Mayuresh Satao

Guided 100+ graduate students in designing immersive virtual environments using C# in Unity and C++ in Unreal Engine. Provided technical guidance on 3D scene design, physics simulations, VR interactions, shader programming, and troubleshooting engine-specific issues.

Created drag-and-drop plate designer for Organ-on-a-Chip experiments using React and Django on AWS, enabling scientists to visually arrange samples and conditions, cutting setup time by 85%. Built automated visualization dashboards using Python (Plotly/Matplotlib) to analyze spatiotemporal disease progression and identify drug efficacy patterns 20% faster. Developed automated data processing pipeline using Python, AWS Lambda, S3, and SNS to analyze 10GB+ of raw microscopy image data per day, improving processing efficiency by 60%. Built production CI/CD pipeline using GitHub Actions and ArgoCD’s app-of-apps pattern, enabling 20+ weekly zero-downtime releases and reducing deployment time by 93%. Implemented automated testing suite using Pytest and GitHub Actions, delivering 200+ tests and reducing production bugs by 30%.

Architected AI-powered legal research platform for LawCrux Advisors using Spring Boot and Angular, integrating LLM for case law search across 100K+ legal documents, serving 50+ law firms and corporate legal teams. Built real-time collaborative editing framework using Django Channels and React, implementing WebSocket-based synchronization with operational transformation for conflict resolution. Built enterprise workforce management ERP for CAIT Edusys deployed across 60+ locations, managing onboarding, payroll, attendance, and compliance for 10K+ blue-collar employees. Engineered AI agent for supply chain optimization using LangChain and GPT-3.5-turbo, automating demand forecasting, supplier API integrations, and dynamic routing decisions based on real-time Kafka events. Built video processing pipeline using FFmpeg and AWS Lambda to transcode uploads into multiple formats, generate thumbnails, and implement HLS adaptive streaming, processing 10K+ videos monthly.