Hire the Best OpenCV Developers
in India

✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

I am a software developer with 13+ years of experience in building high-performance, cross-platform desktop applications using Qt/C++ and PyQt. I specialize in desktop software for video streaming, computer vision, and AI-powered solutions, delivering efficient, scalable, and user-friendly applications for Windows, Linux, and macOS. My expertise includes: Desktop Application Development: Qt, PyQt, cross-platform UI/UX, backend logic, networking Computer Vision & AI: OpenCV, TensorFlow, Keras, real-time object detection, face recognition Video Streaming & Processing: FFMPEG, OpenRTSP, live camera streaming, playback, recording WebRTC & Web Integration: Real-time audio/video apps, chat, and web interfaces Database & Backend: MySQL, PHP, server-side scripting, automation I focus on delivering high-quality solutions that solve real-world problems, optimize performance, and provide seamless user experiences. I am available for short-term projects, long-term contracts, and ongoing support.

Hello, I'm Ashish Raghani. I am always energetic and eager to learn new skills. I am flexible in my working hours, being able to work evenings and weekends. PERSONAL PROJECTS Computer Vision YOLO based object detection, tracking, classification and segmentation using pre-trained and custom trained models. Converting models to optimized it from pytorch, tensorflow to onnx, openvino, TensorRT etc. Natural Language Processing (NLP) Created chatbot/smart assistant which can help users for their queries.

With 10 years of Software Development experience, I specialize in building complex, high-performance applications that stand out in the App Store. My apps—including Color Changer Camera, Vocal Trainer—have attracted over 1 million users worldwide. I bring deep technical expertise in areas that go beyond standard UI development, including real-time image processing, augmented reality, high-performance graphics (Metal, OpenGL), and audio/DSP integrations (MIDI, pitch detection). What I bring to your project: 10 Years of Mobile Excellence: Clean, maintainable, and scalable code for iOS and Android. Specialized Skillsets: Advanced knowledge of AR, real-time rendering, and complex audio logic. A Founder’s Mindset: I treat your app like my own. Having built and managed multiple apps with 500k+ users, I provide strategic insights into architecture, performance optimization, and user retention.

Experienced in building scalable real-time video intelligence systems — from traffic analytics to sports performance tracking, OCR, Speech Processing, and LLMs. With 5 years of expertise in real-time video analytics, document automation, and AI-driven insights, I leverage top technologies like Pytorch, TensorFlow, Deepstream, OpenCV, DeepSpeech, and Hugging Face to deliver scalable, intelligent systems. Let’s transform your vision into reality! 🚀 🔧 Tech Stack : 💻 Computer Vision and Video Analytics 🔹 OpenCV 🔹 TensorFlow 🔹 PyTorch 🔹 YOLO (You Only Look Once) 🔹 MMPose (Pose Estimation) 🔹 GStreamer (Video Processing) 📄 OCR and Document Processing 🔹 Tesseract OCR 🔹 EasyOCR 🔹 Pytesseract 🔹 Google Cloud Vision API 🔹 AWS Textract 🤖 RAG and LLMs (Large Language Models) 🔹 OpenAI GPT-3/4 🔹 Hugging Face Transformers 🔹 LangChain 🔹 Pinecone (Vector Database) 🔹 LLamaIndex 🔹 Ray (Distributed Computing for LLMs) 🎤 Speech Processing and Speech-to-Text 🔹 Google Speech-to-Text 🔹 Amazon Transcribe 🔹 Microsoft Azure Speech Service 🔹 DeepSpeech (Mozilla) 🔹 Coqui 🔹 Whisper (OpenAI) ⚙️ Deep Learning & Hardware Acceleration 🔹 CUDA (GPU Acceleration) 🔹 TensorRT 🔹 NVIDIA DeepStream SDK 🔹 OpenVINO 🔹 Jetson Nano (Edge Computing) 🔹 EdgeTPU 🌐 Cloud, Deployment, and DevOps 🔹 Docker 🔹 Kubernetes 🔹 AWS S3 🔹 GCP AI Platform 🔹 Jenkins 🛠️ Previous Projects : 1. AI-Powered Smart City Traffic Management System 🚦🚘 2. Smart Factory Monitoring and Safety System 🏭🚧 3. Voice-Activated Medical Transcription System 🩺📝 4. Multimodal Document Understanding and Automation 📄🤖 5. Personalized Virtual Assistant for Customer Support 🎙️💬 6. Real-Time Sports Analytics and Player Performance Tracker ⚽📊 7. Smart Home Surveillance and Intruder Detection 🏡🎥 8. AI-Powered Healthcare Data Extraction and Analysis 🏥📈 9. AI-Driven Financial Document Automation 💼📑 10. Real-Time Video Surveillance for Compliance in Factories 🎥🏭 🚀 Let’s Build the Future Together! With my extensive experience in deploying AI-driven solutions across multiple domains, I'm ready to take your projects to the next level. From Computer Vision to LLMs and OCR, I bring a passion for innovative technology and a track record of delivering high-impact solutions. Let’s transform your ideas into reality and drive success together!

I am a Top 3 percent developer on Upwork with the Pink badge, helping clients build native mobile apps that feel smooth, reliable, and truly built for the platform. I build end-to-end AI and machine learning systems that move from research-grade models to production-ready, scalable solutions. My work focuses on combining deep learning, data pipelines, and deployment infrastructure to deliver systems that are accurate, efficient, and reliable in real-world environments. I specialize in designing solutions where models are not isolated components but part of a larger intelligent system architecture. 🔹 Core Expertise Machine Learning & Deep Learning Supervised and unsupervised learning, classification, regression, clustering Deep learning architectures including CNNs, RNNs, Transformers Model optimization, hyperparameter tuning, and performance benchmarking Training pipelines for structured, unstructured, and multimodal data Computer Vision Image classification, object detection, segmentation, and tracking Architectures like YOLO, ResNet, EfficientNet, Vision Transformers Video analytics and real-time inference systems Data augmentation, annotation workflows, and dataset engineering Natural Language Processing Text classification, entity recognition, summarization, and semantic search Transformer-based models like BERT, GPT, and custom fine-tuned models Embedding generation and similarity-based retrieval systems End-to-end NLP pipelines for enterprise use cases 🔹 AI System Engineering I focus heavily on how models behave outside notebooks and inside production systems. Data preprocessing pipelines and feature engineering workflows Batch and real-time inference architectures API-based model serving using FastAPI and Flask Microservices-based AI system design Integration with external systems like CRMs, SaaS platforms, and analytics tools 🔹 Model Deployment & MLOps Model deployment on AWS, GCP, and Azure with scalable infrastructure Containerization using Docker and orchestration using Kubernetes CI/CD pipelines for automated training, testing, and deployment Model versioning, monitoring, and performance tracking Handling concept drift, retraining strategies, and lifecycle management 🔹 What I Build Computer vision systems for detection, tracking, and visual intelligence NLP systems for document processing, search, and conversational understanding End-to-end ML pipelines from data ingestion to model deployment Real-time AI systems with low latency and high throughput AI-powered applications integrated into web and mobile platforms 🔹 My Approach I treat every project as a production system from day one. Focus on scalability, reliability, and maintainability Design for edge cases and noisy real-world data Balance model accuracy with latency and cost constraints Build modular pipelines that can evolve over time 🔹 Differentiation Strong combination of deep learning expertise and engineering execution Experience handling real-world data challenges like imbalance, noise, and scale Ability to convert research ideas into deployable systems End-to-end ownership from data to deployment 🔹 Tech Stack Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, Hugging Face, FastAPI, Flask, Docker, Kubernetes, AWS, GCP, Azure If you are looking to build robust AI systems, not just models, I can help you design, develop, and deploy solutions that work reliably at scale. Let us build intelligent systems that perform beyond the lab.