Professional Overview
I'm seeking an NLP or ML role where the work is technically deep and genuinely impactful. I've trained Transformers from scratch, fine-tuned LLaMA-3 with QLoRA, and built self-corrective RAG pipelines now I want to apply that at scale with a team that pushes boundaries.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built GPT-style Transformer from scratch in PyTorch with custom BPE tokenizer an
- Fine-tuned LLaMA-3 8B with QLoRA on SQuAD v2; published adapter to HuggingFace H
- Built 3-pipeline RAG system with LangGraph self-correction loop, LLM-as-judge, a
- Deployed autonomous AI agent with Neo4j graph memory, ReAct reasoning, and multi
- Built Seq2Seq LSTM translation model from scratch and deployed via FastAPI
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
