Chiranjeevi Gara

Software Engineer

Srikakulam, Andhra Pradesh, India7 yrs 5 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Achieved significant reductions in resource utilization.
  • Led cross-functional teams to drive innovation.
  • Developed frameworks enhancing low-power validation.
Stackforce AI infers this person is a Semiconductor Engineer specializing in low-power design and verification methodologies.

Contact

Skills

Core Skills

Low-power DesignAutomationRegression Testing

Other Skills

C++Python (Programming Language)Shell ScriptingLarge Language Models (LLM)GitHub CopilotZeBuSystemVerilogLinuxVerdiUnified Power Format (UPF)JiraUniversal Verification Methodology (UVM)PerlArtificial Intelligence (AI)

About

Dedicated Application Engineer with a strong foundation in electronic design automation and extensive experience in emulation, low power verification, and RTL design methodologies tailored to meet test plan objectives. Proven leader in driving innovative projects that enhance operational efficiency while minimizing resource utilization in fast-paced environments. Committed to continuous improvement and the pursuit of advanced technical skills, consistently optimizing processes to achieve superior results. Passion for problem-solving enables effective resolution of complex technical challenges, ensuring project success and stakeholder satisfaction.

Experience

7 yrs 5 mos
Total Experience
7 yrs 5 mos
Average Tenure
7 yrs 5 mos
Current Experience

Synopsys inc

5 roles

Staff Application Engineer

Promoted

Feb 2024Present · 2 yrs 4 mos

  • Spearheaded the SEM-GATE early RTL bring-up initiative, achieving a 40% reduction in bring-up time and 30% decrease in resource utilization, accelerating overall project timelines.
  • Designed and executed Randomized UTF testing to enhance ZeBu compilation robustness, to uncover critical bugs pre-OST by experimenting with diverse UTF command permutations.
  • Leading a cross-functional team of 7, driving innovation by collecting and implementing ideas across ZeBu components, fostering collaboration and measurable improvements in flow efficiency.
  • Implemented incremental L0 BM setup for large design compilation, resulting in a 30% reduction in compile time and 25% savings in resource usage, optimizing throughput.
  • Built ZeBu Failure Analyzer using GitHub Copilot (agentic mode) and internal LLM to streamline regression failure analysis.
C++Python (Programming Language)Shell ScriptingLarge Language Models (LLM)GitHub CopilotZeBu+5

Application Engineer Senior I

Promoted

Jun 2022Jun 2024 · 2 yrs

  • Designed a Random UPF Generation framework to dynamically attach UPF constructs to RTL designs, enabling early in-house detection of power intent issues.
  • Developed a Unified Automatic Regression Tracking system integrated with Jira for unit-level testcases and benchmarks, enhancing debug traceability and saving over 200 engineering hours per week across the team.
  • Implemented the Scalene UPF flow to enable parallel compilation during the VCS stage, achieving a 50% reduction in front-end compile time and accelerating simulation readiness.
  • Built a Randomized RTL Testing methodology, creating a stress-testing framework to proactively uncover issues linked to customer-reported Jira tickets, improving robustness .
Regression TestingC++Python (Programming Language)Unified Power Format (UPF)Shell ScriptingGitHub Copilot+5

Application Engineer II

Promoted

Dec 2020Jun 2022 · 1 yr 6 mos

  • Developed WaveBkt, an automated waveform mismatch analysis tool that reduced debug time by 50%, accelerating regression triage and improving validation efficiency.
  • Engineered RTL-Stitching framework to aggregate unit-level RTLs into large-scale designs, enabling comprehensive ZeBu flow validation and enhancing scalability of test environments.
  • Built a Plug-and-Play mechanism for ZeBu features, allowing dynamic enablement of compile-time and runtime options per RTL. This setup automated environment configuration and executed full ZeBu flow
  • with integrated self-checking.
  • Implemented lightweight UPF and developed low-power assertions to enable faster validation and early detection of power intent issues
Regression TestingC++Python (Programming Language)Unified Power Format (UPF)Shell ScriptingZeBu+4

Application Engineer I

Jan 2019Dec 2020 · 1 yr 11 mos

  • I played a pivotal role in enhancing low-power validation processes at Synopsys Inc, achieving significant improvements in efficiency.
  • Integrated UPF 2.0 support into ZeBu, enhancing validation coverage for complex designs.
  • Reduced zTopBuild compile time from 1 hour to just 10 minutes through RhinoDB support.
  • Achieved a 20% reduction in compile time by optimizing Power Network Modeling.

Technical Intern

Oct 2017Dec 2018 · 1 yr 2 mos

  • During my internship at Synopsys Inc., I focused on validating low-power runtime APIs and ensuring the stability of synthesis flows. I handled VCS synthesis regressions and validated UPF regressions using formal checks, which significantly improved power intent verification. This experience allowed me to develop strong analytical and problem-solving skills in a leading semiconductor company.
Regression TestingUnified Power Format (UPF)Shell ScriptingZeBuSystemVerilogLinux+2

Education

RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, NUZVID

Bachelor's degree — Electronics and Communication Engineering

Jan 2013Jan 2017

RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, NUZVID

Intermediate(10+2) — M.Bi.P.C

Sep 2011May 2013

ZPH SCHOOL AMALAPADU

High School

Jun 2008May 2011

Stackforce found 100+ more professionals with Low-power Design & Automation

Explore similar profiles based on matching skills and experience