Bhuvanjeet Singh Gandhi

Data Scientist

Bengaluru, Karnataka, India6 yrs 5 mos experience

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Key Highlights

Led development of a revenue-generating AI search system.
Achieved significant user engagement improvements.
Published multiple AI research papers and received innovation awards.

Stackforce AI infers this person is a Fintech professional specializing in AI-driven analytics and intelligent systems.

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Skills

Core Skills

Generative AiRetrieval-augmented Generation (rag)Intelligent AgentsMachine LearningDeep Learning

Other Skills

Adobe IllustratorAlgorithmsAndroid StudioBERT (Language Model)C++Data ModelingData ScienceData StructuresElasticsearchGitJavaJavaFXKnowledge Graph-Based Natural Language ProcessingLangChainLarge Language Models (LLM)

About

• Passionate about leveraging AI/ML and data-driven solutions to build intelligent systems that drive innovation and efficiency. A professional with 3 years of experience, my work spans Generative AI, knowledge graphs, agentic workflows, and advanced analytics, focusing on enhancing search, automation, and decision intelligence at scale. • I specialize in hybrid search architectures, retrieval-augmented generation (RAG), and AI-powered assistants, integrating structured and unstructured data to improve accessibility and usability. With hands-on experience in large-scale data products, anomaly detection, predictive modeling, and real-time analytics, I thrive on solving complex problems and optimizing complex AI workflows. • Deeply interested in the evolving landscape of Generative AI, RAG systems, and agentic AI, I enjoy exploring new frameworks, developing impactful AI solutions, and collaborating on innovative projects. Open to discussions on AI, analytics, and the future of intelligent automation!

Experience

6 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

3 yrs 11 mos

Current Experience

Visa

2 roles

Data Scientist

Promoted

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

Spearheaded development of GenAI-powered search for Visa Analytics Platform (VAP), Visa's largest data product outside of Fraud & Risk, generating $124M in revenue, leading a team of 6 engineers and ML scientists.
o Architected a hybrid search approach (keyword and vector) with hyperparameter tuning and prompt engineering utilizing GPT-4 Turbo for retrieval-augmented generation (RAG) and summary generation.
o Enhanced VAP's information navigation by embedding comprehensive VAP documentation, improving discoverability of assets, and boosting client self-service capabilities.
o Achieved a 9% increase in active users, 15% rise in user engagement, and 53% reduction in user clicks.
Received 11 technical innovation awards, a defensive publication and 5 Scopus-indexed AI research papers.
Currently architecting agentic AI assistant for VAP, orchestrating specialized agents for comprehensive analytics using Visa’s C&S and Auth datasets for reporting, prediction, and anomaly detection.
Developed 8+ ML and AI PoCs including GenAI visualizations, SQL generation via knowledge graph, and agentic RAG workflows using frameworks such as AutoGen, LangGraph, and CrewAI.

Generative AIRetrieval-Augmented Generation (RAG)Intelligent AgentsRedisOpenAI APILangChain+4

Associate Data Scientist

Jun 2022 – Jul 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Worked on Global Business Intelligence Chatbot application that responds to user queries on technical information in Visa, allowing users to query thousands of pages instead of 200 FAQs & receive an instant response, reducing response time from 72 hours to few seconds.
Architecture include BERT model for generating responses, Elasticsearch, React UI, the application has SSO/LDAP integration and is productionalized.
Designed & Implemented a Machine Learning algorithm to generate “Real-Time Alerts” as notifications when an anomaly is detected in transaction data, enabling Client Services, Marketing & Product teams to react quickly to change their strategies & minimizing manual-efforts required to generate monthly reports (from three hours to 30 minutes).

Machine LearningPython (Programming Language)Deep LearningRecurrent Neural Networks (RNN)BERT (Language Model)Generative AI+7

Samsung r&d institute india

Research And Development Intern

Nov 2021 – May 2022 · 6 mos · Bangalore Urban, Karnataka, India

Worked on ‘Synthetic Noise Generation for Deep Learning based Video Denoising’ as a part of Samsung PRISM (PReparing and Inspiring Student Minds) initiative.

Visa

Software Engineer Intern

May 2021 – Jul 2021 · 2 mos · Bangalore Urban, Karnataka, India

Worked on building an efficient chatbot solution based on BERT model and closed domain data corpus.
Researched on choosing the best algorithm for Recommendation Engine as per the requirements of the use case.

The sparks foundation

Data Science and Business Analytics Intern

Nov 2020 – Nov 2020 · 0 mo

Innovians technologies

Machine Learning Intern

Jun 2020 – Jul 2020 · 1 mo · Noida, Uttar Pradesh, India

Worked on a project - 'Lock/Unlock Computer System using Real-time Face Recognition' which involved the usage of Computer Vision, PyautoGUI and other related technologies.

Ieee professional communication society, vit vellore

2 roles

Technical and Design Chair

Feb 2020 – Jan 2021 · 11 mos · Vellore, Tamil Nadu, India

Guided students in developing their technical skills in various domains like Web Development and Machine Learning.
Organized competitive coding contest series - Code Terror in association with Coding Blocks and Hackerrank.

Core Committee Member

Dec 2018 – Jan 2020 · 1 yr 1 mo · Vellore, Tamil Nadu, India

C4 projects

ML Operations Team Member and Mentor

Dec 2019 – Jun 2021 · 1 yr 6 mos · Vellore, Tamil Nadu, India

Organized Hands-on sessions showing the implementation of various machine learning algorithms.
Mentored students and curated a course on Python in the Autumn Mentorship Program.