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Machine Learning Engineer & Data Scientist specializing in Time Series, Predictive Modeling, Forecasting, Sensor Data and IoT. My work often bridges applied AI and machine learning, I help startups, research teams, and enterprise clients transform complex data into actionable systems, turning raw signals into predictive insights that drive real-world impact. My Areas of Expertise Include: ⚡️ Time series analysis & forecasting ⚡️ Signal processing for wearable/sensor data ⚡️ Predictive modeling for healthcare & biotech ⚡️ Spatial/geospatial data analysis ⚡️ Financial statistical modeling Projects I've Delivered: I've delivered impactful solutions across diverse industries: 💡Developed a new heart failure prediction approach using accelerometer data, improving AUC by over 20% compared to the baseline through advanced feature engineering and reduced model overfitting. 💡 Validated the feasibility of a wearable breath monitoring system using advanced signal analysis—supporting a funding presentation and informing product development. 💡 Reduced prediction error in protein-ligand binding models using RDKit-based feature engineering and XGBoost; accelerating drug candidate screening in early-stage discovery. 💡 Reduced wave height prediction error by 50% in a coastal forecasting system using multivariate time series modeling, improving surf and safety alerts for Tofino. 💡 Applied statistical modeling to NQ futures data to identify predictive metrics, supporting strategy refinement in a live trading environment. What You Can Expect When Working With Me: ✅ Deep understanding of your goals and technical requirements ✅ Solutions tailored specifically to your use case, not generic approaches ✅ Creative problem-solving that finds insights others might miss ✅ Rapid learning curve for domain-specific knowledge ✅ Clear communication throughout the project lifecycle ✅ Timely delivery and high-quality, documented code Core Technical skills: ✔️ Python (pandas, NumPy, SciPy, scikit-learn, PyTorch) ✔️ Signal Processing (Denoising, Transformations) ✔️ Machine Learning (Classification, Regression, Time Series, Anomaly Detection) ✔️ Data Visualization (Matplotlib, Seaborn, interactive dashboards) ✔️ Statistical Analysis (hypothesis testing, experimental design) ✔️ SQL & Database Management My background combines technical expertise in machine learning and data science with strong client communication, allowing me to bridge the gap between complex analytics and real-world decisions. I'm intentional about the projects I take on, ensuring every engagement gets the attention and quality it deserves! If you're looking for an ML expert who delivers real impact; not just code, let's connect to discuss how I can help transform your data into value!

Senior Software Developer and Industrial ML Specialist with over 20 years of experience. In my previous role I built mission critical software, including the control systems (SCADA) used to run pipelines, LRT systems, and power plants. Since then I co-founded a startup to build the ML to augment those systems, optimizing industrial systems to reduce power cost and increase throughput, and building failure prediction and detection systems to avoid costly downtime and repairs. My industrial background gives me the experience needed to take software past "production ready" to the five-nine reliability needed when a single glitch can take down a multi-billion dollar production system, or prevent life-saving infrastructure from running in an emergency. As an ML engineer I went back to those same systems with an eye towards the hidden opportunities buried in the raw data. This involved dealing with the complexities of messy real world data such as: missing or malfunctioning instruments, unknown time offsets, unlabelled data, missing logs, and clients with a very different view of the systems. I handled the full lifecycle: data validation and cleaning, feature engineering, model development, application design, and cloud deployment. As a developer I specialize in C/C++, Python, and JavaScript, and am a skilled full-stack developer with strong Linux/Unix system administration skills. My ML specializes in time series, regression, and categorization, but I have built solutions in many other areas including Computer Vision, Reinforcement Learning, and Large Language Models. Having co-founded and led a startup I have a strong eye for evaluating business proposals and focusing on what's needed for a successful MVP. For instance, I know when a particular piece of functionally is critical to the value proposition, and thus needs to be absolutely flawless. And I know which bits of functionality just need to be done as quickly and cheaply as possible so the prototype can get out the door.

Nasser is a skilled applied data scientist with extensive experience in data analysis, predictive modeling, and visualization. His diverse expertise spans multiple industries, including sports analytics, education, and aerospace. Nasser is proficient in Python and its many libraries including pandas, numpy, scikit learn, matplotlib and plotly and has a strong background in applying machine learning techniques to solve complex problems, including time series forecasting, ranking models, NLP driven textual analysis, media mixed modelling and more. He has worked on various projects, from optimizing models and analyzing racing performance to creating AI-based sentiment analysis tools. Additionally, Nasser has a keen interest in education and enjoys developing engaging lesson plans and learning assessments for high school and university-level students. His unique blend of technical knowledge and teaching experience makes him a versatile professional capable of driving data-driven insights and fostering academic growth

I build AI agents, automations, and RAG systems that ship to production - not demos that die in a notebook. As the founder of BeautyBuzz AI (a live SaaS with real users), I've taken AI products through the full cycle: idea → build → deploy → scale. I'm a full-stack developer with deep AI expertise, which means you get one person who can design the model, build the backend, and ship the app - no handoffs, no gaps. What I build for clients: • AI Agents & Multi-Agent Systems — LangChain, LangGraph, CrewAI; tool-calling, memory, orchestration • AI Automation & Workflows — n8n, Make, Zapier + OpenAI/Claude; connect your CRM, email, Slack, docs so work runs itself • RAG & Knowledge Assistants — chat over your documents/data with accurate, cited answers (vector DBs, hybrid retrieval) • LLM Fine-Tuning & Integration — OpenAI, Anthropic Claude, Gemini, Llama; prompt engineering, evals, cost/latency optimization • Full-Stack AI Products & MVPs — Python/FastAPI backends, clean databases, cloud deployment (AWS/GCP/Azure), Docker, CI/CD Why clients hire me: ✅ 100% Job Success Score and $60K+ earned on Upwork ✅ Founder of a real, deployed AI SaaS — I think about your business outcome, not just the code ✅ Recent 5-star work: agentic RAG systems, document-processing automation, a high-performance LLM inference engine, and a 150-hour PostgreSQL + Python app Tech I work with daily: Python, FastAPI, LangChain, LangGraph, OpenAI & Claude APIs, MCP, Pinecone/pgvector, Hugging Face, PyTorch, TensorFlow, Docker, AWS, n8n, SQL, React/Next.js. If you need an AI agent, an automation that saves hours every week, or a production-ready AI feature built properly the first time, send me a message or invite me to your job - I reply within hours and I'll tell you honestly what's worth building.

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. I’m Claire L., a Senior Machine Learning Engineer specializing in Generative AI, LLM-based systems, Deep Learning, Computer Vision (YOLO), Predictive Analytics, and production-grade MLOps deployment. I hold a MSc degree in Computer Science and AI with 8+ years of experience helping startups, fintech platforms, healthcare teams, and growing enterprises move from AI idea to production deployment, reliably and at scale. I don’t build experiments. I build systems that integrate cleanly, perform consistently, and deliver long-term value. 𝗪𝗵𝗮𝘁 𝗜 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗜𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴, 𝗟𝗟𝗠 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 • Retrieval-Augmented Generation (RAG) • AI copilots & intelligent assistants • Knowledge-base integrated chatbots • Structured data grounding & vector search • Evaluation, guardrails & performance optimization 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 & 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • Demand forecasting & time-series modeling • Fraud detection & risk scoring • Customer churn & behavioral prediction • Feature engineering & model optimization 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • YOLO-based object detection (YOLOv5 / YOLOv8) • Image classification & video intelligence • Custom dataset training & small-object detection • Edge optimization & quantization-aware deployment 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 • End-to-end ML pipelines • Model monitoring & drift detection • CI/CD for machine learning • Scalable cloud deployment (AWS, Azure, GCP) • API integration & system architecture design 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁 • Reduced operational waste by 25% through advanced forecasting systems • Improved fraud detection precision for fintech platforms • Built enterprise-grade AI assistants integrated with structured knowledge bases • Deployed real-time object detection systems in production environments • Designed scalable ML infrastructure supporting long-term model reliability 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 • Python | TensorFlow | PyTorch | Scikit-learn • Cloud Platforms: AWS, Azure, Google Cloud • MLOps: Docker, Kubernetes, MLflow • NLP, Computer Vision, Generative AI & Predictive Modeling • N8N, Zapier, Airtable Automations, Make (Integromat), Notion Automations, Retool 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 Every engagement begins with defining measurable KPIs and a clear architecture plan. From there, I design the right combination of data pipelines, models, and infrastructure to ensure the solution performs reliably in production, not just in development. I work best with teams building serious products who need AI engineered properly from day one: secure, scalable, and maintainable. 𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗮𝗺𝗯𝗶𝘁𝗶𝗼𝘂𝘀 𝗮𝗻𝗱 𝗻𝗲𝗲𝗱 𝘀𝗲𝗻𝗶𝗼𝗿-𝗹𝗲𝘃𝗲𝗹 𝗔𝗜 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, 𝗜’𝗱 𝗯𝗲 𝗴𝗹𝗮𝗱 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀.

I’m a data scientist and machine learning expert with Master’s degrees in Computer Engineering, Mechanical Engineering, and Energy Systems. I specialize in extracting actionable insights from data and developing predictive models to drive business success. - Expertise in Data Science and Machine Learning: Proficient in Python, R, C#, C++, and SQL. - Advanced Analytical Techniques: Skilled in statistical analysis, data-driven decision-making, and algorithm implementation. - Natural Language Processing (NLP) and Text Analysis: Experienced in NLP techniques to analyze and derive meaning from text data. - Diverse Industry Experience: Successfully executed projects across various sectors, providing tailored data solutions. Regular communication is a priority for me, ensuring we stay aligned throughout the project. Let’s collaborate to transform your data into strategic assets.