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Texas Instruments
Data Scientist
June 18, 2026 – Present
TechDocs-GPT
June 9, 2025 – June 27, 2025
Team17-Engineering Copilot using LLMs augmented with Public and Proprietary Documentation
View ProjectEO020-Numerical-Methods
June 11, 2021 – June 14, 2021
EO020-Numerical-Methods — GitHub repository
View ProjectArtificial-Intelligence
August 22, 2020 – September 18, 2020
Artificial-Intelligence — GitHub repository
View ProjectVLSI-ECC20-NSIT
April 5, 2020 – April 22, 2020
LTSpice Implementation and analysis of VLSI designs learned in college in the course ECC20
View ProjectAnalog-Filter-Design
April 1, 2020 – July 3, 2020
SPICE implementation and simulation of several Analog filters studied in the course ECD07
View ProjectBuilding-RTOS
April 1, 2020 – July 14, 2020
Building up a RTOS for Texas Instruments' MSP432P4111 Development board
View Projectrtos-and-stm32
March 31, 2020 – April 18, 2020
Developing applications and understanding kernel of FreeRTOS with STM32F4x Nucleo Board
View ProjectSpartan6-Projects
March 13, 2020 – April 16, 2020
This repository contains projects for Xilinx Spartan 6 FPGA written in VHDL.
View ProjectMSP432-TI-RTOS-CCS
February 9, 2020 – April 24, 2020
These are Code Composer Studio projects for TI's MSP432P4111 Launchpad
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards embedded systems, hardware description languages (VHDL, Verilog), and real-time operating systems (RTOS). While there are a few AI/ML-related projects, the majority of the personal projects lean heavily into low-level programming and hardware. This suggests a potential misalignment with a pure Data Scientist role, which typically requires a stronger focus on statistical modeling, machine learning algorithms, data manipulation, and cloud platforms. The current experience at Texas Instruments is listed as 'Data Scientist' but without any details on responsibilities or achievements, it's difficult to ascertain the depth of their data science experience. The breadth of skills is high, but the relevance to the target role is mixed.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.