Hire the Best Artificial Neural Networks Experts
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Top 1% Expert-Vetted Freelancer. I have a PhD in Computer Science (AI & Machine Learning) and I am a physician. I build custom AI systems with proprietary and public data, including creation of novel datasets and state-of-the-art models. * After a 30-minute to 1-hour initial meeting, I'll craft a clearly written report outlining a unique AI strategy for your project. * For long-term engagements, I implement AI solutions end-to-end, including data collection, data cleaning, novel model design, model implementation and training in Python, and iteration on the modeling and data strategy to achieve excellent performance. * One of my specialties is creating custom models for proprietary datasets, including images, videos, audio recordings, and domain-specific data. Book a 30-minute consultation with me to get immediate answers about your AI project: - How can you leverage AI in your organization? - What kind of AI do you need to solve a particular problem? - Should you use a model like ChatGPT/Claude or do you need a custom model? - What modeling strategy should you use? - How should you collect and annotate data? - How much data will you need? - How should you measure performance? After a consultation I’ll craft a clearly-written report outlining an AI strategy for your project. Specialties: Healthcare AI: I am an expert in healthcare AI, with a unique background that blends clinical understanding from my MD, deep technical expertise from my AI PhD, and business experience. I have completed 100+ engagements across medical specialties including radiology, dermatology, cardiology, mental health, family medicine, surgery, dentistry, physical therapy, women’s health, pediatrics, nutrition, and neurology. I have created datasets and custom models for diverse forms of biomedical data including x-rays, CTs, MRIs, clinical photographs, patient videos, medical audio, medical notes, EHR data, insurance claims, omics data, and more. Computer Vision: I create custom AI models for 2D images, 3D images, and videos on proprietary datasets. I am excited about projects from multiple industries including healthcare, manufacturing, automotive, and agriculture. I have extensive experience with classification, object detection, segmentation, and keypoint detection, to identify and localize abnormalities or features of interest. I developed the first machine learning model in the world to predict multiple abnormalities simultaneously from a CT scan. For a dermatology practice, I built the first CV model to predict Fitzpatrick skin type, pigmentation, redness, and wrinkle severity (mean accuracy 85%)—now a core model at Kesty AI. Artificial Intelligence R&D: I have led multiple AI research projects across industry and academia. I have developed novel AI methods, including HiResCAM, a convolutional neural network explanation method with mathematical guarantees. I have published original research across multiple areas of AI, including computer vision, natural language processing, explainable AI, expert systems, and applied AI. My research papers have been cited over 1,000 times. My healthcare AI blog Glass Box has over 700,000 readers from 185 countries. Natural Language Processing (NLP): I have a deep understanding of large language models (LLMs) like Claude, Gemini, ChatGPT, and Llama. I have leveraged Transformers and other NLP techniques for numerous applications, including customized chatbots, medical note generation, and structured information extraction. Advising Entrepreneurs: Before focusing on AI consulting, I spent seven years as the founder of a health AI startup. I led my previous company from concept to deployed B2B SaaS product serving medical practices. Our AI history-taking assistant and AI scribe saved clinicians 2+ hours daily. I managed engineering teams of 5-10 (60+ contributors), secured two U.S. patents, and raised competitive grant funding. I enjoy working with entrepreneurs and discussing pitch decks, fundraising, customer discovery, designing an MVP, and evaluating the ROI of an AI product. If you’d like to talk with me about your AI project, please feel free to send me a message or book a consultation using the link on my profile.

Top 1% Expert Vetted. Ten years of professional experience in Machine Learning and Data Science. Degrees in Physics and Math with honors. Lead Scientist for a profitable startup. I've built numerous Machine Learning systems with both Keras and Pytorch. I've trained hundreds of models in both NLP and Image recognition tasks in python. I can help make your Machine Learning project a success. I've created Deep Convolutional Neural Networks to identify objects in images and LSTMs to process text in legal documents. I've helped profitable businesses cut costs by up to 80% and helped new ones create the products they dream about. Let's make something great together!

I am a top-rated freelancer specialized in delivering AI, machine learning, and data-based software solutions to startups and small businesses. If you have an AI/ML-related business problem to discuss, please send me a direct message or book a consultation call from the link at the bottom of my profile. Overview of my experience: ⭐ Hundreds of 5-star reviews from freelance clients for artificial intelligence and machine learning projects over the past four years 🏅 Awarded Upwork's Expert-Vetted (top 1%) badge and was recently featured as a freelancer success story (upwork.com/success-stories/nick-gallo-computer-scientist) 🎓 PhD in AI and Machine Learning with a thesis on approximate inference in probabilistic graphical models (linked in portfolio below) 🪖 Extensive experience developing AI/ML solutions for homeland security applications at MIT Lincoln Lab, including a computer vision video summarization tool that resulted in a patent (also linked in portfolio) Services I offer: 📹 Consultation calls: One-on-one video call to determine how best to use AI/ML in your current business or to brainstorm AI/ML solutions to a startup business idea and develop a technical project scope. (More details in the consultation link at bottom of profile.) 💡 Prototype Development: I develop a prototype to test your AI/ML business idea to guide future development or to help obtain VC funding. 👨‍💻 Production Solutions: Diagnosing and redesigning your currently implemented AI/ML solutions to improve prediction accuracy, robustness, or interpretability. Deploying AI/ML systems for internal or external use. I've worked in many AI/ML application domains including the following (project details in portfolio below): 🔤 Natural Language Processing (NLP): ➤ Categorization of legal texts, classification of customer feedback reviews 👁️ Computer Vision: ➤ Object recognition, surveillance video summarization 💊 Biology and Medicine: ➤ PCR data analysis, disease detection using breath data 💵 Finance: ➤ Stock price prediction, loan repayment analysis, ad-revenue prediction 📜 Technical Writing: ➤ Detailed technical project scopes, advise and edit top-rated intro to ML e-book 🏠 Real-estate: ➤ Detailed technical scope and prototype for real-estate startup, leading to VC funding and successful launch 🐞 Software Bug Prediction: ➤ Predict which code commits are likely to cause bugs

Need cutting-edge AI solutions or expert machine learning guidance? You're in the right place. With a track record of innovation used by tech giants and featured in major media outlets, I'm here to elevate your data science and machine learning projects. BACKGROUND -PhD in Computer Science from the University of Maryland -Bachelors in Physics/Pre-med with domain knowledge in finance -QinetiQ Fundamental Machine Learning Fellowship and Angelo Bardasis Fellowship recipient -15+ publications at major ML venues -2 patents -Maintainer of major open-source ML libraries with 100M+ installations (used by AWS, Google, Meta, Microsoft) -Open source libraries include taking over maintaining the Arcade Learning Environment (a benchmark that led to Google's acquisition of DeepMind) and OpenAI Gym (OpenAI's first widely publicized project many years ago) -Led ML teams in intelligence and semiconductor sectors -Contributor to almost all major open-source ML libraries -Expertise in integrating ML tools with domain-specific requirements and real-world data -Particular specialty in reinforcement learning (I've maintained many of the most widely used open source libraries in the space, and it was the focus of my PhD and 2 of my past firms) EXPERTISE -I offer end-to-end solutions, high-level planning advice, and targeted problem-solving for uniquely difficult challenges in: Machine Learning & AI -Deep Learning -Natural Language Processing (NLP) -Computer Vision (CNNs, YOLO) -Reinforcement Learning -Generative AI (GANs, Stable Diffusion) -Large Language Models (GPT, BERT) -Time Series Analysis Data Science & Analytics -Statistical Analysis -Time Series Forecasting -Predictive Modeling -Recommendation Systems Big Data & Databases -Distributed Computing -NoSQL Databases (MongoDB, Cassandra, MySQL) -Graph Databases (Neo4j) Software Engineering -Microservices Architecture -RESTful API Design -Version Control (Git) -CI/CD Pipelines Cloud & DevOps -Containerization (Docker) -Cloud Platforms (AWS, GCP, Azure) TECHNICAL STACK Programming: Python, C/C++, Java, R, MATLAB ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Scipy, Pandas Visualization: Matplotlib, Seaborn, Plotly, ggplot Documentation: LaTeX, Markdown Databases: MongoDB, Cassandra, MySQL, Neo4j Given my unique blend of academic research, industry experience, and open-source contributions, I bring a high level of expertise to your data science and machine learning projects. Whether you need cutting-edge AI solutions, data-driven insights, or expert guidance on complex ML challenges, I'm equipped to deliver results that drive your business forward.

At Rosenblatt AI, our talent is ready to advise on, architect, and implement your next AI model. Our team of machine learning scientists and engineers from top AI universities (UW, GaTech, Harvard, etc.) and Fortune 100 (Nvidia, Travelers Insurance, Home Depot, etc.) are offering to bring their skills to your next project without the cost of salary, equity, and benefits. We specialize in building custom models end to end in a variety of domains for startups and enterprise alike. Feel free to reach out directly to me to learn more about how our team can solve your AI challenge. 🏆 Personal Accomplishments 2024 Upwork Machine Learning Skill Certification 2023 Techstars Accelerator Alumni (1% acceptance rate) 2022 AWS Impact Accelerator Alumni & CTO-Fellowship (0.1% acceptance rate) 2021 GSU Outstanding Undergraduate Researcher (One student selected annually) 💻 Personal Experience Graduating amidst the challenges of COVID, I've since spent my entire career working remotely. Through over 3 years of experience as a machine learning engineer at two multi-billion-dollar corporations, and an additional 2 years as a data engineer working at petabyte-scale, I have earned the experience needed to build your model to scale. Here are some of the projects I have worked on: 📝 AI Underwriting: Using LLMs to Create Underwriting Assistants at Travelers Insurance 📉 Bayesian Inference: Product Sales Forecasting for CPG Companies at Salient Management 🎨 Image-Text Matching: Creating a New Multi Modal Search Engine to Find Digital Artist at ARTBAT 🗒️ LLM Topic Modeling: Extracting Relevant Political Candidate Profile Info at Branch Politics 📉 Product Sales Anomaly Detection for CPG Companies at Salient Management ♻️ Contrastive Learning: Fine Tuning Vision-Text Foundation Models to Answer "Is This Recyclable?" 📣 Market Mix Modeling: Guiding Media Spend through Casual Models at Expedia 🏠 XGBoost: Ranking Community Relevance at A Place For Mom 🔎 Spark EDA: Analyzing Big Data for Retirement Communities at A Place For Mom 📍HDBSCAN: Segmenting Urban 🌃 vs Rural 🚜 Community Geoclusters at A Place For Mom 🧾 Doc2Vec: Measuring Customer Receipt Similarity using NLP at Home Depot 📱 Bidirectional LSTMs: Detecting Anomalies in Device Geo-tracking 🛰 Neural Architecture Search: Using AI Models to Classify Satellites Obscured by Atmospheric Distortion 🧫 Microscope Image Classification: Using AI to Identify Deadly Bacteria Strains 🚗 Visible Light Communication: Augmenting Road Safety Information Using Visual Perception

CONCEPT/ FRAMEWORK : Machine Learning, Artificial Intelligence, NLP, LLM models, Prompt Engineering, Generative AI, LLM, Automation, scientific modeling, AIBots LANGUAGE - Python, PySpark, R, TensorFlow, scikit-learn DATABASE - MYSQL, Oracle, Postgres, DynamoDB , RDS Cloud Server - Azure, AWS, GCP ETL - Informatica, Glue, Talend, snowflake Report & Dashoard: Tableau, Power BI, Looker DATA to/from : Ebay, Amazon, SmugMug, Bigcommerce, Zoho, custom CRM systems or external APIs; web scraping/crawling automated retrieval of weakly-structured data; financial back testing. BOTS: Artificial intelligence" (expert systems, decision support systems, artificial neural networks, genetic algorithms), data mining; natural language processing tasks (intellectual textual search, natural language generation, etc)