Vivek Rajagopalan

Data Scientist

https://talent.gravityer.com/vivek-rajagopalan

Working on #software #testing #python #IOT #dataScience #pandas #matlab #R-Programming #Linux #Windows10 #electronics #ProjectManager #trading #NSE #NIFTY

Own

Key Strengths

Demonstrated interest in AI/ML and Large Language Models (LLMs) through multiple personal projects.
Experience with Python, a core language for Data Science.
Projects like 'Multi-LLM-FinTech-Research-Agent' and 'FinGPT-NSE' show practical application in financial domain, relevant for data science roles involving real-world data.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and heavily focused on AI/LLM development, indicating a strong passion for the field. However, the lack of diverse project types or team-based experiences makes it difficult to fully assess cultural fit beyond individual drive. The 'Own' company experience as a Data Scientist starting recently provides limited insight into collaborative work environments.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

expensesmanager

May 23, 2026 – Present

expensesmanager — GitHub repository

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ai-coe-testing

May 1, 2026 – Present

AI Center of Excellence — Quality Engineering

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Multi-LLM-FinTech-Research-Agent-LangChain-LangGraph-LangSmith-

April 24, 2026 – Present

Multi-LLM FinTech Research Agent built with LangChain, LangGraph, and LangSmith, orchestrating Gemini, GPT-4, and Claude for real-time stock analysis, options insights, and AI-generated investment reports with full observability.

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vivek-ai-portfolio

March 26, 2026 – Present

vivek-ai-portfolio

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llm-engineering-patterns

March 26, 2026 – Present

llm-engineering-patterns

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ai-engineering-playbook

March 26, 2026 – Present

This playbook defines how AI is systematically embedded into engineering, QA, and delivery workflows.

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ai-delivery-automation

March 26, 2026 – Present

AI Delivery Automation

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ai-test-generation-framework

March 26, 2026 – Present

AI-Driven Test Generation Framework

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LLM-Learning

March 15, 2026 – Present

LLM learning from Hugging face

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FinGPT-NSE

March 13, 2026 – Present

FinGPT-NSE: AI-Powered Stock Market Analyst for Indian Markets

View Project

Key Strengths

Demonstrated interest in AI/ML and Large Language Models (LLMs) through multiple personal projects.
Experience with Python, a core language for Data Science.
Projects like 'Multi-LLM-FinTech-Research-Agent' and 'FinGPT-NSE' show practical application in financial domain, relevant for data science roles involving real-world data.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

Vivek Rajagopalan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit