Professional Overview
I'm a Machine Learning Engineer with experience across computer vision, NLP, and optimizing large-scale models. Skilled in building end-to-end PyTorch pipelines and resolving complex training instabilities, with a strong background in data engineering and an evolving focus on Generative AI and agentic systems
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Debugged and optimized 300+ ML training tasks across PyTorch-based pipelines
- Designed and implemented structured training plans and Python automation scripts
- Assessed competing 30+ ML experimentation strategies by reasoning
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Owned end-to-end quarterly reporting for Visa and Mastercard partnerships.
- Reduced report execution time by 50% by re-engineering legacy SQL code
- Managed on-call responsibilities and responded promptly to urgent operations
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered ML solutions across 5 projects including GAN implementation, cGAN arch
- review from a research paper, and ETL+ML pipelines; maintained 100% job success
- Domains covered: computer vision, generative models, and financial time-series.
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.
