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RAG-based solution leveraging Azure services to analyze and extract insights from complex codebases.
Gaining hands-on experience in AI, machine learning, deep learning and data analysis techniques in Python. Engaged in multiple real-world use cases: GraphRAG for legacy codebase exploration, image generation using stable diffusion models, AI-assisted phishing email campaign and outcome analysis, regression model deployed for real estate price prediction.
Worked on developing a model for profiling cfDNA for early cancer detection, resulting in a research publication. Analyzed cell-free DNA from 500+ clinical samples with an end-to-end automated pipeline and identified key biomarkers.
Active member of a team responsible for processing and managing 200+ clinical samples per week.
Conducted end-to-end biological data analysis, leveraging custom scripts for efficient workflows.
Master's degree with CGPA: 8.59/10.
Bachelor's degree with CGPA: 8.76/10.