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Most businesses are sitting on valuable data but struggle to extract insights from it. Others have AI ideas but lack the expertise to turn them into production-ready solutions. That's where I come in. I help startups, businesses, and organizations leverage Data Science, Machine Learning, Deep Learning, Computer Vision, Predictive Analytics, and Artificial Intelligence to solve complex problems, automate workflows, reduce costs, and uncover new opportunities. With expertise spanning Data Analytics, AI Engineering, Computer Vision, Forecasting, NLP, and Business Intelligence, I build solutions that move beyond experiments and deliver measurable business impact. Whether you need a Machine Learning model, a Computer Vision system, a forecasting solution, a recommendation engine, an AI-powered application, or an interactive analytics dashboard, I can help bring your project from concept to deployment. Core Expertise Data Science & Analytics Data Science Data Analytics Business Intelligence Predictive Analytics Statistical Analysis Exploratory Data Analysis (EDA) Data Mining Data Cleaning Data Wrangling Data Processing Data Modeling Data Visualization Dashboard Development KPI Analysis Reporting Automation Customer Analytics Product Analytics Marketing Analytics Financial Analytics Market Research Decision Intelligence Machine Learning Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Classification Regression Clustering Recommendation Systems Ensemble Learning Model Optimization Feature Engineering Hyperparameter Tuning Model Evaluation Model Explainability Anomaly Detection Predictive Modeling Time Series Forecasting Demand Forecasting Customer Churn Prediction Lead Scoring Fraud Detection Deep Learning & AI Artificial Intelligence (AI) Generative AI Deep Learning Neural Networks CNN RNN LSTM Transformers Fine-Tuning Transfer Learning AI Automation Intelligent Systems Decision Support Systems AI Integration AI Applications AI Product Development Computer Vision Computer Vision Image Processing Image Classification Object Detection Object Tracking Object Segmentation Facial Recognition Face Detection OCR Document AI Medical Imaging Video Analytics Real-Time Detection Industrial Inspection Quality Control Systems License Plate Recognition Defect Detection Surveillance Analytics YOLO OpenCV Natural Language Processing (NLP) Natural Language Processing Text Classification Sentiment Analysis Text Mining Information Extraction Named Entity Recognition Chatbots AI Assistants Document Intelligence Text Analytics Language Models Prompt Engineering Retrieval Systems Tools & Technologies Programming Python • SQL • R • JavaScript Machine Learning & Deep Learning Scikit-Learn • TensorFlow • PyTorch • Keras • XGBoost • LightGBM • CatBoost • Hugging Face • FastAI Computer Vision OpenCV • YOLOv8 • YOLOv11 • Detectron2 • MediaPipe • EasyOCR • Tesseract OCR Data Analysis Pandas • NumPy • SciPy • Statsmodels Data Visualization Power BI • Tableau • Streamlit • Plotly • Matplotlib • Seaborn Databases PostgreSQL • MySQL • MongoDB • BigQuery • Snowflake Cloud & Deployment AWS • Azure • Google Cloud Platform (GCP) • Docker • Kubernetes • MLflow • GitHub Actions Industries Healthcare • Finance • Banking • Insurance • Retail • E-Commerce • Logistics • Transportation • Manufacturing • Agriculture • Real Estate • Education • SaaS • Telecommunications Why Clients Work With Me ✅ Strong Data Science and Machine Learning expertise ✅ Production-ready AI and Computer Vision solutions ✅ Clean, scalable, and maintainable code ✅ Clear communication and regular updates ✅ Focus on business outcomes, not just models ✅ Fast turnaround without compromising quality If you're looking for a Data Scientist, Machine Learning Engineer, Computer Vision Engineer, AI Developer, Deep Learning Specialist, Data Analyst, or Predictive Analytics Expert who can deliver real business value, let's discuss your project.

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.

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 help organizations replace AI guesswork with functional, glass-box solutions and rigorous scientific validation. As a PhD Scientist and Senior Research Manager, I specialize in building the transparent frameworks required for high-stakes, automated decision-making. Whether you are navigating complex datasets or developing an Explainable AI (XAI) strategy, I provide the academic rigour and technical oversight needed to transform messy data into clear, defensible, and trusted AI systems. Impact & Proof - Enterprise AI Workflows: Oversaw the development of a comprehensive AI Ethical Framework and R&D adoption path, driving the successful launch of 10+ operational and client-facing AI workflows. - Clinical ML Deployment: Built ML models for pediatric rehabilitation that integrated into clinical therapy programs across home and clinic settings. These applications have been deployed in 2 hospitals, serving 50+ patients and utilized by 10+ clinicians. - Data Science & Advanced Analytics: Delivered 60+ comprehensive Quality Assurance reports, specializing in extracting actionable insights from messy data and solving fuzzy, ill-defined business questions through rigorous scientific validation. - Academic Rigour: Authored over 60 peer-reviewed academic journal articles, conference papers, and presentations, grounding my freelance work in cutting-edge, verifiable AI and data science methodologies. Core Services Explainable AI (XAI) Strategy - The Problem: "Our AI makes decisions, but I can't explain why to my stakeholders or my users." - The Solution: I turn "black box" models into transparent systems with human-readable outputs, ensuring best-practice and stakeholder buy-in. Scientific Validation - The Problem: "We know our product has potential, but we lack the rigorous scientific proof to show how great it is." - The Solution: I design comprehensive, peer-reviewed validation frameworks across the entire scientific workflow—from hypothesis generation, experimental design, and data collection, to statistical modelling, evaluation, and reporting—to definitively prove your tool works safely and accurately in the real world. Algorithmic Auditing - The Problem: "We are ready to scale our AI to the next level, but need a defensible governance framework to prove to stakeholders that our models are fair and systematically sound." - The Solution: Implementing an end-to-end AI governance framework that spans technology evaluation, systems architecture, and ethical policy design, ensuring fair results across user populations and mitigating long-term risk. (Note: Due to an active non-compete agreement, I am unable to accept engagements related to Higher Education Selection Assessment and Analytics.) What Others Say (via LinkedIn) "Alex consistently brings a high level of technical expertise and client-focused insight... translating data into recommendations that resonate with their goals." — Katie A., MBA, Strategic Partnerships "His consistent and patient guidance have been instrumental in accelerating my knowledge in applying machine learning... Alex breaks down complex biomechanical and technical concepts through concrete examples." — Elisa D., MScAC, Machine Learning & Data Science Analysis & Tech Stack - Languages & AI Frameworks: Python (Pandas, Polars, SciPy, TensorFlow, PyTorch, LangChain, LangGraph, GraphRAG, spaCy, FastAPI, Streamlit, Plotly, Weights & Biases), R, MATLAB - Data & Cloud: SQL (PostgreSQL), Vertex AI, Gemini File Search, Docker, Firebase, Pinecone, Looker, Qlik, AWS - Methodologies: Bayesian & Classical Statistics, Mixed-Methods Studies, Psychometrics, Meta-analysis, Biomechanical Modelling, User-Centered Design Ready to deploy with confidence? If you want to prove your AI works well, send me a message. Let's set up a 15-minute consultation to map out your algorithmic auditing and validation strategy.

Expert-Vetted (top 1%) AI consultant. 100% JSS across 13 contracts. Computer Vision and LLM systems shipped to production — not prototypes. What I build: → Edge CV at scale: 30 FPS sustained on Jetson Orin Nano, INT8 TensorRT, IP67 enclosures. Production deployments include fish counting and defect detection (99.4% accuracy on holdout) and aerial imagery analysis with VLM + YOLO11 hybrid pipelines. → Agentic AI for regulated industries: cybersecurity vendor risk scoring (SOC2/NIST/ISO mapping), AI legal study tools (20K+ case briefs), and AI financial intelligence platforms. Stack: LangGraph, Claude Opus 4.7, Bedrock AgentCore, MCP servers, pgvector. → Voice AI that respects users: trauma-informed prompt design for wellness and healthcare. Vapi/Twilio + Claude/GPT-4. Latency under 800ms. GDPR/HIPAA-aligned. → Fractional CTO for AI startups raising seed-to-Series-A: architecture review, hiring plans, AWS infrastructure, technical due diligence. How I work: I run a small Canadian team (4 senior engineers) and use AI-augmented development to ship 2-3x faster than typical agencies at $100-200/hr blended rates. Most engagements start with a 1-2 week paid discovery ($2K-5K fixed) so we can scope accurately before committing to MVP. What I don't do: WordPress, generic web apps, ChatGPT wrappers without retrieval, or projects under $5K (those are better suited to mid-tier freelancers). Available 30+ hrs/week. Burnaby BC, work primarily on PT/ET timezones. 20-minute discovery call: send the job link.

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.