Neetesh Singh — Software Engineer

🎯 XR System Architect | SoC Performance & Power Strategist | Camera Systems & Memory Optimization | Cross-Vendor Use Case Architect I specialize in full-stack architecture design for XR systems, owning the translation of product definition (PDM) into actionable SoC-level specifications. 🧠 Currently driving architecture efforts at Qualcomm’s XR division, where I: 🔹 Architect system-wide CPU, GPU, memory, and cache configurations based on worst-case concurrency analysis and IP-level residency profiling 🔹 Define LLC (Last Level Cache) allocation policies, balancing rendering, composition, and vision workloads to maximize latency-critical buffer residency 🔹 Model and define peak concurrency matrices to dimension PMIC load curves, including SMPS/LDO rail optimization 🔹 Create and validate multi-vendor use case blueprints, covering rendering, perception, camera, voice UI, and streaming pipelines 🔹 Deliver quantitative projections for bandwidth, memory footprint, and power profiles — enabling pre-silicon feasibility studies and SoC tradeoff decisions With deep technical ownership in camera systems, embedded performance, and memory hierarchy tuning, I align silicon capabilities with aggressive product goals. My past work spans: ▪ Cross-stack optimization: Linux kernel, CPU/GPU scheduling, ION/HEAP memory tuning ▪ Compiler performance debugging, cache behavior modeling ▪ DevOps pipelines, camera driver bring-up, and SoC validation 📈 Vendors and OEMs often consult me for: • Architectural reviews for XR, camera, and multimedia workloads • Thermal-aware power modeling • DDR bandwidth efficiency, TCM/LLC reuse, and pipeline concurrency Let’s collaborate if you’re designing: ✔️ XR/MR/AR products ✔️ New camera pipelines or low-power vision stacks ✔️ SoC bring-up or pre-silicon platform feasibility Have Expertise in providing Solutions for scalable Models. Complete ownership of Models for all stages of SDLC for Performance & Compiler Domain. Expert in Devops server setup and execution. Camera Architecture improvement and optimization. Big Data Analysis to find out market demand/Performance Glitch and try to conceptualize the solutions for that. Patent Details: Title: System and Method for Scheduling in a multi-processor Application Number: 3168/DEL/2015 A Date of filling: 01/10/2015 Publication Date: 07/04/2017 Always reachable at neeteshsingh43@gmail.com

Stackforce AI infers this person is a specialized architect in XR systems and camera optimization within the tech industry.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 9 mos