AI Engineer | Applied Machine Learning & NLP Specialist

Machine Learning & Deep Learning
Expertise in building and training deep learning models using PyTorch and TensorFlow, including GPT-style transformer architectures with tokenization, multi-head self-attention, and positional encoding. Experience developing predictive pipelines using Random Forest, SVM, and Logistic Regression.

Retrieval-Augmented Generation (RAG) & LLM Workflows
Design and implementation of RAG workflows using vector databases and large language models for faster retrieval in custom applications. Proficiency in prompt engineering, LLM agent development, and frameworks such as LangChain and LangGraph.

API Development & Backend Engineering
Development of REST APIs using FastAPI to support decision-making and workflow automation. Proficiency in Python, TypeScript, SQL, and Java for building scalable, usable software systems.

Natural Language Processing (NLP)
Application of NLP techniques including transformer components in PyTorch for text classification, email summarization, spam detection, and thread drafting. Experience with Hugging Face models and NLP pipelines.

Computer Vision
Development of computer vision models for agricultural use cases, including a crop-disease identification model achieving 92% classification accuracy on evaluated datasets.

Data Analytics & Science
Proficiency in data cleaning, exploratory data analysis (EDA), statistics, data visualization, and predictive modelling using tools such as Pandas, SQL, and Scikit-learn.

Frameworks & Libraries
Hands-on experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LangGraph for building and deploying AI and machine learning solutions.

AI Instruction & Project Coordination
Teaching Python, TypeScript, and machine learning concepts through practical, project-based learning activities. Coordination of project delivery for 35+ students and development of organisational websites.