Help & Supportcareers@gravityer.com
B.Sc in Electrical and Electronic Engineering | Design Verification Engineer | Research Interests: SoC, Architecture, AI Accelerators, Compute-In-Memory
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ulkasemi Private Limited
Data Scientist
June 27, 2026 – Present
highspeed-memory-and-interconnects
June 25, 2025 – June 26, 2025
Reference and resources for understanding and working with HBM, DDR, LPDDR, and UCIe.
View Projectahb-apb-bridge-design-verification
June 20, 2025 – June 20, 2025
RTL Design and Functional Verification of AHB to APB Bridge
View Projectuchchhash.github.io
June 19, 2025 – November 30, 2025
My portfolio showcasing credentials, experience, and research interests
View Projectrtl-dv-foundational-modules
June 18, 2025 – June 18, 2025
RTL Design and Functional Verification of Foundational Digital Modules (Traffic Light Controller, 4-bit Binary Counter and Universal Shift Register)
View Projectbus-protocol-verification
June 16, 2025 – June 20, 2025
Functional Verification of AMBA APB, AHB, AXI Slave, I2C Slave & SPI Controller
View ProjectWeb-Scraping-with-Python
July 20, 2021 – July 20, 2021
Web scrapping using python libraries such as BeautifulSoup, Selenium, Scrapy
View Projectml-prediction-projects
April 17, 2021 – June 17, 2025
Data analysis and Prediction on various datasets.
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards hardware description languages (Systemverilog, Verilog) and digital design verification, which is not directly aligned with a Data Scientist role. While there are some data science and web scraping projects, the majority of personal projects lean towards hardware engineering. This indicates a potential mismatch with the target role's core requirements, suggesting a need to evaluate the candidate's true passion and focus for data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.