Hi, I'm LN.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UVM_Ethernet_PCS
May 4, 2026 – Present
A UVM testbench for verifying Ethernet PCS Encoder model in Transmitter
View ProjectPipelined-RISC-V
January 5, 2026 – Present
FPGA implementation of Pipelined RISC V architecture
View ProjectL1-Data-Cache
January 4, 2026 – Present
Implementation of caches and performance profiling.
View ProjectReduced-Instruction-Set-Computer
November 24, 2025 – November 24, 2025
The design and implementation of an instruction set of a stripped-down RISC CPU.
View ProjectSig2Sig
December 15, 2024 – December 15, 2024
An OFDM Channel estimator and equalizer based on the Pix2Pix architecture. This is a Deep learning approach for Channel estimation problem.
View ProjectStopwatch
October 26, 2024 – Present
A Simple Stopwatch implemented on an FPGA board using Verilog HDL.
View ProjectCultural Fit Analysis
The candidate's projects are diverse, ranging from deep learning to hardware description languages (Verilog, SystemVerilog, VHDL) and embedded systems. While this shows a broad technical interest, the majority of projects are heavily focused on hardware design and verification (UVM, RISC-V, FPGA implementations, caches), which deviates significantly from a typical Data Scientist role. The 'Sig2Sig' project is the most relevant to Data Science, but it's a single instance among many hardware-centric projects. This suggests a potential mismatch in primary interest and expertise for a pure Data Scientist role, though the deep learning project indicates some alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.