Anuj Sharma — Software Engineer
I’m an engineering leader specializing in High Performance Computing (HPC), AI infrastructure, GPU acceleration, and large-scale distributed systems. My career has been shaped by a simple belief: when you build fast, reliable, and thoughtfully designed systems, the business unlocks value far beyond engineering metrics—often measured in millions of dollars. Over the years, I’ve led initiatives across HPC clusters, GPU compute pipelines, cloud-native architectures, and production-grade AI workloads. I’ve driven architectural transformations, optimized high-intensity compute systems, and solved performance bottlenecks that directly impacted product velocity, operational efficiency, and cost structure. My approach blends deep technical expertise with system-level thinking: • Improving GPU and HPC workloads through low-level optimization • Designing scalable, fault-tolerant distributed systems • Reducing cloud and compute spend at enterprise scale • Benchmarking, profiling, and tuning performance across CPU/GPU architectures • standardizing processes that elevate engineering quality and reliability As a Principal Engineer, I enjoy partnering with cross-functional leaders to guide technical direction, create long-term roadmaps, and mentor engineers so teams can deliver consistently at a high bar. I’ve contributed to org-wide improvement efforts—accelerating development workflows, strengthening reliability practices, and improving engineering culture. What motivates me most is building systems that last: systems that scale gracefully, systems that save money, systems that give teams leverage instead of overhead. My current interests include: • HPC & GPU performance engineering • AI/ML infrastructure and inference optimization • Containerized scientific workloads and cloud HPC • Distributed systems architecture • Platform engineering and developer experience • Designing org-level processes for high-performing teams I’m always open to thoughtful discussions around HPC, AI, distributed systems, and engineering leadership. If you’re solving meaningful performance or scale challenges, I’d be glad to connect.
Stackforce AI infers this person is a high-impact engineering leader in HPC and AI infrastructure.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 9 mos
Skills
- High Performance Computing (hpc)
- Gpu Computing
- Cost Optimization
Career Highlights
- Led multi-million-dollar improvements through HPC and AI initiatives.
- Expert in GPU acceleration and distributed systems architecture.
- Mentored engineers and drove architectural transformations.
Work Experience
Chevron
Principal Software Engineer - HPC, ML & AI (1 yr 1 mo)
Rakuten India
Technical Lead - HPC, ML & AI (3 yrs 8 mos)
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ICHEC
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BHR Group
Engineering Consultant - Computational Fluid Dynamics (2 yrs 6 mos)
Indian Institute of Technology, Bombay
Junior Research Fellow (8 mos)
National Engineering Industries Ltd.
Project Trainee (0 mo)
Education
Master of Science (MSc) at Cranfield University
Bachelor's Degree at Vellore Institute of Technology
