Rahul Madan Raju

Led the architecture and delivery of ML platforms for scientific computing and simulation, serving as interim technical lead for a distributed engineering team across four countries. Designed scalable workflow orchestration, MLOps, and event-driven systems using Flyte and RabbitMQ, while driving engineering excellence through CI/CD, testing, observability (MLflow, Grafana), and architectural best practices. Owned end-to-end delivery of production systems and managed AWS/Azure access governance.

Contributed to the design and delivery of a Digital Twin Factory platform for cell culture engineering across AWS and customer-managed infrastructure. Built scalable data, ML, and simulation pipelines and helped modernize a large Python backend into a modular, API-first architecture. Developed a standardized data integration pipeline, reducing data preparation time by 50%, and supported a hybrid MLOps platform (GitLab, Docker, JupyterHub) for end-to-end ML workflows.

Contributed to NLP solutions for engineering-domain text analytics using BERT, TF-IDF, LDA, CorEx, and Topicloom. Built and optimized topic modeling and clustering systems for large-scale text corpora, improving categorization accuracy. Designed and developed the ROKIN NLP Pipeline, powering the company's core NLP and web-crawling platform. Collaborated in a fast-paced AI startup, working across teams to deliver scalable Big Data and NLP solutions.

Event/Data Labeling Research in Measurements and Technology Hands on the functionality in EMG and FSR Sensors Processing of video streaming data Web-page Design and Android Application Development Latex-Overleaf, JS, XAML, PHP, XML and Android

Develop scripts for test plans using Python and MABOT. Work on triaging the Continuous Automation Test (CAT), and prepare reports on Continuous Hours of Operation (CHO) and Longevity. Raise Quixes for the failed test cases and update the Field Replaceable Units (FRU) for every new build.

Machine Learning in Fundamentals, Case Studies, Deployment and Production Projects: Time Series Prediction and Forecasting Natural Language Processing Fraud Detection Deployment of Custom Models

Computer Vision, Machine Learning , Digital Signal Processing, Software Platform for Automotive System, Smart and Automotive Sensor System Investigation and Implementation of New Feature Selection Binary Optimizer-Random Walk Binary Grey Wolf Optimizer,