Hire the Best AISC Freelancers
in Bangladesh

I am a graduate Civil Engineer with more than 12 years of experience in DETAILING and ESTIMATING of STEEL STRUCTURES of USA(AISC). I have completed many projects of MAIN/STRUCTURAL and MISC/ARCHITECTURAL steel with success. I have good knowledge about the processes and materials of US steel construction. I can produce Site/Erection/Field drawings and Shop/Fabrication drawings for APPROVAL and for FABRICATION. I use AutoCAD and Teklastructures for the jobs and I am a good operator and administrator of the softwares as well. For AutoCAD projects I provide PDF & dwg files and for Tekla projects I provide 3D Model, MIS(kiss/dstv/xml/eje) file, PDF for GA, Assembly and Single-part drawings and DXF and CNC(.nc1) files of the single parts. I also provide various reports of the projects like Material-List, Cutting-List, Shop-Bolt/Field-Bolt List etc and snap shots of the 3D Model per client's requirement. During this long years of experience I have acquired expertise to find out required datas/information for the jobs and how to collect the missing information from the design teams writing RFI (text/sketch). I have a sound set up of hardwares (network of 10 coputers, A3 printer, A3 scanner etc. and internet connection) and softwares and follow proper process of checking on the paper print to make the projects error-free. My work stations have multiple monitors that makes the work comfortable and imparts its role in project accuracy and speed. I am a full time freelancer and provide real time back-up during the US working hours during the morning half. I like to bid the projects on FIXED PRICE basis. I always keep a positive attitude to the works and clients and try to avoid negative activities. If you see my upwork profile you will see that I have completed more than 200 projects of steel detailing. I am a TOP RATED FREELANCER on up work for a long time. Link: upwork.com/o/profiles/users/~0193dcbcb061d16dca/ You can have a glance on fb.com/nidetailing. Thank You.

I am a researcher specializing in biologically-inspired artificial intelligence and robust neural network architectures. My work bridges neuroscience principles with machine learning, focusing on developing systems that exhibit the stability and resilience characteristic of biological intelligence. I approach research with commitment to both theoretical rigor and practical impact, developing methods that are grounded in biological principles while addressing fundamental limitations in current artificial neural networks. Research Interests My research program centers on creating artificial intelligence systems that embody principles of biological robustness and adaptability: Biologically-Inspired Neural Architectures Developing neural network layers and systems that incorporate homeostatic regulation, self-repair mechanisms, and multi-scale temporal dynamics inspired by biological nervous systems. Robust and Resilient AI Systems Addressing the brittleness of artificial neural networks through bio-inspired stability mechanisms that enable consistent performance under perturbations, distribution shifts, and adverse conditions. Multi-Scale Temporal Coordination Investigating how coordination across multiple temporal scales—from milliseconds to hours—can enhance the efficiency, stability, and recovery capabilities of artificial neural systems. Neuromorphic and Brain-Inspired Computing Translating principles from neuroscience and evolutionary biology into computational frameworks that advance the capabilities of artificial intelligence. General AI Agent Systems Building integrated platforms combining LLMs, computer vision, and researching multi-agent collaboration, developing cross-domain knowledge transfer, and creating benchmarks for general AI capabilities. Combined Technology Applications I am actively pioneering applications that merge these research areas, focusing on healthcare diagnostics, intelligent manufacturing, personalized education, and environmental monitoring.

I'm a Machine Learning Engineer with a 2.5+ years of experience. I have passion for data cleaning and creating models that make a difference in people's lives. I specialize in OCR systems, Medical Image Analysis, Raw Data Analysis, Data Cleaning, Generative AI and any Computer Vision related works. I have extensive experience with Python, Flask, Pandas, Scikit-Learn, PyTorch. I have expertise in ComfyUI, Custom Node Management, LoRa fine tuning of Stable Diffusion and Flux, Consistent character generation, Text2Img, Img2Img, Text2Video, Img2Video, Image Enhancing, Image Upscaling and many more. I also have skills on CrewAI for AI Agent development.

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!

I am a Biomedical Engineering undergraduate with a strong focus on applying Artificial Intelligence and Deep Learning to healthcare challenges. My work combines Python programming, machine learning, computer vision, and biomedical engineering to develop practical, research-oriented solutions. My experience includes medical image preprocessing, deep learning workflows, data analysis, and computer vision using Python, NumPy, Pandas, Scikit-learn, TensorFlow, and OpenCV. I have worked on projects involving diabetic retinopathy detection from retinal fundus images, image preprocessing and augmentation, exploratory data analysis (EDA), and model development following reproducible research practices. Beyond AI, I have experience with biomedical signal processing, Arduino-based biomedical systems, and technical research support, allowing me to bridge software and healthcare applications. I am comfortable working with Jupyter Notebook, Google Colab, Git, and Kaggle environments. I value clear communication, clean and well-documented code, and delivering reliable results on time. Whether you need assistance with medical AI, computer vision, biomedical data analysis, Python development, or research support, I am committed to providing high-quality work and continuous collaboration throughout your project. Skills: • Python • Machine Learning • Deep Learning • Computer Vision • Medical Imaging • TensorFlow • OpenCV • Scikit-learn • NumPy • Pandas • Biomedical Engineering • Data Analysis • Research Support • Arduino I’m ready to take the assessments and contribute high-quality work for your AI training projects. Let’s get started!🚀 📩 Let’s discuss your project – I’m ready to help!