Hire the Best Machine Learning Engineers
in the United States

I am a AI specialist and a problem-solver. I am expert in using Python to develop effective machine learning models. I have experience with AWS and Tensorflow and have built applications, models, and solutions for a variety of companies. I have developed cutting edge, custom machine learning models and successfully integrated them within existing structures. My goal is to revolutionize your business. I believe that machine learning and AI is the path forward, and I can help you obtain value from the data you collect. If you want to innovation and creativity in your business, reach out to me.

I build AI agents that become business assets, work 24/7 and make your life easier. Most AI agents fail because builders use cookie cutter agents with some patchwork. I do things differently. You get a production-grade system that actually solves your business problem (not just a demo) which scales with your company growing. What I deliver: AI agents and systems that transform how you operate, or become the foundation of your next offering. Custom-built, deployed, ready for real users. How I work: Phase 1: Understand the problem, map the opportunity Phase 2: Build working proof, validate before scaling Phase 3: Production system, deployed, tested, usable Phase 4: Iterate, refine based on real usage, grow together This isn't a one-off engagement. Clients often start with a first build and continue through v2, v3, and beyond. Some partnerships run 2-3 years. Who this is for: Business owners and founders investing in AI transformation. You have vision, budget, and want a partner, not a vendor. Who this isn't for: Quick fixes, legacy cleanup, or bolting AI onto broken workflows. If you want fast and cheap, I'm not your guy. Background: MS in Computer Science. 10+ years applied AI. Published researcher. Clients repeatedly say: "Clarity came through building with you." Recent examples: • AI design platform: from idea to paying users, still evolving 2+ years later • RFQ automation system: replaced 10 browser tabs with one platform (has 8 agents), ongoing partnership Technical depth: Python, FastAPI, LangChain, OpenAI, RAG architectures, cloud deployment (GCP/AWS), fine-tuning, vector DBs, Claude Code. ✔ Consulting: 30-minute paid calls available for scoping, second opinions, or "should we build this?" conversations. DM me if you're building something.

Machine-Learning Engineer applying deep neural networks to reinforcement learning, NLP computer vision, and other interesting problems! In the midst of publishing a paper on predicting the outcome of sporting events. Background in Cryptography and full-stack development experience as well. When I'm not working catch me at USCF tournaments, playing basketball or working on my research!

Hi, I`m Noor 👋 "I turn raw data into clear, actionable insights that empower better decisions and drive real results, every step of the way." I'm a Data Scientist and AI Engineer. Over the past 5+ years, I’ve worked on projects that combine data engineering, machine learning, and large language models to build intelligent, production-ready solutions. I specialize in designing end-to-end ML pipelines, developing LLM-powered applications (RAG, LangChain, Llama-2/3, OpenAI), and deploying scalable systems on Azure, Databricks, and Docker. My work often involves automating data workflows, improving prediction accuracy, and transforming complex data into clear insights. Some of my favorite projects include building an AI chatbot for e-commerce, a predictive system for event planning, and an IoT protocol translator using LLMs. I value clarity, efficiency, and collaboration and I always aim to deliver results that make a measurable impact. If you’re looking for someone who can turn your data or AI idea into a working solution, I’d be happy to help.

Ahmed Sherif has a great mix of Data Science and Engineering skills. He spends his time building and deploying cool ML and deep learning applications to the cloud. He has programming knowledge in Python, R and SQL, which he uses in conjunction with Spark to build out data and ML pipelines. He has additional programming knowledge in JavaScript, HTML, CSS, and D3.js to deploy web based visualizations. In 2016, Ahmed published his first book, 'Practical Business Intelligence'. It is a journey in developing BI solutions with open source software to help companies gain a competitive advantage. In 2018, he published his second book, Apache Spark Deep Learning Cookbook.

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.