Professional Overview
I am a final-year B.Tech student specializing in Artificial Intelligence and Machine Learning with hands-on experience in data science, computer vision, and quantitative finance research. My work spans building ML-driven stock selection models using quantum computing frameworks, developing sentiment analysis pipelines for financial news, and applying AI to real-world challenges in finance and business. With strong foundations in Python, TensorFlow, SQL, and modern AI tools, I am passionate about solving complex problems at the intersection of AI, finance, and technology.
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.
