Summary
Overview
Work History
Education
Skills
Research And Development
Timeline
Generic
PRATIMA RATHORE

PRATIMA RATHORE

Hyderabad

Summary

AI/ML specialist with 8 years of experience in developing and deploying innovative AI solutions. Expertise in LLMs, composable AI frameworks, and agent orchestration. Proven track record of building scalable AI-driven platforms and implementing transformer-based models. Collaborates with cross-functional teams to consistently deliver value-driven solutions across diverse industries.

Overview

8
8
years of professional experience
2021
2021
years of post-secondary education

Work History

Senior Data Scientist

Pegasystems
09.2023 - Current
  • Build and deployed state-of-the-art AI orchestration platform like Lang Chain using Claude sonnet and OpenAI for automated workflow management
  • Implemented complex agent orchestration workflows using CrewAI, enabling automated multi-step task completion
  • Implemented a RAG pipelines with some DB function calls to enhance LLM performance and reduce hallucinations in production environments
  • Built scalable RAG pipelines and knowledge graph systems (LangGraph), reducing hallucination rates by 40% in production environments
  • Developed framework for chain-of-agents system integrating specialized LLMs for optimized information retrieval and task automation
  • Led fine-tuning of various LLMs (LLAMA, Falcon) and developed custom evaluation frameworks to optimize model performance
  • Collaborated with cross-functional teams (engineering, product, ops) to translate complex requirements into production-ready AI solutions
  • Collaborated with stakeholders to define GenAI roadmaps and identify high-impact use cases for automation and process improvement
  • Mentored technical teams in best practices for GenAI implementation and deployment

Machine Learning Specialist

Accenture
05.2021 - 09.2023
  • Served as lead technical consultant for multiple Fortune 500 clients, delivering end-to-end GenAI solutions

Senior Product Engineer

Lymbyc LTI
12.2020 - 04.2021
  • Developed virtual analyst system Leni that simplifies complex decision-making for clients across various sectors, mostly in sales, marketing, and commercial functions
  • Implemented ML models for intelligent query understanding and accurate information retrieval

Data Analyst

Verizon
04.2019 - 12.2020
  • Build statistical and predictive models, including linear and logistic regression, Multivariate regression, decision trees and deep learning using frameworks like TensorFlow, Keras, pyTorch, scikit-learn
  • Worked on NLP use cases like Sentiment Analysis, Grammar classifier, Information extraction using NER and Topic modelling using transformer-based architectures like BERT
  • Proficiency in data exploration, feature engineering, and model selection to improve model performance and interpretability
  • Experience with data analysis tools and programming languages such as Python and SQL

Programming Analyst

Cognizant
10.2016 - 03.2019
  • Built robust data pipelines and ETL processes to support large-scale information retrieval systems
  • Gained extensive experience with Big Data platforms and distributed computing tools (Hadoop, Spark, Map/Reduce)
  • Designed and implemented efficient data modeling and warehousing solutions for scalable data access

Education

Master of Science - Artificial Intelligence

Liverpool John Moore's University

Post Graduate Diploma - Data Science

International Institute of Information Technology

Bachelor of Science - Automobile Engineering

Kalinga Institute of Industrial Technology

Skills

Data Science

Research And Development

  • Developed novel approaches for combining knowledge graphs with LLMs to improve information retrieval accuracy
  • Created innovative technique for infusing database schema context and multiple database functions to reduce LLM hallucinations in natural language to domain-specific query conversion.
  • Implemented and optimized RAG systems for enterprise-scale applications
  • Experience in publishing technical documentation and conducting research in AI/ML domains
  • Designed and developed production-grade Generative AI applications using composable frameworks for different clients (LangChain, LlamaIndex)
  • Led end-to-end development of transformer-based models, including architecture design, training, and evaluation
  • Built and deployed event-driven AI services on cloud platforms (GCP, AWS), ensuring scalability and optimal performance
  • Spearheaded knowledge sharing initiatives across teams, creating documentation and conducting training sessions on AI best practices
  • Collaborated with stakeholders to gather requirements and deliver value-driven AI solutions for enterprise clients
  • Built Intelligent Organization Accelerators using NLP algorithms like multiclass text classification, NER (Named entity recognition), phrase extraction, extractive and abstractive summarization, NLP based Q&A, paraphrasing and topic classification etc using SOTA models like BERT, BART, T5, GPT, BLOOM etc
  • Worked on end-to-end data science pipeline with many clients like Intel, AmerisourceBergen, Anglo American, ServiceNow, Intel, AIG and Anglo shanti
  • Research, design and develop end-to-end advanced analytical solution using predictive analytics, NLP, Machine Learning and Artificial intelligence

Timeline

Senior Data Scientist

Pegasystems
09.2023 - Current

Machine Learning Specialist

Accenture
05.2021 - 09.2023

Senior Product Engineer

Lymbyc LTI
12.2020 - 04.2021

Data Analyst

Verizon
04.2019 - 12.2020

Programming Analyst

Cognizant
10.2016 - 03.2019

Post Graduate Diploma - Data Science

International Institute of Information Technology

Bachelor of Science - Automobile Engineering

Kalinga Institute of Industrial Technology

Master of Science - Artificial Intelligence

Liverpool John Moore's University
PRATIMA RATHORE