Hire the Best TensorFlow Developers
in Bangladesh

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.

Highly skilled and motivated freelance Machine Learning Engineer with over 3 years of experience in the field. Proficient in building and deploying state-of-the-art machine learning models using TensorFlow and PyTorch. Strong background in deep learning and NLP, with expertise in data preprocessing, feature engineering, model selection, and hyperparameter tuning. Experienced in deploying models on serverless architectures and cloud platforms, as well as edge devices using TensorFlow Lite.

⭐⭐⭐⭐⭐ Turn your ideas into viable AI apps and services. ✅ Computer vision ✅ Deep Learning ✅ Image Processing ✅ Machine Learning ✅ Generative AI ✅ Web Scraping ✅ Data Analysis 🚀 Whether you're launching a new computer vision or machine learning project or enhancing an established one, I aim to provide solutions that perfectly align with your objectives. As an experienced machine learning and computer vision engineer, I make the connection between high academic standards and real-world use. My M.Tech experience, which is based on modern artificial intelligence principles, enables me to transform both cutting-edge research and tried-and-true machine learning and deep learning models into solutions that are specifically suited for your challenges. Check out my offered services: 💢 Computer Vision: Deep Learning, Image Classification, Object Detection, Object Tracking, Pose Detection, Image Segmentation, and Image Processing Focusing on: ☑️ Live Object Detection with Webcam ☑️ Face and person re-identification (ReID) ☑️ Image Processing | Edge detection ☑️ Single/Multiple Object Tracking CCTV ☑️ Single/Multiple Image Classification ☑️ Pose Estimation | KeyPoint Detection ☑️ Action Recognition ☑️ Python GUI development ☑️ Image segmentation (semantic and instance) ☑️ OCR Image to Text 💢 Machine Learning: Data Analytics, Data Science, Predictive Analytics, Recommendation Systems, Anomaly Detection, Healthcare, Finance, Marketing, and Sales Focusing on: ☑️ Web Scraping ☑️ Data Analysis and Visualization ☑️ Feature engineering ☑️ Predictive Modeling ☑️ Recommendation Systems ☑️ Anomaly Detection ☑️ Time Series Forecasting ☑️ Model Deployment and Integration ☑️ Custom Machine Learning Solutions 💢 Notable Project Expertise Computer Vision, Image Classification, Object Detection, Image Segmentation, Pose Detecton, Medical Data Analysis, Face Detection, Video Analysis, Machine Learning and Other Deep Learning Projects ☑️ Object Detection using YOLO-NAS/ YOLOv8/ YOLOv7 ☑️ Object Detection and Tracking using YOLO-NAS / YOLOv8 / YOLOv7 and SORT/ DeepSORT / Bytetrack ☑️ Object Segmentation using YOLOv8 ☑️ Object Detection and Segmentation using YOLO-NAS and Segment Anything Model ☑️ YOLOv8 Segmentation with Multiple Object Tracking ☑️ Grocery Items Detection in a Retail Store with YOLO-NAS / YOLOv8 / YOLOv7 ☑️ Personal Protective Equipment Detection using YOLO-NAS / YOLOv8 / YOLOv7 ☑️ Vehicle Analytics with YOLO-NAS / YOLOv8 / YOLOv7 ☑️ African Wildlife Animals Detection and Tracking Using YOLO-NAS / YOLOv8 / YOLOv7 and Bytetrack/ DeepSORT/ SORT. ☑️ Personal-Protective-Equipment Detection Using Deep Learning and Python (YOLOv7) ☑️ Underwater (Fish and its types) Detection Using YOLO-NAS /YOLOv8 / YOLOv7 ☑️ AI Personal Trainer (Pushup, Biceps & Crunch Counting) Using MediaPipe. ☑️ Automatic Number Plate Recognition using YOLO-NAS/YOLOv8/YOLOv7 and Tesseract OCR / Paddle OCR / EasyOCR ( Images & Videos) ☑️ Fish Eye Camera People Detection and Object Tracking Using Machine Learning ☑️ Heatmap generation Using EigenCam and Object Detection (YOLOv8, YOLOv5) ☑️ Object Detection Using Transformers (RT-DETR) ☑️ Tennis Shots Identification and Counting using YOLOv7 Pose Estimation and LSTM Model ☑️ Vehicle Intensity Heatmaps using YOLO-NAS / YOLOv8 / YOLOv7 ☑️ Real Time Sign Language Detection with YOLO-NAS/ YOLOv8 / YOLOv7 and Webcam ☑️ Plastic Bottles Counting on Manufacturing Lines with YOLO-NAS / YOLOv8 / YOLOv7 and Object Tracking using SORT / DeepSORT / ByteTrack ☑️ People Face Detection, Segmentation, and Blurring Using YOLOv8 ☑️ Fruits Detection on Custom Dataset Using YOLO-NAS / YOLOv8 / YOLOv7 ☑️ Football Player Detection and Tracking Using YOLO-NAS / YOLOv8 and SORT / DeepSORT / ByteTrack ☑️ Multiple streams of object tracking and object detection. ☑️ Traffic Lights Detection and Color Recognition using YOLO-NAS / YOLOv8 ☑️ People Counter using YOLOv8 and Object Tracking using SORT/ DeepSORT/ Bytetrack ☑️ Potholes Detection using YOLOv8 (Images & Videos) ☑️ Potholes Detection and Segmentation using YOLOv8 (Images & Videos) ☑️ Fire and Smoke Detection using YOLO-NAS/ YOLOv8/ YOLOv7 ☑️ Waste Detection using YOLO-NAS / YOLOv8 / YOLOv7 ☑️ Waste Detection and Segmentation using YOLOv8 ☑️ Traffic Watch: Automated Vehicle Direction Detection and Counting using YOLOv8 ☑️ Face Detection, Gender Classification, Counting, Tracking, Alert and Analytics ☑️ Helmet Detection and Segmentation using YOLOv8 ☑️ Cracks Segmentation using YOLOv8. ☑️ Car Velocity Calculation + Vehicles Counting (Entering and Leaving) ☑️ Web App: Vehicles Counting using YOLO-NAS/YOLOv8/YOLOv7 and SORT/DeepSORT/Bytetrack Object Tracking ☑️ Streamlit App to Count the Vehicles Entering and Leaving 💬 Send me a message so we can discuss your projects! 😊 Looking forward to working with you!

Presently pursuing my M.Sc. degree in Biomedical Engineering at Bangladesh University of Engineering and Technology, Bangladesh. I am currently working on biomedical signal processing and deep learning-based health informatics projects as an active member of the m-health lab. My other research interests include biomedical simulations, biomedical Instrumentation, and edge device optimization. I am pretty much proficient in python and Matlab programming.

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

I am passionate about data-driven discovery, and enjoy delving into complex conundrums to unlock novel insights that push the frontiers of research. With more than 5 years of experience it is indeed my pleasure to work in this environment. i am first ever double kaggle grandmaster of bangladesh and also a kaggle competition expert. My competition, kernels and discussion rankings in kaggle are inside top 1% but I would like to continue my Kaggle journey further and rise up to a competition GrandMaster rank. I am looking forward to collaborating and working with experts in the industry and pursue my passion for Data Science. My strengths and research interests are NLP, Multilingual NLP and computer vision.