Hire the Best TensorFlow Developers
in Bangladesh

Hi, I'm Taz — a versatile and experienced programmer with a strong passion for development and innovation. Over the years, I have honed my skills across a wide range of fields, including Web Scraping & Crawling, API Development, Python Scripting, Automation, Image Processing, and Computer Vision. My true enthusiasm lies in the fascinating world of Data Science, particularly in solving complex problems within Machine Learning and Computer Vision. I am proficient in a variety of programming languages and libraries, enabling me to approach challenges with a diverse toolkit: Programming Languages: #C, #C++, #Python, #JavaScript Image Processing Libraries: #OpenCV, #Scikit-image, #Pillow Machine Learning & Computer Vision Frameworks: #TensorFlow, #Keras, #Scikit-learn Scraping & Automation Frameworks: #Selenium, #Scrapy, #PlayWright, #BeautifulSoup Web Frameworks: #Flask, #Django, #React, #Laravel I thrive on working on creative and challenging projects, particularly in Machine Learning, Computer Vision, Image Processing, and Web Programming. Whether it's developing innovative AI models, automating processes, or building dynamic web applications, I’m eager to push the boundaries and deliver impactful solutions. If you're looking for someone to tackle your next big idea or project, I’d love to collaborate and bring it to life!

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 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.

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.

💡Machine Learning Engineer with Expertise in Computer Vision, Deep Learning, Natural Language Processing, Generative AI, AWS cloud services and more!💡 Greetings, I bring over four years of expertise in machine learning and AI, specializing in cutting-edge ML, Deep Learning, and Computer Vision domains. My proficiency spans diverse AI areas, including Computer Vision, Deep Learning, Natural Language Processing, Reinforcement Learning, Generative AI, and LLM. I've strategically applied AI in medicine, academics, sports, and industry, streamlining processes such as data annotation, model training, and deployment. Let's collaborate to elevate your projects with innovative AI solutions. 🌟 Key Services: - Data Cleaning & Preprocessing - Data Scraping & Annotation - Deep Learning Model Training & Optimization - Custom Data and Model Building, Training & Integration - Actionable Recommendations & Insights - Language Vision Models(LLaVa,etc) - GPT-3/4-based agent workflows - Prompt Engineering - API Endpoint Development & Integration 💡 Projects: - Tennis serve Detection - Object Counting and direction detection - Face Mask Detection - Plant Disease Detection - Smart attendance using Face Recognition - Artificial Face emotion generation - Image Tag Detection - Bengali Handwritten Grapheme Classification - Leaf Disease Classification - kidney functional tissue units (FTUs) detection - Hungry Geese agent training 🚀 Expertise: - ML Frameworks: PyTorch, Tensorflow, PyTorchLightning - API Frameworks: FastAPI, Flask - Computer Vision (CNN, Yolo, Yolo-nas, Faster/Fast-RCNNs, ResNet, MobileNet, DeepSort, Semantic & Instance Segmentation, BotSort, Bytetracker, Vision Transformer, etc.) - GANs, Audio Classification, Recommendation & Forecasting Models, Text-to-Speech, Speech-to-Text, Supervised and Unsupervied ML, Reinforcement Learning - BERT, Transformers, GPT-3/4, ChatGPT, Langchain - CLIP, DALL-E, Stable Diffusion, Image-to-Text, Text-to-Image, StyleGAN, CycleGAN - AWS Services (Textract, Rekognition, etc.) - NLP, Time Series Analysis, Machine Learning Algorithm Integration - Amazon SageMaker, Textract, Transcribe, Translate, Rekognition, Comprehend - AWS S3, AWS Lambda, EC2 machine, SNS, SQS, CodeBuild, VPC - GCP compute Engine, GCP VPC - PostgreSQL database, AWS dynamodb, MySQL 🛠 Technical Skills: - Languages: Python, C++, Reactjs - Libraries: OpenCV, Numpy, Scikit-Learn, Matplotlib, SciPy, Pandas, Spacy, NLTK, XGBoost - Version Control: GIT, Github, Bitbucket - Analysis: Statistics, Calculus, Classification/Clustering, Machine Learning, Deep Learning - Methodologies: Scrum, Kanban, TDD - CI/CD: Github Action, Jenkins, Kubernetes - Other: Linux, Strong Problem Solving Background Thank you for considering my profile. I'm passionate about the endless possibilities of machine learning to solve real-world challenges. If you're ready to bring your AI ideas to life, let's connect. I'm eager to discuss your project and how my expertise can contribute to your success. Don't hesitate to reach out—I'm here to help you innovate and make your vision a reality🚀.