Komal Khetlani

Data Scientist

https://talent.gravityer.com/komal-khetlani

Data Scientist

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Large Language Models (LLMs) and Natural Language Processing (NLP) through multiple personal projects.
Experience with Python, PyTorch, Jupyter Notebook, LangChain, and LangGraph.
Practical application of RAG (Retrieval Augmented Generation) concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong personal drive and interest in cutting-edge AI/ML technologies, particularly LLMs, which aligns well with an innovative and research-oriented culture. The diversity of personal projects indicates a proactive learning approach. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

KVCaching

March 23, 2026 – Present

KVCaching — GitHub repository

View Project

Vectorless-RAG

March 21, 2026 – Present

A quick demonstration of implementation of Vectorless RAG

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PyTorch-101

March 15, 2026 – Present

Getting Started with PyTorch

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LangChain

October 25, 2025 – October 27, 2025

LangChain — GitHub repository

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langsmith

October 22, 2025 – October 22, 2025

Some handson exercises on langsmith

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chatbot_langgraph

October 18, 2025 – October 18, 2025

A simple conversational Chatbot built on top of streamlit

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LangGraph

October 13, 2025 – October 17, 2025

LangGraph — GitHub repository

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nlp-llm-playground

October 6, 2025 – October 7, 2025

nlp-llm-playground — GitHub repository

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research_genie

March 4, 2025 – March 11, 2025

research_genie — GitHub repository

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KomalKhetlani

January 25, 2022 – January 25, 2022

KomalKhetlani — GitHub repository

View Project

Key Strengths

Demonstrated interest in Large Language Models (LLMs) and Natural Language Processing (NLP) through multiple personal projects.
Experience with Python, PyTorch, Jupyter Notebook, LangChain, and LangGraph.
Practical application of RAG (Retrieval Augmented Generation) concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Komal Khetlani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit