Yash Khatri Email & Phone Number
Who is Yash Khatri? Overview
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Yash Khatri is listed as Sr. Agentic AI Engineer at EY, a with 371494 employees, based in Pune, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Yash Khatri.
Yash Khatri previously worked as Generative AI Engineer at Accenture and GenAI Engineer: TCS Digital at Tata Consultancy Services. Yash Khatri holds Bachelor Of Technology - Btech, 8.6 from Shri Ram Institute Of Technology.
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About Yash Khatri
I am a versatile GenAI/NLP developer with extensive experience in developing and implementing advanced NLP algorithms and models for text analysis, translation, and generation. Leveraging state-of-the-art frameworks like TensorFlow, PyTorch, Transformers, and LangChain, I have worked with leading generative AI frameworks and large language models (LLMs) such as GPT, Falcon, Bloom, and Mistral to create innovative and scalable solutions for text synthesis and complex problem-solving.In addition to my NLP expertise, I have a robust background in machine learning, deep learning, specializing in clustering, classification, regression, dimensionality reduction, decision trees, random forests, feature engineering, data preprocessing, analysis, and visualization. My technical toolkit includes proficiency in Python, SQL, Azure, Docker, Kubernetes, Jenkins, and Git, supported by multiple certifications in multi-task model creation with Keras, TensorFlow development, and containerization technologies.
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Yash Khatri work experience
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Generative Ai Engineer
• Technical Design: Expertly designed and implemented High-Level Designs and Low-Level Designs for various modules, ensuring robust and scalable architectures.• Chat History Management: Developed a user chat history management system using Azure Cosmos DB, optimizing data retrieval and enhancing user access. • Voice-to-Text Transcription, Summary Verification: Developed a solution that generates transcripts from voice recordings of conversations, with a LangGraph Agentic flow to summarize key discussion points and verify the summary against specific parameters. An automated LLM powered internet search then finds potential solutions, and the final output is a comprehensive PDF containing the conversation summary, main problem, and researched solutions.• RAG Pipeline Development: Implemented a Retrieval-Augmented Generation (RAG) pipeline using LangChain powered by GPT-4, enabling precise extraction of relevant information from large custom documents with thousands of pages.• Dynamic Report Generation: Built a dynamic reporting pipeline that generates customized reports based on user-bot conversations and user custom documents. The solution had Generative AI support to extract relevant information and generate a PDF report focused on key parameters.• User Management System: Designed and implemented a comprehensive user management module supporting login, registration, and role management, ensuring secure and efficient user access control.• Developed and delivered the tool with robust backend deployed on Azure cloud.
Genai Engineer: Tcs Digital
• Machine Translation System with Falcon, Bloom, and GPT-3.5: Developed a robust machine translation system utilizing Falcon, Bloom, and GPT-3.5 to achieve high accuracy and context-awareness across multiple languages. The efforts involved fine-tuning of open source LLMs for language specific translation tasks. This solution enabled seamless communication and information exchange by preserving the nuances of language, even in complex or technical texts.• Custom Q&A System Using RAG with LangChain and Haystack: Built a Retrieval-Augmented Generation (RAG) system leveraging LangChain, Chroma, and Haystack. This solution enables dynamic interactions with a custom Q&A database, allowing users to ask specific questions and receive accurate, context-driven responses, making it ideal for customer support or knowledge management.• Enhanced Data Retrieval with Mistral and GPT-3.5: Integrated models like Mistral and GPT-3.5 into a data retrieval pipeline, optimizing response accuracy and relevance. By using these models, I developed a system that can handle complex queries and retrieve information from large datasets efficiently, aiding in research, data analysis, and decision-making processes.
Nlp Engineer
• Developing and implementing advanced NLP algorithms and models for text classification, Neural Machine Translation, Aspect based Semantic Analysis and NER.• Experienced working with Generative AI Frameworks like Langchain• Experienced working with LLM Models like GPT, Falcon, Bloom, Mistral, etc.• Preprocessing and refining vast textual datasets to unveil valuable insights and patterns.• Collaborating with cross-functional teams to translate business requirements into NLP-driven solutions.• Fine-tuning and optimizing NLP models using state-of-the-art frameworks like TensorFlow, PyTorch, or Transformers.• Conducting in-depth exploratory data analysis to unravel the hidden potential within textual data.• Evaluating, benchmarking, and deploying cutting-edge NLP techniques for superior accuracy and efficiency.• Staying at the forefront of NLP research to integrate groundbreaking advancements into practical applications.• Troubleshooting and fine-tuning NLP systems to enhance performance and user experience.• Documenting research findings, methodologies, and codebase to foster knowledge sharing and maintain robust documentation standards..
Colleagues at EY
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Manjusha Nambiar
Colleague at EyBengaluru, Karnataka, India
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Shagun Gupta
Colleague at EyGurugram, Haryana, India
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Aviral Jain
Colleague at EyPune, Maharashtra, India
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Dhrub Kumar
Colleague at EyJaipur, Rajasthan, India
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Julia Lebiedź
Colleague at EyWarsaw, Mazowieckie, Poland
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Vinicius Anholeto
Colleague at EySão Paulo, Brazil
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Rohan Khari
Colleague at EyDelhi, India
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Anchal Bansal
Colleague at EyChicago, Illinois, United States
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Neetha S
Colleague at EyBengaluru, Karnataka, India
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Diego Pastrana
Colleague at EyChicago, Illinois, United States
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Yash Khatri education
Bachelor Of Technology - Btech, 8.6
Xii - Cbse, Physics, Chemistry And Maths
Frequently asked questions about Yash Khatri
Quick answers generated from the profile data available on this page.
What company does Yash Khatri work for?
Yash Khatri works for EY.
What is Yash Khatri's role at EY?
Yash Khatri is listed as Sr. Agentic AI Engineer at EY.
Where is Yash Khatri based?
Yash Khatri is based in Pune, Maharashtra, India while working with EY.
What companies has Yash Khatri worked for?
Yash Khatri has worked for Ey, Accenture, and Tata Consultancy Services.
Who are Yash Khatri's colleagues at EY?
Yash Khatri's colleagues at EY include Manjusha Nambiar, Shagun Gupta, Aviral Jain, Dhrub Kumar, and Julia Lebiedź.
How can I contact Yash Khatri?
You can use AeroLeads to view verified contact signals for Yash Khatri at EY, including work email, phone, and LinkedIn data when available.
What schools did Yash Khatri attend?
Yash Khatri holds Bachelor Of Technology - Btech, 8.6 from Shri Ram Institute Of Technology.
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