Sid B.
Senior Software Engineer @Opro.Ai
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WORK HISTORY
Senior Software Engineer @Opro.Ai
Miami, FL, US
Led design and implementation of an event streaming platform on Kubernetes for industrial applications in air-gapped environments, securing ML workloads and accelerating multi-tenant PaaS adoption.• Streamlined inference infrastructure with multi-runtime containerization and TimescaleDB optimization, reducing compute usage by 22% in constrained environment with commodity compute.• Improved observability using Prometheus and Grafana while optimizing IoT streaming pipelines (MQTT, Apache Pulsar, custom data bridges), increasing uptime by 18% leading to less Ops overhead and savings.• Developed internal ML tooling and mentored engineers, enabling scalable deployments across 4+ Phillips66 sites.
EDUCATION
University of Leicester
Electrical, Electronics and Communications Engineering
The Johns Hopkins University
Master of Science (MS), Computer Science
SKILLS
ABOUT SID B.
I am a Senior Software Engineer specializing in distributed systems, real-time streaming platforms, and scalable cloud and AI infrastructure. Over the past 3+ years, I have built fault-tolerant systems powering AI/ML workloads in production, enabling operators, researchers, and engineers to deploy and operate models seamlessly across cloud and edge environments for industrial IoT.My background spans designing applications for resource-constrained environments, building inference platforms with model registries, optimizing large-scale data pipelines, and improving system performance using distributed caching and high-performance computing techniques. I have hands-on experience with GPU-accelerated computing and vector search systems, strengthening my expertise through certifications including NVIDIA-Certified Associate: AI Infrastructure and Operations, Fundamentals of Accelerated Computing with CUDA Python, Qdrant Essentials (Vector Databases), and Redis for Python Developers. These reinforce my work in AI infrastructure, GPU computing, semantic search, and scalable backend systems.At Petuum, I contributed to real-time streaming systems supporting decarbonization efforts in heavy industry. At Opro.ai, I developed scalable AI platforms for the oil & gas sector to improve operational efficiency, reduce emissions, and enable production-grade ML deployment. Currently, I am boosting the performance of a PaaS offering by enabling agentic AI capabilities in self-hosted air-gapped environments.I am passionate about architecting resilient, high-performance platforms that bring cutting-edge AI research into real-world production. I thrive in environments that demand innovation at scale, systems thinking, and cross-disciplinary collaboration.
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