Professional Overview
AI/ML enthusiast focused on building practical solutions using Python and modern ML frameworks. Experienced in data preprocessing, model development, and deployment with NumPy, Pandas, scikit-learn, TensorFlow and PyTorch. Interested in deep learning, NLP, LLMs, CNN, RAG and applying research ideas to real-world problems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered clean datasets to boost model accuracy and reliability.
- Benchmarked ML models to identify high-performing solutions.
- Optimized data pipelines for scalable and consistent outputs.
Education
Field of Study: Mechanical with specialization in AI
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.