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Claire L.
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Claire L.

AI & ML Engineer | Agentic AI, LLM, RAG, Generative AI & Automation

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. I’m a Senior Machine Learning Engineer specializing in Agentic AI, Generative AI, LLM-based systems, Deep Learning, Computer Vision (YOLO), Predictive Analytics, and production-grade MLOps deployment. I hold an MSc 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 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 • Multi-agent system design & orchestration • Autonomous decision-making workflows • LLM agents for task automation & planning • Human-in-the-loop agent integration • LangChain, AutoGen & CrewAI implementation 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 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗺𝗮𝗶𝗹 𝗙𝗶𝗹𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 (𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲) • Architecture: Multi-agent system using Claude for email classification, document analysis, and validation. • Tech: RAG for context-aware folder retrieval, structured prompt engineering, and strict output schemas. • Impact: Automated Gmail-to-Google Drive filing with human-in-the-loop review for edge cases, significantly reducing manual workload. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 & 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 • Architecture: Advanced LLM orchestration for faithful PDF layout preservation during translation. • Tech: Expert-level Python, validation workflows, and complex document parsing. • Impact: Delivered high-fidelity product manual translations maintaining original formatting and font integrity. 𝗔𝗜𝗢𝗡 - 𝗔𝗜-𝗡𝗮𝘁𝗶𝘃𝗲 𝗕𝟮𝗕 𝗦𝗮𝗮𝗦 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 • Architecture: Scalable multi-tenant operating system unifying CRM, workflow automation, and commerce. • Tech: AI-first design for cross-channel communication (Instagram, WhatsApp, Messenger) and sales automation. • Impact: Centralized customer data and engagement into a single intelligent platform, eliminating disconnected tools. 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 • Agent Frameworks: LangChain, AutoGen, CrewAI, LlamaIndex • 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.

🇨🇦Mirabel, Canada$40/hr100% JSS5.00 (2)Since Jan 2026

Earnings and projects

MRR
$324

Last 6 months ÷ 6

World#95,324 / 412k
🇨🇦Country#1,421 / 7,133
Revenue, last 30 days
$0

Last 6 months: $1.9k

Total earnings
$2.4k

Billed in all: $2.6k

World#317,981 / 412k
🇨🇦Country#5,582 / 7,133
Per project
$800

$1.9k in the last 6 months

World#141,626 / 412k
🇨🇦Country#2,608 / 7,133
Projects, last 6 months
1

Across 2 contracts

50% fixed50% hourly
World#128,092 / 412k
🇨🇦Country#1,897 / 7,133
Projects in all
3

Across 4 contracts

50% fixed50% hourly
World#304,140 / 412k
🇨🇦Country#5,325 / 7,133

Earnings, last 30 days

$2.6kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$2,500$2,550$2,600$2,650Oct 8Oct 23Nov 7

Dotted: longer than usual between two readings.

Skill rankings: Top 17% in TensorFlow

Ranked by MRR among everyone on Upwork with the skill.

  1. #23Recommendation System103 freelancers · 🇨🇦 #2Top 22%
  2. #65Predictive Analytics294 freelancers · 🇨🇦 #4Top 22%
  3. #132MLOps468 freelancers · 🇨🇦 #3Top 28%
  4. #280TensorFlow1,661 freelancers · 🇨🇦 #7Top 17%
  5. #291Fraud Detection629 freelancers · 🇨🇦 #4Top 46%
  6. #314PyTorch1,585 freelancers · 🇨🇦 #3Top 20%
  7. #579Natural Language Processing2,688 freelancers · 🇨🇦 #15Top 22%
  8. #584Computer Vision2,498 freelancers · 🇨🇦 #12Top 23%