Professional Overview
I bring a strong technical foundation in programming with expertise in Python and C++, complemented by hands-on experience with libraries and frameworks such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and LangChain. My proficiency extends to database management with SQL and development tools like Google Colab, Anaconda, Git, and VS Code. Additionally, I am skilled in building machine learning models, deploying AI applications, and leveraging platforms like Oracle Cloud and Google Cloud for smart analytics and AI-driven solutions.
Areas of Expertise
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
