What I Work With

Technical Stack

A Generative AI and ML engineer who has shipped real systems from RAG and LLM fine-tuning through MLOps and the work of making things actually fast in production.

Technical Skills

LANGUAGES

Python
JavaScript
HTML
CSS
SQL

FRAMEWORKS & LIBRARIES

LangChain LangChain
LangGraph LangGraph
Hugging Face Hugging Face
TensorFlow
PyTorch
Scikit-learn
FastAPI
React
Streamlit

TOOLS & PLATFORMS

Git
Docker
AWS
Azure
Linux
VS Code
Jupyter
Postman
GitHub

Domain Expertise

Generative AI

  • RAG Pipelines
  • LLM Orchestration
  • Prompt Engineering
  • Fine-Tuning (LoRA)
  • Vector Databases
  • Embeddings
  • Chunking Strategies
  • Reranking
  • Context Management
  • Token Optimisation
  • Citation Extraction
  • Multimodal AI

Agentic AI

  • LangGraph
  • Multi-Agent Systems
  • Tool Calling
  • ReAct Pattern
  • Memory Management
  • State Machines
  • AutoGen
  • CrewAI
  • Agent Orchestration
  • Planning & Reflection

Deep Learning

  • Transformers
  • Attention Mechanisms
  • BERT / GPT Architecture
  • Transfer Learning
  • LoRA / PEFT
  • CNNs
  • RNNs / LSTMs
  • Sequence Models

Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Feature Engineering
  • Ensemble Methods
  • Cross-Validation
  • Model Evaluation
  • Pipeline Design
  • Hyperparameter Tuning

MLOps & Infrastructure

  • Model Serving (FastAPI)
  • Azure ML
  • CI/CD Pipelines
  • Containerisation
  • Latency Optimisation
  • Observability (Kibana)
  • Async Python
  • Production Deployment

NLP & Text Processing

  • Text Classification
  • Named Entity Recognition
  • Semantic Search
  • Document Parsing
  • Summarisation
  • Question Answering
  • Information Extraction
  • Text Chunking

Completed Courses

Machine Learning Specialization Certificate

Machine Learning Specialization

Stanford University & DeepLearning.AI
Issued September 26, 2022

Professional Certificate covering ML fundamentals, advanced architectures, and how to put models into real use.

PyTorch Neural Networks TorchVision
Deep Learning Specialization Certificate

Deep Learning Specialization

DeepLearning.AI
Mar 2025 — May 2025

A full run through deep learning — from neural networks and sequence models to attention and Transformers.

Neural Networks Sequence Models Attention Mechanisms Transformers
Mathematics for Machine Learning and Data Science Certificate

Mathematics for Machine Learning and Data Science

DeepLearning.AI
Jun 2023 — Jun 2024

The maths behind ML and data science — linear algebra, calculus, probability, and statistics, with the why and not just the how.

Linear Algebra Calculus Probability Statistics
Probability & Statistics for Machine Learning & Data Science Certificate

Probability & Statistics for Machine Learning & Data Science

DeepLearning.AI
Issued Mar 2024

A deep dive into probability and the statistical methods you actually need for ML and data science work.

Probability Theory Statistical Inference Hypothesis Testing
Data Science Certificate

Data Science

Simplilearn
Sep 2023 — Feb 2024

A full data science program covering data wrangling, exploring data, machine learning, and bringing it all together with visuals.

Data Wrangling Machine Learning Data Visualization
Tableau Desktop 10 Qualified Associate Certificate

Tableau Desktop 10 Qualified Associate

Simplilearn
Issued 2023

Certification confirming hands-on skill with Tableau Desktop — building visuals, dashboards, and the analytics that go with them.

Tableau Data Visualization Dashboards
AI for Everyone Certificate

AI for Everyone

DeepLearning.AI
Issued 2022

A non-technical walk through what AI can and cannot do, how to think about strategy, and where it touches society — built for the gap between AI folks and business folks.

AI Strategy AI Ethics Machine Learning
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