I'm a highly skilled Aerospace Engineer with deep expertise in CFD, FEA, and advanced simulation techniques. I help businesses and researchers across various fields—including aerospace, automotive, energy, and industrial engineering—optimize performance, solve complex fluid-structure problems, and make data-driven design decisions. I use industry-standard tools like Ansys Fluent, CFX, Mechanical, OpenFOAM, MATLAB, and Python to deliver reliable, high-accuracy results tailored to your specific needs. Whether it's aerodynamic analysis, thermal simulation, structural integrity, or automation, I provide solutions that save time, reduce costs, and improve designs. Let’s work together to turn your technical challenges into smart, efficient solutions.

I am a Scientist researcher developer with experience in Neuroscience (PhD) and Biomedical Engineering (Msc.). My best skill and passion is programming data science solution in Matlab, R or Python. I have worked on Pattern recognition in time series, Brain-Computer interfaces and Computer Vision. I have programmed in Matlab, Python, R and C++ for testing many algorithm related to digital signal and image processing. The main projects I have worked on are: 1-Pattern recognition in time series, specifically in Capillary Electrophoresis data using Dynamic Time Warping and Wavelet analysis. The aim was developing of Matlab based software to achieve the alignment of many electropherograms with non-linear amplitude and time distortion in order to automate peak measurements. 2-EEG based Brain-Computer Interfaces. In my doctoral studies I did an internship at Dr. Guan Cuntai's Lab in the Institute for Infocomm Research in Singapore. I acquired experience in self-paced motor imagery detection using Common Spatial Patterns and SVM. Additionally, I worked on Visual Event Related Potential Classification to improve the P300 speller paradigm. 3-Feature extraction from Face videos and Physiological signals from Mahnob and DEAP dataset using SNN for emotion recognition. Face detection, Facial landmarks, HRV, frequency respiration, Temp, GSR, etc. 4-Time series pattern recognition and clustering in trading signals (candle sticks patterns) in R. Quantization, Documentation, Packaging, Vignettes, Rmarkdown. I taught Digital Biosignal and Image Processing Courses. I’m very familiar with several digital signal, image processing and pattern recognition techniques like wavelets analysis, sparse representation, sum of Gaussian representation, dynamic time warping, Artificial Neural Network and Support Vector Machines. Recently, I am very interested on Computer Vision. I have worked on automated measurement of the flexion of upper extremities using video analysis by contours tracking, I have also tried Deep Learning libraries (CNN) for object recognition using OPENCV in python.

I hold a Ph.D. in Optical Engineering, a Master’s in Physics, and a Postgraduate Diploma in Information Technology, along with dual bachelor’s degrees in Science and Education. Beyond academics, I specialize in creating clear, engaging, and professional educational content. My expertise includes: Developing technical articles supported by self-explanatory illustrations Designing academic graphics, worksheets, and tutorial-style videos Editing and preparing research papers, reports, and professional documents Building adaptive, AI-driven learning modules and personalized practice resources I actively apply AI tools in education and research, integrating them into curriculum development, data analysis, and content creation. My work connects traditional academic rigor with modern, technology-enhanced learning. Key Services: Academic Graphics, Illustrations, and LaTeX/MathJax Content Technical Writing, Articles, Blogs, and Research Support Data Analysis, Modeling, and Automation (Python, Matlab, AI-based tools) Curriculum and Worksheet Development with AI integration Data Collection, Annotation, and Preprocessing AI Automation I have published in peer-reviewed journals and bring the same attention to detail and precision to client projects. Whether developing research documents, designing graphics, or applying AI for education and analytics, I deliver results that are accurate, professional, and tailored to your needs.

I can design 3D CAD models according to your requirements using SolidWorks, Inventor and then can perform engineering simulations using ANSYS or COMSOL Multiphysics.

Hi, I'm Amir, an AI/ML Engineer and Machine Learning Developer with 9+ years of experience building intelligent systems for healthcare AI, genomics, and medical signal/image analysis. I help healthcare companies, clinics, biotech startups, and digital health platforms turn complex medical data, genomic data, physiological signals (EEG/ECG), or medical imaging (MRI/CT/X-ray), into reliable, production ready AI systems. My work spans the full stack: from research grade machine learning and deep learning models to scalable backend architecture clients can actually deploy in real clinical environments. What I bring to your project: 🔹 Genomic & Multi Omic Analysis: SNP interpretation, polygenic risk scoring (PRS), pathway analysis, drug gene interactions, and integration of lab, microbiome, and epigenetic data into unified bioinformatics pipelines 🔹 Medical Signal & Image AI: EEG and ECG signal processing (QRS detection, clustering, feature extraction), medical image analysis and classification (MRI, CT, X-ray) using CNNs, LSTMs, and YOLO based deep learning models 🔹 Full Stack AI Systems: FastAPI backend development paired with Next.js/TypeScript frontends, built with production grade security from day one: JWT authentication, data encryption, audit logging, and role based access control (RBAC) 🔹 LLM Integration & AI Agents: Multi model LLM architectures for clinical decision support, AI health assistants, and automated structured medical reporting (PDF generation, clinical summaries). I also design and build custom AI pipelines and autonomous agents using Python orchestration and multi model architectures for tasks like multi source data integration, automated decision support, and end to end workflow automation Selected work and published research: Sleep apnea detection using machine learning on wrist actigraphy signals with advanced feature extraction Skin cancer diagnosis using a reinforcement learning model, published in IEEE Autism spectrum disorder (ASD) detection system using machine learning, published in SN Computer Science Parkinson's disease and ADHD detection using CNN and LSTM based brain signal analysis Epilepsy and bipolar disorder classification using deep learning Bone fracture and lung disease detection using Inception v3 and Hough Transform Why work with me: I'm not just a model builder, I design end to end AI systems with the production, data security, and HIPAA compliance realities of healthcare data in mind, including Docker and cloud deployment. I've also published peer reviewed research in IEEE and SN Computer Science, and I serve as a peer reviewer for Frontiers in Neuroscience, so you're getting academic rigor combined with real software engineering experience. If your project involves medical signal processing, genomic or multi omic data analysis, medical imaging, clinical decision support systems, AI pipelines and agents, or building a full AI powered clinical or digital health platform, let's talk. I'd love to understand your goals and show you exactly how I'd approach it.

I'm a Generative AI Specialist with six years of experience in Artificial Intelligence. I am an expert in AI tools such as Stable Diffusion, Midjourney, DALL.E, Leonardo AI, Flux, and Krea AI. My Expertise 🧠💬🤖 PROMPT ENGINEERING | Well-designed and comprehensive prompts (Text to image, Image to Image, Text to Speech, Text to Video, Text to Code, Image to Text (captioning)). 📚🤖🎓 LEARNING TECHNIQUES | Supervised Learning (Regression, Support Vector Machine, K-Nearest Neighbor, Decision Tree, Neural Network) & Unsupervised Learning (Clustering, Principal Component Analysis) & Reinforced Learning & Few-shot Learning & Domain Transfer Learning. 🐍 PROGRAMMING LANGUAGES | Python, MATLAB, JavaScript, Node.js, HTML, CSS, C++ (Arduino-IDE). 🧩 COMPUTER VISION (DL/ML) FRAMEWORK | Pytorch, Tensorflow, Keras. 🧹DATA PROCESSING TOOLS | OpenCV, Pillow, Scikit-image, NLTK, Pandas, Numpy, Scipy, ImgAug. 🔍 FEATURE EXTRACTION TOOLS | Visual content (Sobel, Canny, Laplacian, Gabor, Local binary pattern, SURF, CNN, VGG16, ResNet, Inception, Optical flow) & Textual content (BERT, CLIP, BLIP, BOW). 📝 DATA ANNOTATION | Objective Assessment tools (CLIP, LLM, LabelImg, VGG Image Annotator, CVAT, PixLab, VIA, Audacity, scanNet) & Subjective Assessment methods (Single stimulus and multi stimulus GUI Website/mini app development). Key Strengths 💪 Priority to Client 💪 Love to Learn More 💪 Teamwork and Collaboration 💪 Professionalism and Excellent Communication 💪 Punctuality and Effective Time Management Why me? 💲 Huge computational resources (GPU) for your bigger data problems. 💲 Available for long-term collaboration. 💲 Skilled in delivering optimal AI solutions by carefully balancing economic feasibility, scalability, data integrity, accuracy, computational efficiency, and other critical factors to meet your needs.

"Empowering Innovation, One Circuit at a Time: Your Expert Partner in PCB Design, Schematics, and DIY Wizardry!" I am a dedicated Power Electronics and Embedded Engineer with a deep-rooted enthusiasm for designing efficient electrical systems. My journey in engineering has equipped me with a keen aptitude for developing innovative solutions that bridge the gap between hardware and software. With a proven track record in optimizing power architectures and programming embedded systems, I am committed to pushing the boundaries of technological advancements in this dynamic field. I can help with Embedded and Analog Circuit Design along with Schematic PCB design PCB fabrication for prototyping & Debugging (JLCPCB, PCBWAY, etc.) BOM sourcing and optimization(Mouser, Digikey, Arrow, LCSC, etc.) I would love to have regular meetings for milestone tracking and better project management.

I’m a highly experienced software developer, data engineer, and AI specialist who helps businesses and individuals streamline their operations, eliminate manual work, and extract more value from their data. I design custom software, automate workflows, perform data analyses, and integrate AI tools to create scalable solutions. Furthermore, I hold a bachelor’s degree in nuclear engineering with a minor in mathematics from Missouri S&T, which gives me a strong foundation in both technical problem-solving and analytical thinking. Tools & Platforms I Commonly Use: Programming: Python, JavaScript, SQL, Google Apps Script, MATLAB API Integration: n8n, Zapier, Make, Custom Code AI Integration: OpenAI (ChatGPT), Anthropic (Claude), Amazon Bedrock, Custom Code Cloud Services: Amazon Web Services, Google Cloud Platform, Microsoft Azure, Snowflake Frontend: Lovable, Replit, Appsmith Training & Media: Articulate Storyline 360, Rise 360, Adobe Premiere Pro, DaVinci Resolve, Microsoft Teams, Zoom If you're looking for smart, reliable solutions that save time and deliver real results, let’s connect.

I'm currently doing a Neuroscience PhD at the University of Tübingen, and work at the Max Planck Institute for Biological Cybernetics. I have a background in Biochemistry and Cognitive Science and a passion for Literature and History. Therefore I'm offering both data analysis and writing services, or a mixture of the two if the opportunity arises! While my work currently focuses on fMRI analysis, I've got wide ranging interests and experience which can hopefully be of help to you! I tend to be quick on the draw and my diverse background sometimes helps me see things from a different perspective to others and find novel solutions. So, what can I do for you?

An environment is far more than barriers and textures—it's a realm of vibrational fields that resonate deeply with your essential well-being. I'm an acoustic engineer who treats sound not as a problem to solve, but as a dimension to design. With experience spanning recording studios, worship spaces, residential buildings, and environmental assessments across three continents, I bring both technical precision and intuitive understanding to every project. MY APPROACH I work at the intersection of predictive modeling and real-world implementation: • 3D acoustic simulations • Sound isolation modeling • Environmental noise mapping • On-site measurements and model calibration Every project receives data-driven analysis—not assumptions. I simulate before I specify, measure before I conclude, and deliver reports that contractors can actually build from. WHAT I DELIVER → Recording & Mixing Studios: RT optimization, isolation design, modal analysis → Worship Spaces: Speech intelligibility (STI), treatment specification → Residential: STC/IIC predictions, flanking path analysis, facade glazing → Commercial: Environmental impact studies, noise compliance, HVAC assessment Let's design the silence between the notes.