Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

I’m Muhammad Baqir, and I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLOv8, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLOv8 detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLOv8 · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

Hi! I’m an expert in Artificial Intelligence (AI) and Machine Learning (ML). I use tools like Python, ChatGPT and TensorFlow to build smart systems that save time, reduce manual work and improve your business operations. ✅ 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗳𝗼𝗿 𝘆𝗼𝘂: 🤖 Build AI chatbots using ChatGPT / OpenAI 📊 Create smart ML models for prediction, recommendation, and classification 🧠 Work with text data (summarization, sentiment analysis, keyword extraction, etc.) ⚙️ Automate daily tasks using Python scripts 🔧 Improve and fine-tune existing AI/ML models for better accuracy 🧰 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗜 𝗨𝘀𝗲: 💻 Languages & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn, FastAPI, Flask 🧠 AI & NLP: OpenAI (ChatGPT API), LangChain, Pinecone, Hugging Face, NLTK, SpaCy 🔄 Automation: Make.com, n8n, Zapier, Google Cloud Functions, Firebase, REST APIs 📂 Data Handling: Pandas, NumPy, SQL, JSON, CSV 🛠️ Dev Tools: Jupyter Notebook, Postman, Git, VS Code 🎯 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? ✅ I deliver easy-to-use, practical AI/ML solutions tailored to your needs 🧼 You’ll get clean code, fast delivery, and full support 💬 I keep communication simple and clear, so you always know what’s happening 🚀 Let’s build something smart together! Feel free to message me—I'm always ready to help. 𝗥𝗲𝗴𝗮𝗿𝗱'𝘀, Usama J. AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer,AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer,AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation, Prompt Engineer, LLM Expert, LLM, Chat GPT, Chat GPT Integration, Open AI API, GPT 4, Open AI GPT4, Voice AI, Voice AI Developer, LLM, LLM Backend Developer, Machine Learning, Machine Learning Developer, Machine Learning Expert, Machine Learning Engineer, ML, ML Expert, ML Automation, ChatBot, ChatBot Developer, AI Agent, AI Agent Developer, AI/ML, SaaS, AI SaaS Developer, AI, AI Developer, AI Engineer, AI Automation, N8N, N8N Automation.

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.

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

I am an AI/ML engineer with 3+ years building production machine-learning systems, backed by a research track record: two accepted peer-reviewed papers, a two-time Google Summer of Code contributor, and published GPU work. What I can build for you: • LLM & vision-language fine-tuning — QLoRA/PEFT, dataset creation, evaluation, deployment-ready inference. • Self-hosted & open-source LLM deployment — running models on your own GPU servers for privacy, control, and lower cost. • RAG systems & AI agents — retrieval grounded in your documents, data, and tools, with evaluation and monitoring so it stays reliable in production, not just in a demo. • GPU & scientific computing — CUDA/CuPy/JAX acceleration, profiling, and pipelines that process terabytes of data • Full-stack delivery — FastAPI backends, React/Electron front-ends, Docker/Kubernetes, so the model ships as a real product your team can run How I work: define the use case, build the smallest reliable version first, test the edge cases, document everything, and hand you code your team can maintain after the contract ends. Core stack: Python, PyTorch, Hugging Face, CUDA/CuPy, FastAPI, React, Docker, Kubernetes. I am Top Rated with 100% Job Success and I reply within a few hours. Tell me what you're trying to build and I will build it for you.

I'm a Machine/Deep Learning and Data Science expert in Python. I provide services related to Data Science, Machine Learning, and Deep Learning. I have done master's in computer science and 4 years of experience in Data Science and Machine/Deep Learning. I have multiple publications in different international journals and conferences. My aim and goal are to provide my customers with exactly what they want and required for their needs and to guide them throughout the process. Let's get in touch and start working on your Projects. Feel free to discuss your project-related queries.

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

Top Rated Plus AI Engineer Experienced in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, LLM, and Prompt Engineering I'm Vipul, an AI Engineer with 4+ years of experience building impactful AI solutions for SMEs and Fortune 500 companies. I excel in Generative AI, Machine Learning, Natural Language Processing (NLP), Large Language Model (LLM), and Computer Vision tasks, delivering cutting-edge solutions across various industries. My Experience & Skills: ✅ Helping clients create end-to-end AI solutions for their products to enhance their workflow and implement Automation. ✅ Building LLM-based chatbots that streamline interaction and enhance user experience. ✅ Building a full-stack application that delivers value. ✅ Designing and Implementing efficient, scalable, and cost-effective Cloud Architectures ✅ Setting up AWS environments, applications, and services in a scalable and observable manner. ✅ Building data pipelines for business insights and automation. ✅ Building recommendation systems that amplify user experience. Programming Skills: - Python (Numpy, Pandas, scikit-learn, TensorFlow, Keras, PyTorch) - MATLAB (Signal Processing Toolbox, Machine Learning Toolbox) Machine Learning Models: - Supervised Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, Support Vector Machines - Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis, Autoencoders - Deep Learning: Convolutional Neural Networks, Recurrent Neural Networks (LSTMs, GRUs), Generative Adversarial Networks - Large Language Models (LLMs): Fine-tuning and personalizing LLMs like GPT-3, BERT, and others on business-specific data for tasks like text generation, summarization, and question-answering. Tools and Platforms: - Data Visualization: Matplotlib, Seaborn, Plotly, Bokeh, Tableau - Big Data: Apache Spark, Hadoop, SQL (PostgreSQL, MySQL) - Cloud Platforms: Amazon Web Services (EC2, S3, SageMaker), Google Cloud Platform, Microsoft Azure - Version Control: Git, GitHub

I am a computer engineer and AI-focused backend developer with more than a decade of experience in education, research, and real-world system building. Since 2013, I have worked as a professor at Universidad Técnica del Norte, where I have taught computer engineering and helped grow many highly capable engineers now working in industry. Alongside teaching, I have continuously expanded my expertise in challenging areas such as artificial intelligence, machine learning, and large-scale system design, building a strong and practical technical foundation. My work sits at the intersection of AI, backend engineering, automation, and data. I help teams take unclear ideas, raw data, or manual workflows and turn them into clean, reliable, production-ready systems that work day to day. On the AI side, I focus on practical LLM applications rather than demos. This includes RAG pipelines, multi-agent systems, chatbots with memory, document processing, semantic search, classification, extraction, and automation workflows. I have hands-on experience with LangChain, Hugging Face, OpenAI, Claude, and vector databases such as Pinecone and FAISS, including fine-tuning when it makes sense. My priority is always usefulness, reliability, and maintainability. Backend engineering is a core strength. I design and build APIs, services, and data pipelines using Python with FastAPI, Flask, and Django. I care deeply about clean architecture, performance, and systems that are easy to extend and maintain over the long term. I also have a strong background in automation and data engineering. I have built web scrapers, crawlers, ETL pipelines, data cleaning systems, reporting tools, dashboards, and bots for years. My focus is on stability and resilience, not fragile scripts that break after a short time. Deployment and infrastructure are part of my workflow, not an afterthought. I regularly deploy and operate systems on AWS, GCP, and Azure, using Docker, CI/CD pipelines, and serverless or containerized architectures depending on the project’s needs. I have worked with universities, companies, startups, and individual founders, often acting as a technical partner rather than just a task-based freelancer. I take time to understand the business goal first, then design a technical solution that fits it. I joined Upwork in 2016 out of interest and haveused the platform just to enjoy my creative hobby projects such as design and visual work, not for my major. But always, I couldn't spare time for it. Over the years, I closely followed the platform’s growth and always wanted to collaborate with global clients. I recently retired from my academic-related work and can now dedicate myself to professional freelance activities. What you can expect when working with me: - production-ready AI and backend systems - clear communication and realistic estimates - strong ownership and responsibility - solutions designed to scale and last If you are looking for someone who can combine AI, backend engineering, automation, and data into one solid, dependable system, I would be glad to work with you.