Software Engineer specializing in full-stack web systems, data science, and applied machine learning — Flask/SQLAlchemy backends, API integrations, and Firebase apps alongside encryption pipelines and AI optimization. AWS Certified AI Practitioner & Indian Patent Co-inventor.
Backend for Constantine Advisory Services: candidate onboarding, lawyer management, and case-result tracking, built on Flask and SQLAlchemy. Integrated eCourts/CNR APIs for PAN-India background verification, reaching ~85% accuracy across litigation records.
Hybrid image encryption system pairing AES with Arnold's Cat Map to scramble and encrypt in one pipeline. Verified strength with pixel-correlation and histogram analysis before shipping a Streamlit demo.
Four-class classifier for endoscopic images (normal, polyps, ulcer, esophagitis) built on a fine-tuned ResNet50, swapping in a global-average-pooling head with softmax output for the target classes.
Exploratory data analysis on a brain-tumor imaging dataset, followed by a TensorFlow classification model to support detection from the findings.
Co-inventor. Proposed a data-driven optimization framework for sizing solar-plus-storage (PV-BESS) microgrids reliably even when operating data is uncertain or limited.
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