* Expert Vetted talent in Upwork with 100% job success rate. * I am looking for long term work in solving problems with Machine Learning solution. * I have been working on Machine Learning for over 5 years. * My area of expertise in Machine Learning area are: Computer Vision and NLP. * My live projects include: 'Detect Products of Super-market shelves', 'Detect sharp objects from x-ray image', various Image classification models like to classify inside/outside House, Shoes(of different materiel), 'Text classification' of various articles. * I have also worked on stock forecasting LSTM model using stock data and sentiment data. * I have a certification from Udacity in "Self Driving Car Engineer" Nano Degree

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

🎯 Send me a sample of your video or image data - I’ll outline the exact CV architecture to turn it into a production pipeline. Top 1% Computer Vision Engineer specializing in tracking, segmentation, and low-latency Edge AI. 🏅 Expert-Vetted Status on Upwork 🏆 Top 10 Machine Learning Agency ⚡ 25+ Production Systems Delivered Struggling to turn video or image data into reliable production AI? Over the last 7+ years, I’ve helped sports, industrial, satellite, and healthcare teams cut manual inspection time by 35%. Let’s build detection, tracking, segmentation, or edge AI that works in the real world. 🎯 HOW I CAN HELP YOU COMPUTER VISION SYSTEMS Turn visual data into accurate, production-ready outputs that improve decisions, automate manual review, and scale across real-world conditions. I build systems for detection, tracking, segmentation, pose estimation, and video analysis that stay robust under occlusion, low light, and multi-camera setups. SPORTS ANALYTICS AI Convert broadcast or field video into player tracking, ball trajectories, and performance metrics that help teams measure more and react faster. My sports systems have covered football, tennis, pickleball, and 3D ball tracking with calibration and real-time inference optimized for usable match insights. INDUSTRIAL INSPECTION AUTOMATION Reduce defects, speed up quality control, and catch issues before they hit production. I have delivered defect detection and segmentation systems for manufacturing use cases, including fabric defects, roof inspection, and image stitching pipelines for precision analysis. SATELLITE AND AERIAL IMAGE ANALYSIS Extract actionable intelligence from drone and satellite imagery to support infrastructure monitoring, mapping, and large-area inspection. I use YOLO-based detection and segmentation pipelines that handle sparse labels, variable resolution, and geospatial complexity. REAL-TIME EDGE AI DEPLOYMENT Get low-latency AI running on NVIDIA Jetson, cloud APIs, or embedded devices without sacrificing accuracy. I optimize models with TensorRT, ONNX, Docker, and C++ when needed, helping clients meet strict speed and hardware constraints in production. 🤝 𝗚𝗘𝗧 𝗜𝗡 𝗧𝗢𝗨𝗖𝗛 Message me on Upwork if you need a Computer Vision Engineer or Machine Learning Engineer to turn your idea into a production-ready AI system. I can help with a free consultation, scope the best approach, and move fast on your next build. I typically respond within 4 hours and can prioritize urgent projects. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I build computer vision systems with OpenCV and PyTorch, productionize machine learning models in TensorFlow, and deploy Python pipelines for real-time video analysis and image segmentation.

I am junior data scientist and computer vision expert having 3 years of research experience during the research work of MS. Have good expertise in Python environment and data science domain. Have good understanding of Various AI techniques like Image classification, Image segmentation, prediction and clustering of data. Have good skill set in Data science libraries like Scikit-learn and Keras. Have good experience in computer vision and performed various computer vision tasks like features extraction as well as features matching using OpenCV.

Experienced AI Developer | Published Researcher | Welcome to my profile! I'm an accomplished AI Developer with a strong academic background and practical experience in crafting innovative solutions. With a Master's degree in Electrical Engineering and two years of hands-on expertise, I bring a unique blend of academic rigor and industry know-how to every project. Strengths and Skills: My journey in the AI landscape has been marked by continuous learning and impactful contributions. I specialize in both machine learning and deep learning, allowing me to tackle a wide spectrum of challenges. From classification and regression problems to supervised and unsupervised learning, my skill set spans a diverse array of applications. I've excelled in image classification, image segmentation, and object detection, consistently delivering results that matter. Published Researcher: My dedication to advancing the field of AI is underscored by my three published research papers. These papers explore a range of topics, bridging the gap between theory and practice. This unique perspective enhances my ability to devise innovative strategies and deliver solutions that are rooted in academic insights. Deployment Expertise: Navigating the complexities of AI deployment is where experience truly shines. I've successfully deployed AI models on edge devices, ensuring optimal performance even in resource-constrained environments. Additionally, I'm well-versed in deploying models on cloud platforms, harnessing the power of scalability and accessibility. Deep Learning Frameworks and Expertise: I'm proficient in a variety of deep learning frameworks, including TensorFlow and PyTorch. My codebase is grounded in Python, allowing me to seamlessly implement, optimize, and fine-tune complex models. This fluency ensures that I can bring your AI vision to life effectively. If you're seeking an AI Developer who brings both academic depth and industry practicality to your project, I'd love to connect. Let's collaborate on creating solutions that redefine possibilities in the realm of AI.

I am a Senior AI Engineer specializing in building production-ready Generative AI solutions that drive business growth. From custom LLM architectures and RAG pipelines to intelligent automation, I help businesses transform complex data into actionable intelligence using state-of-the-art AI technologies. Specialized Technical Stack - Custom LLM/SLM Development: Building and architecting Large and Small Language Models tailored for specific business logic. - Fine-tuning: Expertise in optimizing LLMs and SLMs (LoRA, QLoRA) for niche domain performance. - Reinforcement Learning: Implementing DPO, GRPO, RLHF, and DQN to align models with human preferences and complex decision-making. - Workflow Orchestration: Managing long-running, reliable AI workflows using Temporal. - MLOps Ecosystem: Production lifecycle management with MLflow, Weights & Biases, Prefect, Kubeflow, and SageMaker. - Vector Databases & RAG: High-performance retrieval using Pinecone, PGVector, FAISS, Chroma, and MongoDB Atlas. - Agentic Frameworks: Building complex reasoning chains with LangChain and LlamaIndex. - Advanced AI Solutions: Custom NLP, Recommendation Systems (with RL), and Time Series Forecasting. - Voice Intelligence: Deploying real-time Voice Agents using LiveKit, Retell, and Vapi. - No-Code Automations: Rapid integration and workflow connecting via N8N and Make. - Deep Learning Frameworks: Expert-level development in TensorFlow and PyTorch. Core Expertise -Generative AI & LLM Development I design and deploy sophisticated AI systems using OpenAI (GPT-4), Llama 3, and Anthropic Claude. My focus is on creating high-performance applications that utilize fine-tuning, advanced embeddings, and the LangChain framework to deliver human-like reasoning and precision. -RAG Pipelines & Vector Databases I specialize in Retrieval-Augmented Generation (RAG) to eliminate AI hallucinations. I have extensive experience with Pinecone, Chroma, and FAISS, ensuring your AI has real-time access to your proprietary data with high retrieval accuracy. -AI Agents & Workflow Automation Beyond simple chatbots, I build autonomous AI Agents capable of using tools, executing code via CodeInterpreter API, and managing complex multi-step tasks to automate your business operations. Technical Proficiency AI and Machine Learning - LLMs: OpenAI GPT-4o, Llama 3, Groq, Mistral, Gemini - Frameworks: LangChain, LlamaIndex, LangServe, LangSmith - Vector Databases: Pinecone, ChromaDB, FAISS, Qdrant - Specialized Tools: Flowise AI, LangFlow, HuggingFace Transformers - Machine Learning: TensorFlow, Keras, PyTorch Data Engineering & OCR - Processing: Pandas, NumPy, Matplotlib, Seaborn - Web Scraping: Python, BeautifulSoup4, Selenium - Document Intelligence: OCR (Google Vision API, Pytesseract), PDF Extraction (pdfminer, fitz, tabula) Cloud & Deployment - Platforms: AWS (Sagemaker, Lambda), Google Cloud (Vertex AI), Azure, Heroku - Infrastructure: Node.js, Express.js, MongoDB, MySQL, Git, Docker Why me? - Strategic Solution Architecting: I don’t just write code; I build scalable architectures. I focus on cost-effective token management and low-latency responses to ensure your project is commercially viable and reliable. - Transparent and Proactive Communication: I provide regular updates, documentation, and strategic insights. My goal is a long-term partnership where I act as your technical thought partner, helping you stay ahead of the rapid AI curve. - Flexible and Result-Driven: I am available for full-time commitment and offer discounted rates for non-profit organizations and the education sector. I work within your specific budget and timeline to deliver high-ROI results. Are you ready to build a production-grade AI solution? Click the "Invite to Job" button or send a message to discuss your project requirements and how we can achieve your business goals.

I'm Vishwajeet Panda, a highly motivated and results-oriented tech professional with a passion for innovation and a proven track record of success. As a winner of the Smart India Hackathon in both 2022 and 2023, I possess strong technical expertise in Machine Learning (ML), Deep Learning (DL), and web development. My diverse skillset encompasses Python, TensorFlow, Keras, Scikit-learn, and more. I also have experience with MLOps, Flask, OpenCV,and web development frameworks. Here's what sets me apart: * My victories in Hackathons showcase my ability to tackle complex challenges and deliver innovative solutions, in tight deadlines. * My top priority is high quality work and I thrive on building successful partnerships and exceeding expectations. Ready to discuss your project? Leveraging my skills and experience to bring your vision to life. Contact me today to discuss how I can contribute to your success. Email: panda18vishu@gmail.com

Top 1% Upwork specialist in AI & Embedded Systems. I architect and build solutions using LLMs, CV, and C++/Qt on Nvidia Jetson. My focus is turning your ambitious vision into a reliable, high-performance product. As a Georgia Tech graduate with over 10 years of hands-on experience, including foundational work in the autonomous driving sector of German automotive industry, I partner directly with clients to solve their toughest technological challenges. I am committed to writing clean, efficient, and test-driven code, ensuring your project is built for scalability and long-term success. Here's where my expertise lies: ✅ Intelligent AI, LLM & Agentic Systems Generative AI & LLMs: I architect advanced solutions using the OpenAI API, Gemini, Llama 3, and custom models, specializing in Retrieval-Augmented Generation (RAG) for powerful, context-aware applications. Agentic AI: I build autonomous AI agents that can reason, plan, and execute complex tasks. Full-Stack ML: I manage the entire machine learning lifecycle, from data processing and model training (YOLO, TensorFlow, PyTorch) to robust deployment. ✅ High-Performance Computer Vision (CV) Algorithm Optimization: I have proven experience in optimizing state-of-the-art detection, tracking, and stereo vision algorithms for maximum performance on edge devices. OpenCV, NVIDIA Jetson & DeepStream: My expertise includes deploying real-time vision applications using the complete NVIDIA toolkit, including FFMPEG, GStreamer, TensorRT and DeepStream. ✅ Robust Embedded Systems & Software C++ & Qt Development: I craft high-performance, cross-platform applications with clean C++ and the Qt framework. Embedded Linux & Hardware: I am highly adept at developing for a wide range of platforms, including ROS, Nvidia Jetson, STM32/STM32MP1, Raspberry Pi, and BeagleBone. Protocol Specialist: I have worked on numerous communication protocols like CAN, CANFD, SomeIP, TAPI, Flexray, RSMP, BACnet, OPCUA, MQTT, TCP/IP, UDP/IP, RSTP, ONVIF and many others. When you hire me, you are partnering with a dedicated, top-rated expert who is personally invested in delivering results.

I've been programming for 25 years. I exited my venture backed YCombinator AI startup so I know how to balance technical and business requirements. I'm a computer vision & machine learning expert with a Masters degree in statistics. I have won awards for A.I. projects with Mercedes-Benz, NTT Japan, Lloyd's Register London and more. I have given talks on computer vision at conferences around the world, including keynotes on computer vision at PyCon and the Google Developer Conference. I have extensive applied experience with: * Computer Vision * Large Language Models (LLMs) * Supervised Learning * Unsupervised Learning * Reinforcement Learning * Natural Language Processing (NLP) * Neural Networks * Generative Adversarial Networks (GANs) * Transfer Learning * Dimensionality Reduction * Ensemble Methods And have extensive experience with the following tools: * TensorFlow * PyTorch * Scikit-Learn * Keras * Hugging Face Transformers * YOLO (You Only Look Once) * LangChain * XGBoost * OpenCV * LightGBM * PaddleOCR / Tesseract I build end-to-end full-stack solutions with APIs / Interfaces and are fully deployed with stable cloud infrastructure where required. Looking forward to working together :)

I love building solution for computer vision problems, implementing machine learning methods, developing efficient program to solve complex tasks, and of course, making things in the world of electronics. I am feeling extremely passionate on details, with senses of art . For more than 10 years, computer programming has already been in my "list of routine activity". I am currently working to realize commercial-based smart vision system.