Hire the Best Python Numpy Developers in California

Let's make the world healthier! I am a data/research scientist with 10+ years of deep involvement in neuroscience, biomedical engineering, and clinical research. My background includes digital signal processing, machine learning, statistical modeling & testing, and research design. Successfully-completed projects: 1. Automatic EEG artifact detection and editing 2. Time-series action recognition using acoustic and accelerometric data 3. Heartbeat-related ERP (HEP) visualization 4. ABX testing on food samples 5. Designing wearable sensors 6. Human performance analysis using PPG and GSR data 7. Heart-rate variability (HRV)-based clinical diagnosis 8. Implementing an online EEG/SSVEP-based brain-computer interface (BCI) 9. Automatic sleep-stage classification using deep neural network 10. Unsupervised clustering (Kmeans, UMAP) clinical data for individualized medicine 11. Academic research (50+ peer-reviewed articles, 3000+ citations, 100+ peer-reviews) Skillset: - Programming: Python, MATLAB, R, BigQuery - ML libraries: Scipy, Scikit-Learn, Pytorch, Pandas, Numpy - Data visualization: Matplotlib, ggplot2, Tableau - Electrophysiology: EEG (research-grade/wearable), ECG, EMG, EOG, PPG, GSR, accelerometer - Data acquisition: LabStramingLayer (LSL) - EEG analysis: EEGLAB, MNE - Version control: Github - Editing: LaTeX, BibTex

⌚ Available from 6am - 11 pm Pacific time 🚀 Skyrocket Your Business with Cutting-Edge AI Solutions! 🚀 🇺🇸🇪🇸 Bilingual I help businesses transform AI from an experiment into a measurable business advantage. Whether you need an AI-powered chatbot, a production-grade RAG system, intelligent automation, predictive analytics, or a scalable machine learning platform. I’ve worked across Generative AI, Data Science, Machine Learning, Analytics, and Data Engineering to help organizations automate workflows, improve decision-making, reduce operational costs, and create new revenue opportunities. What I Can Help You Build 🤖 Generative AI & LLM Solutions * RAG (Retrieval-Augmented Generation) systems * AI Agents & multi-agent workflows * GPT-4, Gemini, Claude, Llama, and Mistral applications * Custom copilots and knowledge assistants * Prompt engineering and model optimization * LLM evaluation, monitoring, and deployment 💬 AI Chatbots & Virtual Assistants * Customer support automation * Internal knowledge assistants * Conversational AI platforms * Dialogflow, Vertex AI, Botpress, and RASA solutions * CRM, API, and database integrations 📊 Data Science & Advanced Analytics * Predictive modeling and forecasting * Customer and business intelligence analytics * Dashboard development (Power BI, Tableau, Looker Studio) * Statistical analysis and experimentation * End-to-end machine learning pipelines 🔁 Data Engineering & Cloud Architecture * ETL/ELT pipeline development * Data warehouses and lakehouses * Snowflake, BigQuery, Redshift, and Databricks * Data quality, governance, and orchestration * Scalable cloud-native architectures 👁️ Computer Vision & NLP * OCR and document intelligence * Image classification and object detection * Sentiment analysis and text mining * Custom NLP workflows and automation Core Technologies AI & ML: OpenAI, GPT-4, Gemini, Claude, Llama, Mistral, LangChain, Hugging Face, TensorFlow, PyTorch Data & Analytics: Python, SQL, Spark, Tableau, Power BI, Looker Studio, dbt Cloud & Data Platforms: AWS, Google Cloud, Azure, Snowflake, BigQuery, Redshift, Databricks If you’re looking for a partner who can bridge business goals with technical execution and deliver production-ready AI solutions, let’s discuss your project.

I have 8 years of experience in Python development and my skills are listed below: - Web scrapers, bots, automation, web automation, scripting, API scripts, ETL; - Data extraction, data cleaning, data processing, data transformation; - Backend development, web apps with Flask, Django; - Frontend coding with HTML, CSS, Js; - Covering UI with selenium tests.

Machine learning scientist/engineer with hands-on expertise in deep learning, computer vision, time series, data analysis, computational science, mathematical modeling, computer simulations, algorithm development, and software development. ML -- computer vision: segmentation, classification, object detection, e.g., ViT, R-CNN, unet, yolo ML -- time-series: recurrent neural networks, convolutional neural networks, e.g., LSTM, GRU, CNN ML -- general: classification, regression, prediction Development of end-to-end ML pipelines: pre-processing, model development, post-processing, model evaluation, hyper-parameter turning, model deployment Applications: Medical imaging and devices, biofluids, fluid dynamics, combustion, renewable energy, computational engineering. Technical/non-technical writing: Patents, proposals, white papers, peer-reviewed papers, presentations. Education: PhD -- Applied Math (Cornell), Postdoctoral Fellow -- Chemical Engineering (MIT) Programming: Python, C++, Java, Matlab Machine Learning: Keras, Pytorch, Scikit-learn, TensorFlow NLP: NLTK, OpenNLP Computer Vision: OpenCV, Pillow, Pydicom, SimpleITK Data Science: Matplotlib, Numpy, Pandas, Scipy, Seaborn CAD/CFD: Ansys, Gmsh, OpenCascade, OpenFOAM, Overture, Rhino3D Misc: Amazon/Google cloud, DICOM, Git, Jira, UNIX tools/admin

Enterprise Software Architect and Fractional CTO passionate about solving intricate problems and skillfully mastering complex technical challenges. Creative thinker innovating digital tools, building blocks, and abstractions that segue into powerful, connected, and elegant systems. Expert at solving multifaceted, robust technical difficulties while maintaining a friendly, responsive, and business-oriented approach to projects. Understands both the full technical scope and business-side of obstacles with a knack for big-picture problem solving. Expert-Vetted on UpWork and Top Rated Plus with a 100% Job Success Score.

With years of experience in Python, Java, and Linux, I am passionate about leveraging technology to solve complex problems in the realm of data science, machine learning, and web scraping. I specialize in transforming raw data into valuable insights by building efficient workflows for data wrangling, cleaning, and analysis, often using tools like SQL, Jupyter, and Matplotlib. Since earning my BA, I have deepened my knowledge in computer science, earning certifications in topics such as machine learning and Python while working on advanced Java projects with frameworks like Spring and Spring Boot. Key Skills & Expertise: Web Scraping & Automation: Proficient in building scalable web scraping solutions using tools like Scrapy, with extensive experience in handling large-scale data extraction projects. Natural Language Processing (NLP): Expertise in designing custom pipelines for Named Entity Recognition (NER) and fine-tuning pre-trained NLP models using frameworks such as Hugging Face and GPT technologies. Machine Learning: Hands-on experience with supervised learning, data preprocessing, model training, and deployment, ensuring that machine learning models are optimized for real-world use cases. Cloud Infrastructure: Adept at deploying scalable data processing pipelines and distributed tasks on cloud platforms like AWS, ensuring seamless integration and efficient data extraction at scale. Data Analysis & Visualization: Experienced in wrangling and analyzing large datasets, delivering actionable insights using SQL, Jupyter, Matplotlib, and other visualization tools. What I Bring to the Table: A unique blend of software development, data engineering, and machine learning expertise. A focus on delivering high-quality, scalable solutions for complex data problems. A commitment to continuous learning and staying up-to-date with the latest tools and technologies in the field. Let’s work together to turn your data into actionable insights!