
I'm a Computer Science student specializing in machine learning, software engineering, and large-scale data systems. I've built ML pipelines, computer vision applications, and predictive models applied to robotics and satellite data, with a strong focus on scalability and fault tolerance. I'm passionate about applying AI in FinTech, developing models for fraud detection, risk management, and financial forecasting. My goal is to design systems that deliver measurable business impact through data-driven decisions.

AI-powered resume analysis with ATS scoring, keyword gaps, and recruiter-ready rewrites.

Built an LSTM-based model to forecast NVIDIA's stock price with expanding-window validationβrelevant to risk modeling & trading.
Implemented a 124M-parameter GPT-2 from scratch with GPU acceleration.
I'm actively seeking Software Engineer / Machine Learning Engineer opportunities in Tech and FinTech, where I can apply expertise in scalable ML systems looking for someone who can turn data into decisions, let's connect.