⚡ Max Hart | Data Science • Machine Learning • AI Engineer

🎓 MSc AI & Machine Learning | University of Birmingham | Distinction (79%)

🎯 Independent ML Consultant | Production Systems for Real Clients

🚀 About Me

Data Science, Machine Learning & AI Engineer with a robust mathematics foundation and 18+ months of proven client delivery. Expert in the complete ML lifecycle: from data engineering & validation to model training/selection and production deployment via FastAPI/Docker/AWS with comprehensive MLOps practices. 🎯 Client Portfolio: E-commerce demand forecasting, B2B SaaS ticket triage, fintech OCR systems 🔬 Research Excellence: Geometry-robust hybrid CNN–Transformer for biomedical imaging (2000× speedup) 👨‍🏫 Leadership: Teaching/mentoring experience with 30+ postgraduates + international cohorts 📊 Full-Stack: Data pipelines → ML models → production APIs with monitoring & observability

class MaxHart: def __init__(self): self.role = "DS/ML/AI Engineer" self.education = "MSc AI/ML (Distinction)" self.experience = "18+ months consulting" self.specialties = [ "Production ML Systems", "Computer Vision & NLP", "MLOps & Deployment", "Biomedical AI Research" ] def current_focus(self): return "Building scalable AI solutions"

🏆 Featured Projects

🧠 Hybrid CNN-Transformer for FD-DOT Hybrid CNN-Transformer for Medical Imaging 🏗️ Two-Stage Architecture: 3D ResNet (256-D latent) + Transformer mapping ⚡ Performance: 2000× speedup, <50ms inference vs iterative FEM 🔬 Data Pipeline: 10k FEM phantoms, varied geometries, HDF5 with QC 📊 Results: <0.07 mm⁻¹ RMSE, geometry-agnostic inference 🛠️ Tech: PyTorch, Weights & Biases, coordinate embeddings	🎭 Celebrity Face Matcher End-to-End Face Recognition & Vector Search 🔍 CV Pipeline: MTCNN detection → InceptionResNet 512D embeddings 🚀 Scale: Pinecone ANN search + MongoDB Atlas metadata 🧠 Explainable: CLIP captions + HF LLM natural language rationales 📦 Production: Streamlit UI, Docker deployment, Kaggle integration 🛠️ Tech: OpenCV, Pinecone, MongoDB, HuggingFace
🌟 Elevate Career Multi-Model Job Recommender & LLM Assistant 🤖 AI Matching: Fine-tuned HF models + classical ML ensemble 💬 ElevateBot: Context-aware career advice + CV/cover letter gen ⚡ Production: AWS pipelines, FastAPI service, W&B tracking 🎯 Features: Batch/online scoring, request validation, monitoring 🛠️ Tech: HuggingFace, FastAPI, AWS EC2/S3, LightGBM	🎨 Visionary ResNet High-Performance Image Classification 🏆 SOTA Results: 78% top-1 accuracy on CIFAR-100 ⚡ Advanced Training: AMP, cyclic LR, label smoothing, augmentation 🚀 Deployment: FastAPI + confidence calibration, real-time inference 🔧 MLOps: CI/CD pipeline, distributed training ready 🛠️ Tech: PyTorch, FastAPI, Docker, mixed-precision training

💼 Professional Experience

🚀 Independent ML Consultant (Feb 2023 - Aug 2024)

Machine Learning & Software Engineer • Remote

🎯 Client Solutions 3 Production Deployments 🛒 E-commerce demand forecasting 🎫 B2B SaaS ticket automation 💰 Fintech OCR processing End-to-end ML pipelines

🔧 Technical Implementation Python/pandas/scikit-learn/LightGBM DistilBERT NLP models FastAPI + Docker on AWS EC2/S3 Data validation & monitoring ETL for messy client data

⚡ MLOps Excellence Weights & Biases tracking DVC/Git LFS versioning PyTest for model code CI/CD via GitHub Actions Integration with existing stacks

Key Deliverables:

• 📊 Built client-facing NLP pipeline with Streamlit insights dashboard used by non-technical teams
• 🔧 Prototyped OCR (OpenCV + Tesseract) for invoice processing with REST integration
• 🚀 Integrated ML endpoints into TypeScript/Angular + Java/Spring stacks with auth & monitoring

👨‍🏫 Mathematics Teacher (Sep 2019 - Dec 2022)

International Education Specialist • China

• 🌍 Xi'an Jiaotong–Liverpool University (Sep 2021 - Dec 2022)
  Advanced mathematics to international cohorts, revision workshops, 1:1 support
• 🏫 Overseas Chinese Academy (Sep 2019 - Sep 2021)
  Multi-level lesson plans, formative assessments, data-driven curriculum optimization

🛠️ Tech Stack & Expertise

🧠 Data Science & Machine Learning

🤖 Deep Learning & AI

☁️ Production & Cloud Infrastructure

⚙️ MLOps & Deployment

💻 Software Engineering

🎓 Education & Certifications

🎓 MSc AI & Machine Learning University of Birmingham (Sep 2024 - Sep 2025) Core Modules: Machine Learning Neural Computation Mathematical Foundations for AI/ML Current Topics in AI & ML Natural Language Processing Evolutionary Computation Dissertation: Towards Generalisable Inverse Modelling for FD-DOT via a Hybrid CNN–Transformer Leadership: Organised and taught weekly maths sessions for ~30 postgraduates

🎓 BSc Mathematics & Statistics Lancaster University (Sep 2016 - Jul 2019) Foundation: Advanced mathematics, statistics, and probability theory with strong computational and analytical skills Senior Year Project: Colour quantisation using R and K-means clustering algorithm - Grade: 90% Applied unsupervised K-means clustering to optimise image representation with minimal colours Maintained visual quality while reducing computational complexity Group Project: Time series analysis using Kruskal-Wallis test for seasonality determination

🏆 Professional Certifications

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🚀 Building the Future of AI • One Model at a Time

💡 "Transforming complex data into intelligent solutions that make a real-world impact"