Software Engineer
AI/ML & Full-Stack

AI-driven platform that consolidates wearable, clinical, and lifestyle data into a unified dashboard for predictive health insights. Employs machine learning models trained on longitudinal datasets to forecast risks across cardiovascular, cancer, neurodegenerative, and metabolic conditions. Features interactive visualizations with percentile benchmarks, individualized risk profiles, and SHAP-driven explainability to surface transparent recommendations. Integrates evidence-based guidelines and precision medicine frameworks to suggest preventive interventions. Incorporates HIPAA-aligned privacy, encrypted storage, and role-based access to ensure secure, compliant data management while empowering patients and clinicians with actionable health intelligence.

Mobile-first swipe-based platform for capturing individual fashion and interior design preferences. Features computer vision models for visual embeddings and style detection, recommendation logic with scikit-learn and Hugging Face Transformers to unify fashion, furniture, and lifestyle aesthetics. Integrated ARKit/ARCore for real-time outfit try-ons and furniture visualization, incorporating cultural style signals from TV, Instagram, and TikTok aesthetics with direct links to fashion retailers for seamless product discovery, enabling personalized shopping journeys and highly engaging, interactive consumer experiences across digital and physical environments.

AI-powered corporate training platform designed to help employees learn faster and work smarter. Features an intelligent chatbot for real-time question answering with seamless escalation to human mentors for complex issues. Includes skill tracking dashboards, gamified learning features to improve engagement, and performance forecasting to personalize each employee's learning path. Reduces onboarding costs and accelerates overall skill acquisition across teams.

An AI-driven learning companion that fuses spaced repetition with generative models to create mnemonics, analogies, quizzes, and multi-layered explanations guiding students through techniques like the method of loci and Feynman learning so they not only memorize but actively reconstruct knowledge, while progress analytics adapt the system into a personalized tutor that evolves with each learner.

AI platform for trial operations that ingests ClinicalTrials.gov, PubMed, and synthetic EHR to forecast enrollment, flag dropout risk, and surface safety signals. NLP (BioBERT) parses inclusion/exclusion criteria into structured cohorts; FastAPI services power a React/TS app with what-if scenarios, site performance, and P10/50/90 forecast bands. HIPAA/GDPR-aligned with RBAC, audit logs, and encrypted storage.