Professional Overview
Results-oriented AI/ML Intern with 6 months of experience and a strong foundation in machine learning, deep learning, and generative AI, gained through hands-on projects and providing one-on-one mentoring to fellow students. Proficient in developing advanced AI solutions utilizing TensorFlow, Keras, and large language models (LLMs) for applications in natural language processing and data generation. Demonstrated ability to optimize algorithms and fine-tune models to derive actionable insights from complex datasets. Seeking to leverage my expertise to drive data-driven decision-making and support technological innovation in AI-focused roles within a collaborative, forward-thinking environment.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
