Vaibhav

Data Scientist

https://www.opentalent.in/vaibhav-18

Hey, I am a Software Developer at Salesforce.

Airbnb

Key Strengths

Extensive personal project experience in Machine Learning and Data Science, particularly in NLP and deep learning (RAG, GPT2, Transformers, LLMs).
Demonstrated practical application of advanced ML concepts (Prophet for anomaly detection, DPO for optimization, Q-learning).
Strong proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Experience with PyTorch for deep learning model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards independent, research-oriented work in AI/ML. The current role at Airbnb as a Data Scientist aligns well with the target role. However, the experience level is listed as 0, which contradicts the current employment, and there are no details on team collaboration or project diversity beyond personal initiatives. This suggests a potential gap in understanding team dynamics or large-scale enterprise project contributions.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

coherent-misalignment

May 28, 2026 – Present

Can honesty-spec midtraining prevent inverted-persona collapses in language models?

View Project

HackerNewsVirality

March 12, 2026 – Present

A full preference-learning pipeline built on 3.9M Hacker News posts: content extraction, domain-trained embeddings, a from-scratch small transformer, a virality reward model, and DPO-based title optimization using 282K natural A/B tests from reposted URLs. Built end-to-end in PyTorch.

View Project

qlearning

January 19, 2026 – Present

qlearning — GitHub repository

View Project

practice

December 12, 2025 – December 16, 2025

practice — GitHub repository

View Project

rag-boilerplate

November 12, 2025 – December 3, 2025

A RAG playbook which helps anyone getting started in the space of search.

View Project

vaifai

May 4, 2025 – November 13, 2025

vaifai — GitHub repository

View Project

llm-spam-classifier-model

May 4, 2025 – May 4, 2025

llm-spam-classifier-model — GitHub repository

View Project

GPT2_from_scratch

April 2, 2025 – April 30, 2025

GPT2_from_scratch — GitHub repository

View Project

makemore

March 29, 2025 – April 4, 2025

makemore — GitHub repository

View Project

propano

February 8, 2025 – March 2, 2025

Prophet-based Network Anomaly Detection | Detect network traffic anomalies using Facebook Prophet with advanced filtering techniques like persistence and proximity analysis to reduce false positives.

View Project

Key Strengths

Extensive personal project experience in Machine Learning and Data Science, particularly in NLP and deep learning (RAG, GPT2, Transformers, LLMs).
Demonstrated practical application of advanced ML concepts (Prophet for anomaly detection, DPO for optimization, Q-learning).
Strong proficiency in Python and Jupyter Notebook, essential for Data Scientist roles.
Experience with PyTorch for deep learning model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Vaibhav

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit