Senior Data Scientist With 6 years of proven expertise in Machine Learning, Deep Learning, and building end-to-end machine learning solutions. I have a strong track record in delivering impactful data-driven insights and scalable models. Driven by my passion for problem-solving and innovation, I aim to leverage my knowledge, skills, and experience to take on new challenges, continuously advancing my abilities and contributing to the success of the team.

Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, AI Automation, and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

Hello, I’m the founder of StreamTech, with over 11,000 hours across more than 100 AI and machine learning projects since 2016. I bring deep expertise in computer vision and edge AI ranging from object detection, tracking, and OCR to pose estimation, generative image processing, and event detection in sports feeds. I also excel in building intelligent AI agents and LLM driven chatbots that leverage multi turn dialog, RAG enabled memory systems, and API orchestration. My offerings extend beyond AI models and edge deployment. I provide full mobile experience solutions, creating cross platform React Native apps complemented by thoughtful UI/UX design. Whether it's crafting intuitive interfaces, responsive layouts, or seamless animations tailored for both iOS and Android, I ensure that the user experience complements the underlying AI technology. I guide projects end to end, collecting and labeling data, architecting and training models with PyTorch and TensorFlow, and deploying solutions either in the cloud (AWS, GCP) or on edge devices like Jetson Nano, Xavier, and Orin using DeepStream SDK. My engineering stack includes Python, C++, OpenCV, MediaPipe, OpenPose, SMPL, GANs, Stable Diffusion, Docker, and Kubernetes. At StreamTech, our mission has always been to harness cutting edge tech for meaningful business impact. By blending AI innovation with elegant mobile design, I help entrepreneurs and managers accelerate product development. If you're envisioning a mobile solution powered by CV or conversational AI, or need an AI agent interface that shines on mobile, let’s connect and explore how we can craft something exceptional together. Cheers!!

Give me your wildest AI idea, I’ll turn it into a product that ships. Hi there! I’m a Senior Machine Learning Engineer with 8+ years of experience architecting end to end AI solutions from NVIDIA Jetson edge deployments to LLM powered chatbots and autonomous agents. Core Expertise & Tech Stack: - Computer Vision & Image Processing: CNNs, Vision Transformers, real‑time object detection - Deep Learning Architectures: Custom CNN/RNN/Transformer pipelines in PyTorch & TensorFlow - NLP & LLMs: GPT‑series fine‑tuning, RAG pipelines, custom tokenizers - Chatbot & AI Agent Development: Multi‑turn dialog systems, vector‑indexed memory, API integrations - Edge AI Deployments: Jetson Nano, Xavier & Orin containerised inference with TensorRT & Docker - Web Scraping & Python Automation: BeautifulSoup, Selenium, API orchestration, ETL pipelines How We Can Work Together: Whether you need to prototype a custom vision model, build a high performance LLM agent, deploy AI on edge devices, or automate large scale data harvesting, I’m ready to jump in. I’m available for both short sprints and ongoing collaborations, and I typically respond to messages within two hours. Let’s connect, send me a note outlining your project goals, and I’ll share a quick plan to get you from concept to production. Looking forward to turning your AI vision into a market‑ready product.

I am a 𝗣𝗵.𝗗. 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 and the founder of a cutting-edge startup specializing in AI and ML solutions. I offer a unique blend of academic expertise and entrepreneurial spirit. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✔ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀): Deep experience with GPT-4, GPT-3.5, ChatGPT, Whisper, BERT, and more. ✔ 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: Proficient in LSTM, RNN, CNN, Random Forest, Learning to Rank, Regression, and other advanced algorithms. ✔ 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Comprehensive skills in data analysis, modeling, and implementation. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸: ✅ 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python (full scientific stack), R ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: TensorFlow, PyTorch, Keras ✅ 𝗧𝗼𝗼𝗹𝘀: NLTK, Docker 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: ➞ Proven track record in building and scaling SaaS products. ➞ Expertise in translating complex AI and ML concepts into real-world, impactful solutions. ➞ A passion for pushing the boundaries of AI and ML to deliver innovative results. Let’s Collaborate: Transform your AI and ML challenges into groundbreaking solutions!

 Hi, I am a permeant faculty member in well reputed university.  My research domain is Machine Learning, Deep Learning, Artificial Intelligence.  I have numerous International publications. All my publications are available on Google Scholar and ResearchGate.  5 years of teaching experience at University Level.  Written over 20+ articles as a ghostwriter, (proposals, papers, reports, thesis, dissertations, summaries, descriptions, web content, and others)  IF you want any sort of assistance with any of the following, you are at the best place.  Systematic literature review,  Literature Review,  Thesis,  Research paper (conference and journal),  Article writing and rewriting,  Plagiarism removal,  Recommendation letter,  Proofreading,  Editing.  The background of the stated can be any of the following.  Machine Learning,  Artificial Intelligence,  Deep Learning,  Computer Vision  Are you interested in working with me? Invite me to find out if we will make a good fit working together.  Make an invite and let us see if we are the best fit 💪

I’m a Healthcare AI Engineer and Machine Learning Engineer helping Healthcare & MedTech teams build production-ready Medical AI and Clinical AI systems for medical imaging and biomedical signal processing (ECG, EEG, PPG). My focus is not just model accuracy, but clinical validation, deployment, and real-world reliability. If your healthcare AI works in notebooks but struggles in production, I help bridge that gap. What I Help With (Common Healthcare AI Projects) ✔ Medical Imaging AI (X-ray, MRI, CT): disease detection, segmentation, screening ✔ Biomedical Signal Processing (ECG, EEG, PPG): classification, prediction, monitoring ✔ Deep Learning for Healthcare: CNNs, Transformers, time-series ML ✔ Deployment-Ready Machine Learning: FastAPI, Docker, cloud-ready inference ✔ Model Validation & Error Analysis for clinical and research use Results & Proof ✔ Built ECG-based glucose prediction system using PPG data (5★ Upwork project) ✔ Developed non-invasive blood pressure estimation model using clinical signals ✔ Delivered medical imaging deep learning models achieving 92%+ accuracy ✔ Published peer-reviewed EEG research (IJSER, 2021) in biomedical signal AI How I Typically Start Healthcare AI Projects Step 1: Data & requirement review (feasibility, risks, validation scope) Step 2: Baseline model + clinical validation plan Step 3: Production-ready AI pipeline (API, deployment, monitoring) Message me with your dataset and goal I’ll suggest a clear, low-risk roadmap for your healthcare AI project.

Many computer vision models work in a notebook but fail in production. I build OCR, detection, and tracking systems that actually run in real environments so your team can automate workflows and extract real business value from visual data. I work with companies and startups who need robust AI pipelines for document automation, traffic monitoring, retail analytics, or custom visual AI applications. If you want a low-budget experiment with no clear success criteria, I’m probably not the best fit. 🔎 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 𝟭. 𝗜𝗻-𝗗𝗲𝗽𝘁𝗵 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 I begin each project by understanding your goals, constraints, and success metrics to ensure the solution meets your unique needs. 𝟮. 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 I break complex tasks into smaller parts and test multiple approaches to find the most effective solution. This ensures reliable results you can trust. 𝟯. 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 & 𝗖𝘂𝘀𝘁𝗼𝗺 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 My toolkit includes all major computer vision tasks: Classification, detection, tracking, and segmentation. I combine off-the-shelf models with custom-built methods to achieve top-notch performance. 𝟰. 𝗖𝗹𝗲𝗮𝗿, 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝘁 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 I keep you updated at every step, provide realistic timelines, and immediately address any hurdles. Even if you’re not technical, I’ll explain everything in plain language so you always know where your project stands. 𝟱. 𝗔𝗹𝘄𝗮𝘆𝘀 𝗣𝘂𝘁𝘁𝗶𝗻𝗴 𝗬𝗼𝘂 𝗙𝗶𝗿𝘀𝘁 My clients consistently give me 5-star ratings and glowing feedback. If your requirements stretch beyond my skill set, I’ll be transparent and let you know right away. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝟯𝗗 𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 For projects involving robotics, autonomous systems, or spatial analytics, I also build 3D perception pipelines using LiDAR, stereo cameras, and point clouds. This includes 3D object detection, Bird’s Eye View (BEV) transformations, and point cloud processing using deep learning. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝟭. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗣𝗜 𝗢𝗖𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Combined Google Vision, OpenAI, and AWS Rekognition to increase document extraction accuracy across noisy images. 𝟮. 𝗦𝗰𝗮𝗻𝗻𝗲𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗼 𝗘𝘅𝗰𝗲𝗹: Parsed key fields using Python + QwenVL and auto-generated Excel reports. 𝟯. 𝗟𝗶𝗰𝗲𝗻𝘀𝗲 𝗣𝗹𝗮𝘁𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: End-to-end system with YOLOv8 trained on custom dataset and deployed for inference 𝟰. 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗟𝗶𝗗𝗔𝗥 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 Built a 3D detection and tracking pipeline using LiDAR and camera data with 3D bounding boxes, frame-to-frame association, and 2D/3D visualizations for autonomous navigation. 𝟱. 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝗣𝗼𝗶𝗻𝘁 𝗖𝗹𝗼𝘂𝗱𝘀 Trained PointNet and voxel-based 3D CNNs on ShapeNet Core for point cloud segmentation and classification, including full preprocessing and model visualization. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 I work with Python, PyTorch, TensorFlow, OpenCV, YOLO, Open3D, and modern vision APIs (Google, AWS, OpenAI) to build detection, tracking, and OCR systems. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆 "Yacine is reliable, very good at his job, and very informative. He was able to set up a POC, identify the main pitfalls, and propose solutions independently." "Yacine is committed to provide high quality work. He knows what he's doing. It's a pleasure to work together. I recommend him for data mining and vision work." "Yacine always does a great job on any computer vision related task, he delivered the project very quickly. I will definitely rehire him again whenever needed." 📬 Let’s Talk Send a message describing your computer vision problem and the data you’re working with. If it’s a good fit, we’ll discuss the next steps.

I have proficiency with deep learning and data analytics. My expertise include: 1. Programming in python, R, MATLAB, Java, C, C++ 2. Data Science in python pandas, R, R studio, jupyter notebook 3. Data visualizations in D3.js, R shiny, ggplot2, python plotly, seaborn etc. 4. Neural network and deep learning in MATLAB, python, tensorflow/pytorch/keras 5. Machine Learning theory including Generalized linear models, EM algorithm, Graphical models, PCA, Approximate inference, HMM, Kalman filter, Boosting, Bagging, Decision trees etc. 6. Probability, Linear algebra, mathematical optimization 6. Machine learning applications including scikit-learn, R (caret), and implementations from scratch 7. Time series Analysis 8. Statistics: confidence intervals, p-value, hypothesis testing, linear regression, ANOVA etc. 9. Algorithm & data structures 10. Back-end in python (django/flask). Front-end (bootstrap, javascript, jquery)

AI Engineer specializing in Generative AI, Large Language Models (LLMs), multi-agent systems, machine learning, and computer vision. I help companies design and build 𝗟𝗟𝗠 applications, 𝗥𝗔𝗚 knowledge systems, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 workflows, and production-grade 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 systems using Python and modern AI frameworks. With 24+ years of experience in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 and deep-tech software engineering, I focus on building AI systems that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. I currently lead AI engineering department at Apriorit, a software R&D company with 400+ engineers, where we develop advanced AI systems for Cybersecurity, Healthcare, and FinTech. What I Build 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Predictive analytics and ML pipelines ↳ Fraud detection and anomaly detection ↳ Recommendation systems ↳ Data processing and feature engineering pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 / 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) knowledge systems ↳ 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 and enterprise AI 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ↳ 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for complex workflows ↳ 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 and evaluation ↳ Private / 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 for sensitive environments 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 ↳ OCR and document understanding ↳ Object detection and tracking ↳ Image classification and segmentation ↳ Medical imaging and industrial automation 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Privacy-preserving AI architectures ↳ Adversarial ML defense ↳ AI-driven cybersecurity analysis 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ↳ Generative AI / LLM • OpenAI, GPT-4, Llama 3, Mistral • LangChain, LlamaIndex • Hugging Face Transformers ↳ Machine Learning • Python, PyTorch, TensorFlow • Scikit-learn, Pandas ↳ Vector Search & RAG • Pinecone, Milvus, FAISS • Embeddings and semantic search ↳ Infrastructure • Docker, Kubernetes • AWS, GCP, Azure ↳ Computer Vision • OpenCV • YOLO • Vision Transformers 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 Secure RAG system enabling employees to search and interact with thousands of internal documents without data leakage. • 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Real-time machine learning platform detecting fraudulent transactions across high-volume payment streams. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 3D medical image processing system supporting diagnostic analysis with ~95% accuracy. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 AI agents coordinating information retrieval, analysis, and automated task execution within enterprise systems. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 • Security-first architecture (GDPR / HIPAA-ready) • Enterprise-grade engineering experience • Deep expertise in AI infrastructure, optimization, and system performance I focus on building AI systems that are reliable, scalable, and ready for real-world use. 𝘐𝘯𝘷𝘪𝘵𝘦 𝘮𝘦 𝘵𝘰 𝘺𝘰𝘶𝘳 𝘫𝘰𝘣 𝘧𝘰𝘳 𝘢 𝘱𝘳𝘦𝘭𝘪𝘮𝘪𝘯𝘢𝘳𝘺 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘺𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 𝘢𝘯𝘥 𝘧𝘦𝘢𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺.