Ammar Bandukwala

About Ammar Bandukwala

Empowering Innovation Through Code, Cloud, and AI I’m a Lead Software Engineer & Technical Lead who thrives at the intersection of scalable architecture, cloud-native solutions, and intelligent automation. From concept to deployment, I bring ideas to life through a blend of engineering precision, creative problem-solving, and collaborative leadership. Architecting at Scale — Designing and delivering robust, high-performance systems across web and desktop platforms. My toolkit spans microservices, container orchestration, and cloud ecosystems like AWS, Azure, and Google Cloud.🤖 Integrating AI into the Real World — Beyond experimentation, I focus on practical AI adoption: embedding LLMs, agents, and machine learning workflows into production systems that solve real business problems. Data-Driven Decision Making — Transforming raw data into actionable insights through exploratory analysis, visualization, and statistical modeling. I believe data tells a story — my job is to make it clear, accurate, and impactful. Continuous Evolution — Technology never stands still, and neither do I. I’m committed to lifelong learning, staying ahead of emerging trends, and translating them into tangible value for teams and organizations. Let’s Build the Future Together — Whether you’re exploring cloud transformation, AI integration, or scaling complex systems, I’m always open to connecting with innovators who share a passion for pushing boundaries.

Experience

1. System Architect - Operational Technology - Iiot

   Chevron

   Feb 2022 — Present · Houston, TX, US

   Directing architecture and implementation of Azure based PaaS/SaaS solutions within the organization.· Developing enterprise scale stack to deploy machine learning models leveraging Azure Machine Learning, Synapse, and Azure Kubernetes Service for full end to end deployment from data set engineering, model training, model deployment, and monitoring.· Conduct code review with GitFlow, pull-request approvals, build validation policies, and help collaborate with teams on sound design patterns. · Lead enterprise Industrial Internet of Things initiatives leveraging ThingStack, Azure IoT, and Inductive Automation Ignition. Utilize a number of wireless technologies such as LoRaWAN, LTE-Cellular, Bluetooth, and Wifi to enable industrial sensor networks to enable use cases such as location tracking, leak detection, vibration, temperature, and pressure monitoring workflows. · Designed and developed extensive micro service-based architecture to process streaming data using specialize python containers and notebooks.

Education

• University of Houston

  BS, MS, Computer Science, Computer Information Systems