Dwija Reddy Adamala

Engineered high-performance compliance agents processing millions of healthcare AI transactions daily with sub-millisecond response times and 99.99% uptime, implementing secure distributed systems and HIPAA-compliant real-time monitoring.

Built secure backend systems and RESTful APIs with Python, SQL, and FastAPI to support concurrent sessions and real-time data processing, achieving 99.9% uptime and launching a pilot for 200+ families.

Built an agentic LLM pipeline to extract structured data from 3,000+ spinal fusion notes, automating comorbidity tagging and procedure classification to support neurosurgical decision-making and outcome modeling.

Won 1st of 340+ teams at TechReMIXED with an AI platform for postpartum depression screening and was accepted into Cardinal Ventures accelerator, securing mentorship and $100K+ in funding opportunities.

Built a mobile app for melanoma risk scoring using GLCM texture features and adaptive segmentation, implementing preprocessing pipelines and pixel-wise classification to generate risk heatmaps and confidence scores.

Developed an Arduino-based wearable with 3-axis sensors for detecting tremors in autistic children, implementing real-time signal processing and time-series classification with optimized hardware calibration.

Activities and societies: Relevant coursework in algorithms, statistics, and AI; involvement in Stanford Neuro AI/ML Lab and student biotech organizations.

Pursuing a Bachelor of Science in Computer Science with an AI track, coursework includes Programming Abstractions, Probability & Statistics for Computer Scientists, and Seminar in Artificial Intelligence and Healthcare.