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With a strong background in machine learning, computer vision, and natural language processing, I have consistently delivered real-world AI solutions across diverse industries. My professional journey spans multiple roles where I have developed and deployed intelligent systems for image and language understanding, focusing on accuracy, performance, and scalability. Currently working as a freelancer, I have built intelligent data extraction pipelines for financial applications by combining advanced computer vision and NLP methods to extract information from bank cheques with high precision. Additionally, I worked on a complex chatbot project addressing the limitations of large language models (LLMs), such as context window constraints. I implemented optimization strategies like history truncation, prompt summarization, and prompt caching, which significantly improved coherence, processing speed, and memory efficiency in generated responses. As a Data Science Fellow at Fellowship.AI, I developed a robust evaluation pipeline to measure confidence levels in LLM outputs using datasets like LiveBench and MMLU. I applied strong evaluation metrics such as Expected Calibration Error (ECE) and BERTScore and utilized stronger LLMs for benchmarking, providing valuable insights into model calibration and reliability. Previously, as a Computer Vision Engineer at Hello Llama, I played a pivotal role in building IoT-enabled safety solutions. I developed end-to-end ML pipelines and Android applications integrating BLE and real-time video streaming, designed to work with radar warnings and dashcam systems. My work focused on real-time object detection of urban infrastructure and safety violations, deploying models on NVIDIA Jetson Nano for low-latency, edge-based inference. I also created a custom helmet detection system with facial focus and chin-strap detection and used sensor mat data to recognize multiple riders on scooters. My responsibilities included complete development cycles—from data collection to annotation, model training, validation on unseen data, and deployment—with comprehensive testing to ensure robustness in production environments. Earlier in my career as a Machine Learning Engineer at Expert Consortium Ltd., I worked on automatic face recognition and liveness detection systems. I designed pipelines capable of distinguishing live individuals from photographs and automatically created datasets for unknown individuals by organizing webcam feeds, labeling them, and training recognition models using LBP. I also built a driver activity recognition system for behavioral monitoring and an object tracking tool that captured snapshots when specific spatial triggers were activated. I utilized GPU acceleration and RabbitMQ to ensure high performance and seamless message passing during training and inference. Throughout my experience, I have demonstrated a unique ability to bridge the gap between computer vision and natural language processing. I have built robust pipelines, optimized LLM performance, engineered edge-deployable vision systems, and created intelligent, real-time applications in safety, finance, and mobility. My strengths lie in developing production-ready ML systems, optimizing performance in resource-constrained environments, and delivering intelligent solutions that scale effectively and meet real-world demands. I have direct Experience working on following topics: C++ Python Scikit-learn Tensorflow Keras OpenCv Embedded device Aws Azure Flutter

Welcome to my profile 😊 🏆I am an experienced full-stack developer with a strong focus on creating dynamic web applications using React.js for the front end and Laravel with PHP for the back end. My expertise includes: I'm specialized in: 📌Complex web applications development (frontend / backend) 📌Website development from scratch 📌API servers (Laravel, PHP, .NET, WordPress, NodeJS, Python) 📌Single Page Applications (SPA) - ReactJS, VueJS (Nuxt), Redux, Typescript 📌Microservices / distributed / cloud-based web applications (.NET, NodeJS, PHP) 📌AI & Machine Learning: NLP, GPT, Computer Vision, Keras, PyTorch, TensorFlow, OpenCV 📌Data: Data Visualization (Power BI, Tableau), Data Pipelines, Data Lakes, Data Factory - Azure, AWS, Google ETL, ELT 📌Figma 📌Docker 📌GIT, Slack, Jira, Agile, SDLC I write clean code, am a goal-oriented type of person and am attentive to all details. React.js: Building responsive, user-friendly interfaces with a keen eye for detail and performance optimization. Laravel & PHP: Developing robust server-side applications, RESTful APIs, and seamless database interactions. Full-Stack Development: Managing projects from concept to deployment, ensuring smooth integration between front-end and back-end systems. Version Control: Proficient in Git for collaborative projects and maintaining code integrity. Problem-Solving: Strong analytical skills to troubleshoot issues and enhance application functionality. I am passionate about delivering high-quality solutions that meet client needs and exceed expectations. Let’s work together to bring your ideas to life!

Hello there!👋 I'm Sajal Das, a Machine Learning Engineer with 2+ years of expertise in ML research, Natural Language Processing, Image Processing and Deep Learning and Web Automation & Scraping. I am ML Engineer with: 🥇 2 years of experience. 🥇 20+ completed projects My services are: 👨🏻‍💻 Data Handling and Data Visualization 👨🏻‍💻 Machine Learning Model build 👨🏻‍💻 Deep Learning Model build 👨🏻‍💻 Interactive Python script 👨🏻‍💻 Model Integration with APIs (Python) 👨🏻‍💻 Browser Automation 👨🏻‍💻 Web Scraping and Data Extraction I work with the following libraries: 🎯 Data Handling: Pandas, Numpy, Scrapy, BeautifulSoup, Selenium 🎯 Visualization tools: Plotly, Seaborn and Matplotlib 🎯 Frameworks: TensorFlow, Keras, PyTorch, NLTk 🎯 Databases and Big Data: SQLite, PostgreSQL, Hadoop, Spark I put a lot of effort into: ✔ Effectively understanding the demands of your project ✔️ Regularly interact during the entire project ✔️ On-time delivery of quality Send me a message; I'm available and prepared to work right away.

A Mechanical Engineer Turned Programmer, specializing in DSA, AI/Machine Learning and Web Development with Python. I provide high-quality services in data science, web development, and API integrations. Skilled in Python, SQL, C and JavaScript. I focus on delivering accurate, efficient, and reliable solutions tailored to client requirements with professionalism and timely delivery. Library: NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, Keras, MCP, LangChain, HuggingFace, OpenCV and Django Mechanical Design: AutoCAD & SolidWorks

I am a Software Developer with 2+ years of professional experience, in Machine learning based tasks. My overall experience is based on - ✅ Skillset : ✔Computer vision : RCNN, Faster R-CNN, Mask R-CNN, YOLO, OpenPose, MediaPipe, DeepSORT, Template Matching, DiffMOT. ✔ Natural Language Processing NLP) : Topic Modelling, Keyword Extraction, Knowledge Graphs, Named Entity Recognition, Sentiment Analysis, Text Summarization. ✔ Generative AI : Fine tune Gemma-2 model, Fine tune Llama-3 model, Tracking Training with Perplexity, Retrieval Augmented Generation (RAG), RAG-with-SubQuestionQuery, RAGwith Multi-Query, RAG-Decomposition, RAG-withHyDE-Query-Transformation, RagFusion, RAG withStep-Back, RAG-with-Cohere-and-ReRank. ✔ Have experienced on publishing two Research paper in the field of machine learning.

I’m Mirza Abbas Uddin, a Machine Learning Engineer and passionate researcher with 1+ years of experience in AI, data science, computer vision, and NLP. I’ve successfully completed 30+ ML projects for global clients on Upwork and earned the Top Rated badge for consistent 5-star service. With strong academic and research backgrounds—including publications at IEEE and ACM conferences—I specialize in building intelligent, scalable solutions using Python, TensorFlow, PyTorch, and Hugging Face Transformers. In addition to my ML expertise, I’ve expanded my skill set into full-stack development using ASP.NET Core and Next.js, enabling me to build robust, production-ready web applications that seamlessly integrate machine learning models into real-world systems. Whether it’s training custom models, extracting insights from data, or developing end-to-end ML-powered applications with modern web technologies, I deliver results with precision and professionalism. Let’s collaborate to bring your AI ideas to life!