Alok Thakur

Software Engineer

Patna, Bihar, India4 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Achieved significant power reduction in Snapdragon SoC.
  • Expert in SoC power optimization and system-level debugging.
  • Strong foundation in AI-driven low-power management models.
Stackforce AI infers this person is a Semiconductor and AI-focused Software Engineer with expertise in power optimization.

Contact

Skills

Core Skills

Soc Power OptimizationKernel-level DebuggingData ScienceNew Business Development

Other Skills

Kernel DebuggingJTAGGDBLog & Trace ProfilingPost-Silicon ValidationARM ArchitectureHW–SW Co‑AnalysisSystem-Level TuningAI/ML AlgorithmsPythonSQLData VisualizationSoftware DevelopmentSoftware as a Service (SaaS)Low‑Power Architecture

About

With a Bachelor’s degree in Computer Science and Engineering from NIT Jamshedpur, I work at Qualcomm focusing on SoC power optimization and system-level debugging to improve device efficiency and performance. SoC Power Optimization · Low‑Power Architecture · HW–SW Co‑Analysis · Kernel Debugging · Scheduler Analysis · JTAG · GDB · Boundary Scan · Log & Trace Profiling · Post-Silicon Validation · ARM Architecture · DVFS · Clock/Power Gating · Embedded Software · Cross-Platform Power Validation My role involves implementing power optimization techniques, performing kernel and system debugging, and isolating hardware–software inefficiencies using GDB-based tools, JTAG debuggers, and detailed log analysis. I collaborate closely with global teams to analyze power metrics, conduct remote power profiling, and ensure reliable validation across advanced SoC platforms. Driven by the pursuit of energy-efficient computing, I continue to explore low-power management models and their intersection with AI-driven systems, contributing to scalable, high-performance silicon for next-generation devices.

Experience

4 yrs 9 mos
Total Experience
3 yrs 5 mos
Average Tenure
1 yr 4 mos
Current Experience

Qualcomm

Associate Software Engineer

Jan 2025Present · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

  • SoC Power Optimization | LPM & System Power States | Networking & Hypervisor Awareness | 3nm → 2nm Platforms | Snapdragon® Elite Gen 5
  • Engineered SoC‑level low‑power performance optimizations on advanced 3nm architectures, with forward‑looking enablement for 2nm platform bring‑up
  • Contributed to power optimization on Snapdragon® Elite Gen 5, achieving ~70% power reduction through deep HW–SW co‑analysis, workload characterization, and system‑level tuning
  • Analyzed and validated Low Power Modes (LPMs) across idle, suspend, and runtime scenarios, including clock gating, power‑domain control, and subsystem residency analysis
  • Performed kernel‑level debugging and scheduler analysis to identify power inefficiencies related to task placement, wakeups, and latency‑sensitive workloads
  • Supported networking and I/O power optimization by analyzing wake‑up sources, interrupt behavior, and traffic‑driven power impact across system power states
  • Validated power and performance behavior in hypervisor‑based and multi‑VM environments, including cross‑VM resource sharing and isolation scenarios
  • Hands‑on with JTAG and GDB‑based debugging, enabling real‑time validation, boundary‑scan/register monitoring, and root‑cause analysis of silicon‑level power and performance issues
  • Conducted log‑driven power profiling and validation using internal tools (Kratos) and platform diagnostics for pre‑silicon and post‑silicon debugging
  • Collaborated closely with San Diego teams on power metrics evaluation, remote power profiling, networking/LPM validation, and cross‑platform bring‑up
  • Acted as a bridge across silicon, kernel, hypervisor, and system software, driving cohesive power‑performance optimization across the stack
SoC Power OptimizationKernel DebuggingJTAGGDBLog & Trace ProfilingPost-Silicon Validation+2

Simpl

Data Scientist Fraud Investigator - Intern

Jan 2024Sep 2024 · 8 mos · India · On-site

  • Utilized AI/ML algorithms to detect patterns in data for anti-fraud measures, enhancing the company's fraud detection capabilities.
  • Collaborated with a team to develop and implement CRM solutions, utilizing Python, SQL, MySQL, and Java for data engineering.
  • Contributed to improving the company's anti-fraud proficiency through advanced data pattern visualization techniques.
AI/ML AlgorithmsPythonSQLData VisualizationData Science

Chegg inc.

CHEGG EXPERT Q&A

Nov 2021Mar 2023 · 1 yr 4 mos

Software Development

Codecanyons.net - buy plugin, scripts & application

Freelance Software Developer

Jan 2020Mar 2023 · 3 yrs 2 mos · Patna, BR, India

Software Development

Tc kart

Founder

Jan 2017Jun 2020 · 3 yrs 5 mos

  • TC KART INDIA is an online portal for all your daily needs. It saves you time, money, and helps lessen your workload, making life easier and happier :)
New Business DevelopmentSoftware as a Service (SaaS)

Education

National Institute of Technology Jamshedpur

Bachelor Of Computer Science And Engineering — Computer Science

Jun 2020May 2024

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