups, SaaS companies, and enterprise teams automate workflows, improve knowledge retrieval, and deploy production AI systems that deliver measurable business outcomes. I build production-grade AI agents, multi-agent systems, and RAG platforms that remain reliable in production long after deployment. Verified Upwork track record: 147 jobs delivered, 7,000+ hours, 100% Job Success, Top Rated, 5.0 across 133 reviews. — What I specialize in — Plenty of AI developers can wire up a chatbot. I focus on building AI systems that solve real business problems and hold up in production. • AI agents & multi-agent systems — orchestration, tool calling, LangGraph • Advanced RAG — hybrid search, GraphRAG, reranking, hallucination control, RAGAS evaluation • LLM applications & copilots, including MCP (Model Context Protocol) integrations • Fine-tuning (LoRA / QLoRA / PEFT) and inference optimization • A full ML / CV / NLP foundation underneath, so I solve the problem the way it actually needs solving — not just the way that fits one tool — Recent work — • HirePilot AI — an AI-native talent marketplace (SaaS) running the full hiring pipeline: candidate matching, resume parsing, technical assessments, interview management, and recruiter verification across dedicated candidate, employer, recruiter, and admin portals. The platform processes thousands of candidate profiles and reduces manual screening from hours to minutes. • Enterprise multi-agent GraphRAG platform unifying documents, databases, Jira, and Confluence with hybrid retrieval, graph reasoning, and answer verification. RAGAS-based evaluation improved answer quality by more than 25% while significantly reducing hallucinations across thousands of enterprise documents. • SmartSupportAI — an intelligent customer-support system (n8n, Gemini, Pinecone, Google Drive) that automatically detects new and updated manuals, FAQs, and knowledge-base content, keeping answers aligned with the latest documentation. Reduced document search time by approximately 75% and eliminated a large portion of repetitive support queries. • MCP-based financial research assistant with custom MCP servers integrating market data, news, and technical indicators, enabling multi-agent research workflows and faster investment analysis. • Multi-agent healthcare assistant automating patient workflows including department routing, appointment booking and modification, prescription explanations, patient-history retrieval, and seamless human escalation. • Medical image segmentation for cancer detection using deep learning, achieving strong validation performance, alongside an OCR and computer-vision pipeline for extracting measurements from architectural and construction drawings. Domains delivered in: recruitment, healthcare, finance, e-commerce, IoT, and manufacturing. — Why clients hire me, and rehire me — When you hire me, you work directly with the engineer building the solution. • 147 completed projects backed by a 100% Job Success Score • Production deployments that continue delivering value after handoff • Direct technical ownership from architecture through deployment • Fast iteration with working prototypes delivered early • Honest scoping — I'll tell you when AI isn't the right answer before you spend money on it — Tech — Python, LangGraph / LangChain, n8n, OpenAI / Claude / Gemini, MCP, Pinecone / Weaviate / FAISS, Neo4j, FastAPI, Docker, AWS / Azure / GCP. — Let's talk — If you need an AI agent, MCP integration, production RAG platform, or custom LLM application, send me a message describing the problem you're trying to solve. I'll tell you how I'd approach it, what I'd recommend, and whether I'm the right fit for the project.

I am a results-driven Machine Learning engineer and AI automation expert with extensive experience in designing, developing, and deploying AI-powered solutions that create real business impact. My expertise covers the entire AI/ML spectrum — from computer vision and NLP to LLM integration, RAG systems, and predictive modeling. ✅ Core AI & ML Expertise: Deep Learning & Prediction Models – building high-accuracy systems for forecasting, classification, and real-time analytics. Computer Vision – object detection, image recognition, annotation pipelines, OCR (Optical Character Recognition). Natural Language Processing (NLP) & LLMs – chatbots, AI agents, conversational workflows, and Retrieval-Augmented Generation (RAG) for smarter AI applications. AI Automation – developing end-to-end intelligent workflows that integrate seamlessly with business processes. ⚙️ Technical Stack & Tools: Programming & Frameworks: Python scripting, Django, TensorFlow, PyTorch, LangChain Cloud & Deployment: AWS (SageMaker, EC2, Lambda, model hosting, scaling) Data Handling: Annotation, OCR, structured/unstructured data pipelines 🚀 What I Deliver: I specialize in transforming complex ideas into production-ready AI systems. Whether you need: An AI-powered chatbot trained on your data, A computer vision pipeline for detection & recognition, A prediction model with optimized accuracy, Or a full-stack AI automation solution deployed on AWS, I ensure end-to-end execution: design, development, integration, deployment, and optimization. 🤝 Why Clients Choose Me: Strong blend of technical expertise + business focus Proven ability to deliver scalable, reliable, and high-performing AI systems Clear communication, structured project management, and long-term support If you are looking for a Machine Learning & AI expert who can build cutting-edge solutions across vision, NLP, LLMs, and automation let’s connect and make it happen.

I build production-ready computer vision systems for video data from camera and CCTV, image ,and dron data — from real-time object detection to large-scale image analysis pipelines. Recently, I helped improve crop yield analysis by 3× using UAV imagery and deep learning models, delivering actionable insights for real-world agricultural operations. 🎯 Computer Vision — YOLOv8/11, Faster R-CNN, U-Net, DeepLabV3+ 📍 Multi-Object Tracking — SORT, DeepSORT, ByteTrack 💬 LLM Applications — RAG, LangChain, Hugging Face, LoRA/QLoRA ⚡ Real-Time AI Deployment — OpenCV, PyTorch, TensorFlow 📈 Scalable Search — FAISS, vector DBs for face & document retrieval 🤖 LLM-Powered Telegram Bots — intelligent assistants & automation 🔥 What I can do for you: - Computer Vision (Core Expertise) Real-time object detection using YOLO (v5–v26, custom models) Multi-object tracking (MOT) for video analytics Image segmentation (U-Net, custom architectures) Action recognition & event detection (e.g., fall detection) - OCR Pipeline for Automated Optical Inspection Developed a high-accuracy OCR system to extract textual information from electronic component images, achieving 95% accuracy and significantly improving manufacturing inspection workflows. 🚁 Drone / UAV Image Analysis (Specialized) Aerial image processing & orthophoto analysis Crop health monitoring (NDVI, VARI, stress detection) Object counting, mapping, and geospatial analysis Agricultural AI solutions using multispectral imagery 🎥 Video Surveillance & Analytics & CCTV videos Smart surveillance systems (intrusion, anomaly detection, action recognition) Multi-camera tracking systems Real-time video processing pipelines 🧠 End-to-End AI Systems Data preprocessing & annotation pipelines Model training, evaluation, and optimization Error analysis (FP/FN reduction, dataset refinement) Scalable deployment on cloud (AWS, GCP, SageMaker) - Digital Image Processing with Opencv - Multimodel ( such as InternVideo) recommendation system - merlin models for ranking and recommendation - embedding extraction from Computer Vision Multi models to applying vector search system in recommendation and ranking ⚙️ Tech Stack Core: PyTorch • TensorFlow • OpenCV • Python CV Tools: YOLO • U-Net • Detectron • Roboflow • Labelstudio Cloud: AWS (S3, SageMaker) • GCP (Vertex AI) Other: Docker • Git • Rasterio • QGIS • Hugging face • ViT • 🏆 Why clients choose me: ✅ Top Rated Plus (Top 3% on Upwork) ✅ Proven results in real-world AI deployments ✅ Strong focus on business outcomes, not just models ✅ Experience with drone, agriculture, and video AI systems ✅ Clear communication & reliable delivery 🟢 Scalable, production-grade systems (millions of records, real-time pipelines) 🟢 True end-to-end delivery — strategy → data → model → deployment 🟢 On-time delivery with measurable business impact 🟢 Clear, reliable communication throughout the project 📩 Message me for a free consultation — I’ll help you outline the best technical approach for your project. If you’re looking for a Computer Vision engineer who can turn your idea into a working system.

I have made 3D designs for companies such as Saudi Aramco, DUC Whiskey, British Airways, and more. I have an MSc in Industrial & Production Engineering, with over seven years of experience in 3D modeling and animation; I use various CAD and 3D software such as Autodesk Inventor, Autodesk Plant3D, Solidworks, Creo, Blender3D, Unity3D, SparkAR, CLO3D, among others. My skill set include 3D Modeling and Animation, Product Design, Product Development, Photorealistic Rendering, FB/IG filter development, Mixed Reality App Development, Oculus, AR & VR App Development.

🚀 I help teams turn AI concepts into real, working systems from deep learning models to full scale LLM applications. 💡 Core Domains: 🤖 AI/ML and Deep Learning CNNs, Transformers, Gradient Boosting 🗣️ NLP and Speech AI OCR, PDF Parsing, NER, Emotion Detection, TTS/STT 🧠 Generative AI and LLMs OpenAI, Claude, llama.cpp, LangChain RAG ⚙️ Automation and No Code n8n, Zapier, Streamlit, OpenAI Realtime API 🧩 I focus on robust architectures, clean data pipelines, and measurable results whether improving model accuracy, automating workflows, or scaling AI chat systems. 📘 Every build includes clear documentation and repeatable processes so your team can maintain and extend it confidently. 💬 If you need an engineer who bridges AI research, software engineering, and automation, lets discuss how I can help accelerate your next project.

PhD-trained Machine Learning Engineer and Research Scientist with 15+ years in software development and 7+ years applying ML to real-world problems. I combine academic rigor with engineering expertise to deliver solutions that work in both research and production. I have collaborated with startups, R&D teams in large corporations, and academic labs, applying ML across healthcare, genomics, predictive analytics, finance, and industrial applications. My experience also includes applied research in exploration geophysics and marine seismic, giving me a unique cross-disciplinary perspective. Notable projects include: Financial NLP: Built an LSTM-based system to detect special banking offers in documents — still outperforming competing solutions in speed and accuracy years after deployment. Biomedical ML: Developed a production-grade model for non-invasive heart stroke prediction using seismocardiography (SCG) data. Predictive Maintenance: Contributed to startup projects building anomaly detection and forecasting systems for industrial equipment. My technical toolkit includes: Languages & Libraries: Python, R, Matlab, C/C++, scikit-learn, TensorFlow, PyTorch, Keras, Transformers Cloud & Infrastructure: AWS (SageMaker, EC2, S3), Docker, Databricks, CI/CD pipelines, testing frameworks Expertise: LLM deployment & fine-tuning, production-ready ML systems, applied research Whether supporting scientific research or delivering scalable ML systems, I bring a proven ability to move projects from prototype to production.

Struggling to deploy reliable AI systems that scale? My name is Caleb, a 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐌𝐋𝐎𝐩𝐬 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 who has successfully delivered 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 improving efficiency and automation. I specialize in end-to-end AI project lifecycle management, deep learning, and cloud deployment to boost your product's intelligence and performance. 𝐇𝐎𝐖 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Expert design and training of custom AI models including LLMs, computer vision, and NLP tailored to your needs. 𝐌𝐋𝐎𝐩𝐬 & 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 End-to-end deployment, monitoring, and optimization of scalable AI solutions with CI/CD and cloud integration. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐧𝐨𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 Creation and management of high-quality datasets plus insightful data analysis and predictive modeling. 𝐅𝐮𝐥𝐥𝐬𝐭𝐚𝐜𝐤 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Building robust AI-powered web and desktop applications using Python, JavaScript, React, and Flask. 𝐂𝐮𝐬𝐭𝐨𝐦 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Implementing generative AI and multi-agent systems to automate complex workflows and boost efficiency. ====================== 🌟 WHAT CLIENTS SAY 🌟 ====================== ❝ Caleb was beyond excellent throughout the entire process. Not only was he fast, but he was also very responsive to messages and provided updates regularly. I will definitely be working with him again in the near future. ❞ – Haley N. -------------------------------------------- 🎖 Certifications & Awards 🎖 🏅 Statistics Certified 🏅 Web Developpement Certification -------------------------------------------- ================================= 🤝 𝗟𝗘𝗧'𝗦 𝗕𝗥𝗜𝗡𝗚 𝗬𝗢𝗨𝗥 𝗜𝗗𝗘𝗔𝗦 𝗧𝗢 𝗟𝗜𝗙𝗘 ================================= Ready to innovate with cutting-edge AI solutions? 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝘁𝗼𝗱𝗮𝘆 for a free project consultation and expert guidance. I typically respond within 6 hours and am eager to help accelerate your AI projects. ======================== 🛠️ 𝐓𝐎𝐎𝐋𝐒 & 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 ======================== 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 • Python • JavaScript 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 • TensorFlow • PyTorch • Scikit-learn • Hugging Face • OpenVino 𝐂𝐥𝐨𝐮𝐝 & 𝐌𝐋𝐎𝐩𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 • AWS • Google Cloud • Runpod • MLflow 𝐃𝐚𝐭𝐚 & 𝐀𝐈 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 • Deep Learning • Natural Language Processing • Computer Vision • Data Analysis 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬 • Docker • Flask • FastAPI • React • Electron • SQL • MongoDB 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 • CI/CD • API Integration • Application Security Machine Learning Engineer, MLOps, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, Fullstack Development, TensorFlow, PyTorch, AI Deployment