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
Machine Learning
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Deep Learning
Generative AI
Retrieval Augmented Generation (RAG)
Fine-tuning
Agent Orchestration
Transfer Learning
Python Programming
Predictive Modelling
Named Entity Recognition (NER)
Sentiment Analysis
Classification
Clustering
Optimization techniques
Predictive modeling
Big data analytics
Natural language processing
Neural networks
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