Hire the Best Algorithms Engineers
in the United States

AI Developer | Automation & Predictive Analytics I build AI systems that take repetitive work off your plate and turn your data into decisions you can act on. Over 5+ years I've automated workflows that ran for hours down to minutes, shipped computer-vision models north of 97.5% accuracy in production, and built specialized models that outperform frontier LLMs on-task at a tiny fraction of the compute. AUTOMATION I design pipelines and AI-driven workflows that replace manual, error-prone processes: LLM-powered document processing, data ingestion and ETL, RAG/MCP integrations, and agentic systems that handle the busywork. I've cut enough of it for clients to gain multiples worth of efficiency gains. PREDICTIVE ANALYTICS I build forecasting, classification, and risk/scoring models that turn historical data into reliable signal - with the feature engineering, evaluation, and monitoring to keep them accurate in production, not just in a notebook. I also handle the engineering around the models - infrastructure, security, and the supporting services that keep everything running in production. When a project calls for it, I work across NLP, computer vision, and custom model training/fine-tuning. SELECTED RESULTS - Automated document processing from hours to minutes with LLMs - 97.5%+ accuracy on production computer-vision inference - Fine-tuned a compact language model to more than 5x the on-task accuracy of a frontier LLM (GPT-5.5) while using thousands of times less compute CORE SKILLS - Predictive analytics & forecasting, machine learning, deep learning, LLMs, computer vision - Workflow & data automation, MLOps, custom model training, optimization & fine-tuning - Supervised, unsupervised (K-Means, HDBSCAN), and reinforcement learning (Stable-Baselines3) STACK - Languages: Python, SQL, Bash - ML/Data: scikit-learn, PyTorch, TensorFlow, XGBoost/LightGBM/CatBoost, pandas - Build & Deploy: FastAPI/Flask, Docker, Kubernetes, Git I care about modular, efficient systems that keep working long after handoff - not one-off scripts that break the moment requirements shift. If you've got a process worth automating or data worth predicting from, let's talk about moving your project forward.

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.

Transform your product ideas into optimized, manufacturable designs using advanced engineering and data science. What I deliver: • Design Optimization: Reduce costs and improve performance using genetic algorithms, FEA, and multi-objective optimization • Parametric CAD Modeling: Create flexible, modification-friendly designs in Fusion 360 that adapt to changing requirements • Data-Driven Engineering: Apply Python-based analysis to solve complex design problems and validate performance • Reverse Engineering: Recreate and improve existing products when documentation is unavailable Highlighted Results: ✓ Created a custom genetic algorithm to optimize component placement in electronic test fixtures, handling hundreds of design variables while respecting complex geometric constraints ✓ Developed method for measuring the flexural strength of fiberglass composites with complex shapes that are not suited to traditional 3-point-bending methods ✓ Designed spouts for luxury water features, focusing on lost-PLA casting and machining methods My Background: MS Mechanical Engineering with thesis on advanced geometric analysis. 5+ years optimizing designs for cost, performance, and manufacturability. Ready to optimize your next project? Let's discuss your specific challenges.

I don't just wrap APIs. I build the algorithms underneath them. I'm an AI engineer with 8+ years across quantum-simulation ML, fintech, EdTech, and clinical research — and an MS in Theoretical Chemistry. I train transformers from scratch, invent production retrieval algorithms, and ship AI inside a $660M global Clinical Research Organization where "almost right" doesn't pass. If your last contractor handed you a LangChain demo and called it a product, we should talk. 🔹 What Sets Me Apart ✅ Inventor of the Fox-Search Algorithm — a hybrid vector + graph retrieval method I built for asymmetric query/target search (short questions against 200-page clinical protocols). Pairs a trainable ~0.3B-parameter BERT-tier model with FAISS where pure embedding search collapses. ✅ I train my own models — fine-tuning a 0.3B encoder is normal work for me, not outsourced to a Hugging Face checkpoint. ✅ Scientific rigor — career started predicting atomistic energies and forces for ab-initio-quality molecular simulations. Same measurable-accuracy discipline now applied to LLM systems. ✅ Founder of edup.ai — autonomous grading of handwritten STEM work: computer vision + handwriting recognition + math reasoning + rubric generation, end-to-end. ✅ Production AI in a regulated industry — currently building document intelligence at Worldwide Clinical Trials (2,900+ employees, 52 countries). 🔹 Core Capabilities ▪ RAG done right — hybrid vector+graph retrieval, FAISS at scale, embedding fine-tuning, evaluation harnesses that actually measure quality. If your RAG hallucinates, I can usually tell you why within an hour. ▪ LLM engineering — self-optimizing prompt primitives that improve over time, constrained generation, tool calling, structured outputs. GPT-4o, Claude, Llama, Mistral. ▪ Document intelligence — production parsers for PDF, DOCX, XLSX with section-aware XML processing; semantic search that finds alternative phrasings of previously-approved language. ▪ Custom model training — BERT-tier encoders, LoRA/QLoRA fine-tuning, domain-adaptive pretraining. ▪ Computer vision — handwriting recognition, OCR, ViT/CLIP, math symbol understanding. ▪ High-performance engineering — C++ on the hot path, FastAPI services, real async Python. 🔹 Tech Stack • Languages: Python, C++, JavaScript / TypeScript • ML / DL: PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, NumPy, Pandas • LLM: OpenAI GPT-4o / o-series, Claude, Llama, Mistral, LangChain, LangGraph, LlamaIndex, LoRA / QLoRA, RAG, function calling • Retrieval: FAISS, Pinecone, Weaviate, Chroma, Qdrant, custom hybrid vector+graph search • Vision: OpenCV, PyTorch Vision, ViT, CLIP, OCR, handwriting recognition • Backend: FastAPI, Flask, Docker, REST, WebSockets, async Python • Frontend: Svelte 4, React • Enterprise: Microsoft Entra ID, SharePoint, Azure, AWS, GCP 🔹 Shipped Projects ▪ Fox-Search RAG — hybrid vector+graph retrieval running in production for clinical document Q&A, outperforming pure embedding baselines on long-form documents. ▪ Self-optimizing prompt infrastructure — reusable LLM primitives that improve over time without manual prompt-tuning. ▪ Document intelligence backend — parses Excel/DOCX/PDF with section-level XML comprehension; powers cross-document semantic search. ▪ RFI automation for clinical trials — ingests Excel-based Requests for Information and routes them through automated answer pipelines. ▪ edup.ai — 7-stage autonomous grading pipeline for handwritten math, from photo capture to gradebook. Live at edup.ai. ▪ Neural network potentials — ML approximations of quantum-mechanical energy surfaces for molecular simulation (same problem class as DeepMind's AlphaFold lineage). 🔹 How I Work ✔ I scope honestly — if your problem doesn't need AI, I'll tell you. ✔ I write the evaluation code before the model code. Anyone can demo; I deliver something you can measure. ✔ I ship in weekly increments — no six-week silence followed by a "big reveal." ✔ I write maintainable code your team can own after I'm gone. 🔹 Best Fit For Teams stuck on "our RAG kinda works but hallucinates" • Document-heavy domains (clinical, legal, scientific, financial, EdTech) • Startups needing a senior engineer who can architect, train, deploy, and operate • Anyone whose roadmap requires training models, not just prompting them. Send me your problem — not your solution. I'll reply within 24 hours with an honest read on whether I'm the right engineer for it.

Principal Software Engineer & Architect , CTO, AWS, Node.js, Python, IoT, SaaS, E-commerce Upwork Expert Vetted Top 1% I am an AI empowered coder. It increases my production many fold. It is not vibe coding. It's AI context engineering code assistance, or something like that. It's amazing. I help companies scale their technical teams and ship production-grade systems faster. As a seasoned Fractional CTO and hands-on Principal Engineer, I combine 30+ years of daily coding with strategic technical leadership. I enjoy writing code alongside the teams I lead because staying technically current makes me a better architect and leader. AI tools support my development process while design decisions and code quality remain experience-driven. WHAT I DELIVER: Hands-On Development & Technical Leadership • Backend systems in Node.js and Python handling real-time data at scale • AWS architectures using ECS, Lambda, IoT Core, SQS, RDS, and API Gateway • Infrastructure as Code with CloudFormation for cloud and on-premises deployments • Team building, mentoring, and implementing development processes that deliver results Specialized Expertise • IoT & SCADA systems for industrial monitoring and control • Microservices architecture and RESTful API design • AI/LLM integration using OpenAI APIs • Database design and optimization (PostgreSQL, MySQL, NoSQL) RECENT IMPACT: I architected a complete AWS IoT platform for industrial monitoring, recruited and mentored a 4-person development team, and delivered both cloud and on-premises deployments. I built an AI-powered recruiting platform that reduces recruiter workload from months to hours through automated screening and intelligent matching using OpenAI LLMs. I designed a SCADA/IoT control system for EV bus charging and co-invented a patented cost-optimization algorithm (US20210086647A1). The company was subsequently acquired by BP. I was hired to resolve a critical firmware hang. Problem solved. Asked to stay on, I've since improved architecture robustness, resolved bottlenecks, and enhanced system reliability. MY APPROACH: I take ownership and dig deep into your problem space. I ask questions, raise concerns proactively, and work to understand what's actually needed rather than just what's asked for. I provide continuous feedback to stakeholders and maintain hands-on involvement in code while guiding technical strategy. CREDENTIALS: • BS Computer Science, University of Texas at Austin (Top 10 CS program) • 2 US Patents (Personalization Technology, EV Fleet Management) • Member of Mensa and Intertel • 30+ years building production systems from startups to enterprise TECH STACK: Languages: Node.js, Python, JavaScript, C/C++, SQL, Bash Cloud & DevOps: AWS (ECS, Lambda, IoT, SQS, RDS), CloudFormation, Docker, CI/CD Architecture: Microservices, RESTful APIs, Event-driven systems, Distributed systems Domains: IoT, SCADA, SaaS, Embedded systems, AI/LLM integration, E-commerce Databases: PostgreSQL, MySQL, NoSQL Integrations: OpenAI API, Twilio, Stripe, MQTT, Modbus, OCPP I'm looking for principal engineer roles and/or fractional CTO engagements and where I can drive technical strategy while coding daily. Let's discuss how I can help accelerate your technical roadmap.

Hi, I am an AI and Full-Stack Engineer with over ten years of experience designing and building intelligent, scalable, and production-ready software systems. I help startups and growing businesses turn complex problems into simple, smart, and automated solutions. My goal is always to save time, improve decision-making, and create applications that scale effortlessly. I specialize in Python with frameworks like Django, FastAPI, and Flask for backend development. I write clean, maintainable code with a focus on performance, reliability, and scalability. I also work with React and Next.js to deliver smooth and responsive user interfaces. Alongside full-stack development, I specialize in natural language processing and Generative AI. I build applications using large language models, LangChain, and LlamaIndex. I develop retrieval-augmented generation systems, conversational AI, semantic search, knowledge base automation tools, and other AI-powered solutions that turn data into insight and workflows into intelligent automation. I have hands-on experience with transformer models such as GPT, LLaMA, Mistral, Claude, Gemini, and Qwen. I integrate them using fine-tuning, prompt engineering, embeddings, and custom API pipelines. I work with vector databases like Pinecone, Weaviate, FAISS, and ChromaDB to enable context-aware intelligence and fast data retrieval. I have delivered end-to-end solutions including AI-powered SaaS platforms, custom dashboards, automation systems, and text-to-SQL tools. I focus on strong backend architecture, intelligent AI logic, and seamless user experiences. I also have experience deploying applications on cloud platforms such as AWS, GCP, and Azure using Docker and CI/CD pipelines to ensure reliability and scalability. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Python • Django • FastAPI • Flask • React • Next.js NLP • LLMs • RAG Systems • Semantic Search • Summarization • NER • Sentiment Analysis Generative AI • GPT • Claude • LLaMA • Gemini • Qwen • Hugging Face • Transformers Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB Prompt Engineering • Embeddings • Document AI • Data Processing & Automation Cloud Deployment & SaaS Solutions (AWS, GCP, Azure) 💬I treat every project like it’s my own, with care, precision, and a focus on real results. I will bring experience, skill, and care to your project. I will work with you to create solutions that are intelligent, reliable, and built to last. Let us build something remarkable together.