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I am a research engineer focusing upon building and surpassing the latest and greatest in AI. My focus is on natural language processing (NLP) and multimodal (vision and text) AI, with a particular emphasis on large generative models. I have extensive experience working with a variety of different clients, from new startups backed by Y Combinator and AllenAI to large Fortune 500 companies. I have also provided consulting services, including to various venture capital firms and former Microsoft, AWS, and RTL Group executives hoping to build their own AI businesses. I am certified as a top 1% expert on Upwork and within the top 10% by Triplebyte. I also give talks across the industry - for example, I recently spoke on the Weaviate podcast about the current multimodal AI landscape. In terms of the models I am experienced with, I have worked with the vast majority of NLP and multimodal models as well as a significant amount of the speech and vision models available on Huggingface. I regularly build my custom model architectures to best fit client needs since while most models only really have one advancement they focus on, the clients I work with usually would benefit from the improvements from several different Huggingface models. However, I am also familiar with proprietary AI APIs, particularly that of OpenAI’s. I usually recommend those to clients who either will not see a lot of usage of their AI products for a while or those who have low maintenance costs being a top priority. Some of my favorite projects include: - Building a video summarizer taking as input a video or audio file and outputting a summary of its contents in either text or audio format. I used my own custom punctuation addition model, chunking and batching of speech inputs into 10 second increments to speed up transcription, TGlobal attention for the summarization system, and many other tricks. - Building a ChatGPT-style question answering chatbot built entirely with open-source models and tools - Creating a medical bill reimbursement system that took as input a picture of a medical bill, extracted the names of any relevant medical treatments, compared them using semantic search to reimbursable medical procedures in an insurer’s database, and automatically paid out money for all matches - Adding fine-tuning capabilities to MiniGPT-4 and other multimodal LLMs - Domain adapting CLIP on e-commerce data, reaching a 57% relative improvement in zero-shot classification after just 1 hour of training - Creating a custom training framework to train encoder-based language models using the replaced token detection (RTD) objective, including supporting weight sharing, custom generator sizes, training on multilingual datasets, adaptation of models not originally trained with RTD to be trainable using the task, etc. - Building a custom multimodal model architecture using linear attention - Reducing the size of the intent classification and NER models of an automotive company’s Alexa-style virtual assistant by 95-99% while improving accuracy - Creating the state-of-the-art ASL to English translation system back in 2021 (though I surmise this has since been dramatically improved upon since) Tech Stack: Model Development and Optimization - Huggingface, PyTorch, ONNX, Datasets, Pandas, Numpy, Scipy, SciKit-Learn, Sentence Transformers, PEFT, Accelerate, Loralib, TensorRT, Fairseq, LAVIS, TIMM, OpenNMT, TensorFlow, Jax, lots and lots of others Visualization - Matplotlib, tSNE, UMAP LLM Tools - OpenAI API (GPT-4, 3.5 turbo, Ada through davinci, etc.), Langchain, LLaMaIndex, Weaviate, Pinecone, Faiss, ScaNN Cloud - AWS (Sagemaker, EC2), GCP, Azure. I prefer to avoid cloud companies’ end to end AI services (e.g., Amazon Comprehend) since they tend to be inferior to open-source alternatives or things I can custom build, though I am open to using them if that is what you prefer!

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit

Senior AI/ML Expert | Computer Vision | Generative AI | LLMs | 10+ Years Deep Learning Experience I'm a seasoned Applied Scientist with a PhD from University of Maryland and over a decade of hands-on experience building production-scale AI systems at tech giants like Amazon and innovative startups. What I Bring to Your Project: 1) Deep Learning & Computer Vision Expertise: Led development of Amazon One's palm recognition system and Prime Video's multi-modal content understanding models. Proven track record transforming complex research into deployed products serving millions. 2) Generative AI & LLM Applications: Recent expertise in Vision-Language models, multi-modal embeddings, and practical LLM implementations. Just completed 5 months developing Agentic AI solutions for supply chain optimization at Auger. 3) Research-to-Production Pipeline: Published researcher (5000+ citations, 23 h-index) with 10 granted patents. I bridge the gap between cutting-edge research and real-world applications. Specialized Skills: Computer Vision: Face/biometric recognition, object detection, video understanding Generative AI: Multi-modal models, LLMs, Vision-Language systems Deep Learning Frameworks: PyTorch, TensorFlow, custom architectures Production ML: End-to-end system design, model optimization, scalable deployment Agentic AI: Autonomous systems, supply chain optimization Why Work With Me: 1) Proven ability to deliver enterprise-grade solutions (Amazon, Apple, NVIDIA experience) 2) Award-winning innovations (Outstanding Invention Awards, Best Paper Awards) 3) Clear communication of complex technical concepts 4) Reliable delivery with attention to production requirements Whether you need custom AI models, computer vision systems, LLM integration, or consultation on AI strategy, I deliver solutions that work in the real world, not just in research papers. Let's discuss how I can help transform your AI vision into reality.

I'm an AI ethics specialist and technical writer with an MA in Ethical Technology and Artificial Intelligence and 30 years of hands-on technology experience, including deep work in machine learning: classical ML and deep learning through LLM development, fine-tuning, RLHF, and prompt engineering. I've been cited as a primary expert source in academic research on AI ethics. I build documentation, curricula, and analysis that reflects how these systems actually work. That means API references, SDK tutorials, user guides, RCAs, and style guides written by someone who understands the underlying technology, not just the surface concepts. I also consult with nonprofits and mission-driven organizations on AI adoption: ethics review, responsible AI policy, tool selection, data privacy considerations, and staff training. If your organization is trying to figure out where AI fits and what the real risks are, that's the work I do. Published on algorithmic bias and responsible AI. Experienced team lead and editorial director. I can write for engineers, for product teams, and for audiences who have never opened a terminal. Available for fractional and project-based AI/ML technical writing, responsible AI documentation, AI ethics consulting, prompt engineering, API documentation, instructional design, and curriculum development.

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.

⭐ "Expert Vetted Talent" on UpWork (Top 1% talent) 🎓 Master's degree in Computer Science (North Carolina State University) 💼 13+ years of experience ✨ Web & Mobile App Development, and Artificial Intelligence. 🚀 I've helped over 25 start-ups go from💡Idea to📱Product to 💰Revenue. 💪 My strength is my combination of skills - Project Management ➕ Web Dev ➕ Mobile Dev ➕ Artificial Intelligence. ✔️ Web applications - Django, Node.js, React.js, PostgreSQL, MongoDB ✔️ Mobile applications - Flutter, Kotlin, Swift ✔️ Machine learning - OpenAI, Gemini, AI Assistants, Computer Vision 👉 Languages - Python, JavaScript, Dart, Java, 👉 Backend - Node.js, Django, FastAPI 👉 Frontend - React.js, jQuery, Bootstrap, HTML, JavaScript, CSS 👉 Mobile - Flutter, Dart, Java, Xcode, Android Studio 👉 Machine Learning - TensorFlow, PyTorch, Scikit, Pandas, Numpy 👉 NLP - OpenAI, ChatGPT, BERT, Pegasus, Word2vec, Spacy 👉 Computer Vision - Yolo, RCNN, OpenCV 👉 Cloud - AWS, GCP, Azure 👉 Database - Postgres, MySQL, MongoDB, Redis, etc I enjoy working on exciting products and solving complex problems. Building high-quality software is of utmost importance to me personally. I'm a process-oriented person, and most of my clients find that helpful in successfully delivering projects and sticking to timelines. Hope to work on an exciting project with you!