R Rajasekar

Built real-time IoT data pipelines (50M+ sensor data points daily) for a product launched in India, supporting marginalized farmers. Designed database structures and microservices, ensuring scalable, client-specific data handling for enterprises including Tesla and Toyota. Deployed microservices and databases to Kubernetes clusters, integrating PostgreSQL, Python, and AWS services for cloud scalability. Developed ETL workflows with Airflow and Pandas across multi-cloud environments, improving reliability and processing efficiency. Implemented ML-driven email validation and security models, strengthening platform protection. Optimized SQL queries and database performance for high-volume workloads. Ensured GDPR-compliant data governance while collaborating with cross-functional teams on scalable data solutions.

Spearheaded development and Chief Inventor of an automated inventory stock-taking system using drones and ground robots, integrating computer vision and AI techniques. Developed cross-platform UIs for macOS, Windows, and Android; ensured seamless usability across diverse environments. Built a main frame UI using Flask API, Web Sockets, and HTML for real-time data visualization and system monitoring. Implemented multi-threading and ROS-based automation to synchronize drone and robot operations. Deployed AI models on Google Vertex AI and AWS SageMaker, integrated with backend systems for real-time inference and analytics. Trained and implemented custom AI models such as YOLOv8, PyTorch, ONNX, and TensorFlow for pallet and box detection in warehouses. Integrated barcode scanners and OCR to enhance inventory tracking. Developed a custom web app using TypeScript, Flask, and MongoDB to generate inventory scan reports and visualizations. Led and collaborated with cross-functional teams to ens

Served as a Board Member in a consortium of five partners, providing strategic oversight and governance across diversified investment portfolios in the Asia Pacific region. Contributed to investment decision‑making across multiple sectors including agriculture/agribusiness, healthcare technology, real estate development, manufacturing assets, and satellite/space tech ventures. Conducted financial due diligence, risk assessment, and ROI analysis to guide capital allocation. Collaborated with consortium partners to align investment strategies with long‑term growth while upholding compliance and governance standards.