Vignesh Ethiraj
Data ScientistCTO - NetoAI
NetoAi
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CTO - NetoAI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NetoAi
Data Scientist
June 16, 2026 – Present
Netoai-Llm-Eval
June 16, 2025 – June 18, 2025
A modular Python framework for evaluating Large Language Models (LLMs) using another LLM as a judge. This framework generates responses to questions and evaluates them against ground truth answers, producing numerical scores.
View ProjectInteracting-with-Ryu
June 22, 2018 – June 22, 2018
This repository consist of program to control and manage the network through REST APIs in Ryu SDN Controller.
View ProjectDictionary
October 14, 2017 – October 14, 2017
This repository consist of program and the data file to create a offline dictonary usig python 3.6
View ProjectProgramming-Cisco-APIC-EM-SDN-controller
May 31, 2017 – June 28, 2017
This repository consist of programs to view and modify the functionality of Cisco APIC-EM SDN controller using REST APIs of the controller and Python.
View ProjectPython-3.6-Cisco-Router-config
May 6, 2017 – May 12, 2017
This repository contains Python3.6 programs which enables to configure routers and switches. These codes can be modified to enable multiple routers to be configured simultaneously.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Python programming and network automation, with a recent pivot towards LLM evaluation. While the current role is Data Scientist, the project history leans heavily into network engineering. The 'Netoai-Llm-Eval' project aligns with the Data Scientist role, but the overall project diversity is limited to Python-based solutions, primarily in networking. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential mismatch or lack of detailed experience information. Cultural fit is difficult to assess without more diverse project types or team-oriented experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.