Professional Overview
I am a passionate AI and machine learning enthusiast with hands-on experience in computer vision, natural language processing, and prompt tuning for multimodal models. With a strong foundation in Python, PyTorch, and tools like Streamlit, I’ve led innovative projects ranging from zero-shot image classification to real-time abbreviation detection using BERT and RoBERTa. My experience includes a data science internship and teaching roles, where I demonstrated both technical depth and communication skills. I thrive in collaborative environments, adapt quickly to new challenges, and bring a research-driven yet practical approach to building scalable AI solutions.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
