Pawan Rajpoot

CTO

India10 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Winner of multiple prestigious NLP competitions.
Co-creator of state-of-the-art LLMs.
Published multiple papers in reputed journals.

Stackforce AI infers this person is a Fintech and AI expert with a strong focus on NLP and knowledge graphs.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Large Language Models (llm)Conversational AiResearchKnowledge GraphsMultimodal ReasoningDeep LearningMachine LearningProduct Matching

Other Skills

Multimodal RAGOpen-source frameworksData SimulationImage ModelsData QualityText/Image Attribute ExtractionIntent ClassifierEntity ExtractionNLP SolutionsSemantic Role LabelingTranslation FrameworkPDF Document ProcessinglaminiRLHFGenerative AI

About

With a master's degree in computer science from the International Institute of Information Technology Bangalore, I have a strong background in natural language processing (NLP), semantic parsing, and knowledge graphs. I have published multiple papers in reputed journals and conferences. Winner of multiple competitions like NeurIPS LL Challenge, Semeval (3 times) and others. Co-creater of SOTA LLMs.

Experience

10 yrs

Total Experience

1 yr 5 mos

Average Tenure

1 yr 6 mos

Current Experience

Tifin

2 roles

Head of Data Science

Promoted

Jun 2025 – Present · 10 mos

CAI: Agentic conversational system for Wealth/FinTech with full open source LLM/SLM routing.
Research: Multilingual, multimodal CAI.
Research: 7 Papers and 5 International competition wins.
Multimodal RAG with sub 200ms inference.

Natural Language Processing (NLP)Large Language Models (LLM)Conversational AIResearchMultimodal RAG

Lead Data Scientist

Oct 2024 – Jun 2025 · 8 mos

Conversational AI.
LLM as a Judge for CAI
Move to opensource SLM/LLM with orchestrator based Agentic framework.

Conversational AILarge Language Models (LLM)Open-source frameworks

Datax

Senior AI Scientist

Oct 2023 – Sep 2024 · 11 mos · Bangkok, Bangkok City, Thailand

Solving Fintech problems at scale.
Knowledge Graph + LLM based IR Engine for Fintech Product Matching.
Data Simulation using LLMs at scale for Fintech.
InsuranceGPT: Entity Graph based RAG QA with Llama and OpenAI.

Knowledge GraphsLarge Language Models (LLM)Data Simulation

Huawei singapore

Staff Engineer | Research

Jul 2022 – Jul 2023 · 1 yr · Singapore

State of the art Multi Modal Knowledge Graph Engines and their applications.
Multimodal Reasoning and Visual Question Answering Engine built with LLMs and sota Image models.
Conditional Image retrieval on fashion data.
Part of Multi Modal Search Team in Poisson Lab.

Knowledge GraphsMultimodal ReasoningImage Models

Rakuten

2 roles

Lead Data Scientist

Jan 2021 – Jun 2022 · 1 yr 5 mos

Proficiently lead a team of 2 Data Scientists, 2 Engineers, and 5 Interns
Scaling Deep Learning Model workflow using Kubeflow, Google AI Hub, Kafka/RabbitMQ Streams, and Tensor Serving
Handling data mining & collection procedures and ensuring data quality & integrity
Building Product/Attribute Knowledge Graph projects which form the back bone for Catalogue Platform Team
Understanding business objectives and developing Machine Learning models that help to achieve customer/client needs
Exploring and visualizing data for better understanding and identifying differences in data distribution that could impact model performance when deploying it in real-world scenarios

Deep LearningMachine LearningData Quality

Senior Scientist

Sep 2019 – Dec 2020 · 1 yr 3 mos

• Product Matching: Lead the project. This project serves as a platform for product matching over all of Rakuten and it’s partners catalogue data, key pipelines included are text/image attribute extraction, knowledge enrichment and matching.

Product MatchingText/Image Attribute ExtractionMachine Learning

Tact.ai

Software Engineer AI

Jun 2018 – Aug 2019 · 1 yr 2 mos · Bengaluru, Karnataka, India

Devised intent classifier/entity extraction models with Elmo embeddings
Developed model deployment workflow on JFrog artifact repository for various environments
Built AI models from scratch, data ingestion, and data transformation infrastructure
Automated the infrastructure of the data science team
Performed statistical analysis & tuned the results and recommended better-informed decisions
Set up and managed AI development and product infrastructure

Intent ClassifierEntity ExtractionNatural Language Processing (NLP)Machine Learning

Amelia

Research and Development Engineer

Apr 2016 – May 2018 · 2 yrs 1 mo · Bangalore

Devised state of art solutions for NLP problems like VSD, WSD, SRL, Thematic Labeling.
Developed project "Logicnet" from scratch, this forms the basic inference engine for Amelia (Cognitive agent)
Developed Question Classifier,based on Semantic role Labeling and SVM with state of the art F1 score of 96.
GoogleNGram: Analysis of historical book data using Lucene based dictionary. Added NER, POS tagging and did a comparison with Wikipedia Dependency Dump and SVO triplet data by NELL.

NLP SolutionsSemantic Role LabelingNatural Language Processing (NLP)Machine Learning

Factset

NLP Engineer

Jul 2015 – Mar 2016 · 8 mos · Greater Hyderabad Area

Developed Ukrainian to English and Portuguese to English translator under Moses framework with 80% average accuracy
Worked on improving the accuracy of project table handler that extracts tables out of the pdf documents and structures the information in a logical manner
Improved the pipeline for translation framework

Translation FrameworkPDF Document ProcessingNatural Language Processing (NLP)Machine Learning