I am a seasoned Senior Artificial Intelligence Engineer with over 8 years of experience specializing in Large Language Models (LLM) and Natural Language Processing (NLP). I excel at building end-to-end machine learning and deep learning pipelines, deploying cutting-edge AI solutions that improve operational efficiency and automate complex data tasks. My expertise includes fine-tuning large-scale models, architecting retrieval-augmented generation pipelines, and developing innovative NLP models to solve business challenges. I am passionate about leveraging state-of-the-art AI technologies such as Azure OpenAI, Meta LLaMA, and DeepSeek, alongside tools like Langchain and BERT Transformers, to drive transformational change in diverse sectors. My leadership skills empower cross-functional teams to deliver impactful AI solutions that reduce costs, accelerate decision-making, and enhance customer satisfaction. Always ready to embrace new challenges and relocate, I am immediately available to join and contribute value to innovative projects.

Vishvajit Sudhakar Phalke

I am a seasoned Senior Artificial Intelligence Engineer with over 8 years of experience specializing in Large Language Models (LLM) and Natural Language Processing (NLP). I excel at building end-to-end machine learning and deep learning pipelines, deploying cutting-edge AI solutions that improve operational efficiency and automate complex data tasks. My expertise includes fine-tuning large-scale models, architecting retrieval-augmented generation pipelines, and developing innovative NLP models to solve business challenges. I am passionate about leveraging state-of-the-art AI technologies such as Azure OpenAI, Meta LLaMA, and DeepSeek, alongside tools like Langchain and BERT Transformers, to drive transformational change in diverse sectors. My leadership skills empower cross-functional teams to deliver impactful AI solutions that reduce costs, accelerate decision-making, and enhance customer satisfaction. Always ready to embrace new challenges and relocate, I am immediately available to join and contribute value to innovative projects.

Available to hire

I am a seasoned Senior Artificial Intelligence Engineer with over 8 years of experience specializing in Large Language Models (LLM) and Natural Language Processing (NLP). I excel at building end-to-end machine learning and deep learning pipelines, deploying cutting-edge AI solutions that improve operational efficiency and automate complex data tasks. My expertise includes fine-tuning large-scale models, architecting retrieval-augmented generation pipelines, and developing innovative NLP models to solve business challenges.

I am passionate about leveraging state-of-the-art AI technologies such as Azure OpenAI, Meta LLaMA, and DeepSeek, alongside tools like Langchain and BERT Transformers, to drive transformational change in diverse sectors. My leadership skills empower cross-functional teams to deliver impactful AI solutions that reduce costs, accelerate decision-making, and enhance customer satisfaction. Always ready to embrace new challenges and relocate, I am immediately available to join and contribute value to innovative projects.

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Experience Level

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Intermediate
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Language

English
Fluent

Work Experience

Senior Data Scientist at Johnson & Johnson
September 1, 2021 - Present
Engineered a Multi-Agentic LLM-driven RAG pipeline using Azure OpenAI to handle domain-specific queries across clinical trials and research documents, reducing query resolution time by 40%. Developed a Text-to-SQL engine using Azure OpenAI prompt engineering increasing report generation speed by 35%. Fine-tuned DeepSeek LLM on legal documents and integrated it into a RAG pipeline to enhance legal query accuracy. Built a conversational chatbot to analyze over a million reviews, enabling 60% faster access to insights. Developed Named Entity Recognition and Sentiment Prediction models with high accuracy, improving sustainability and reducing customer churn. Successfully containerized and deployed multiple AI applications using Jenkins, Docker, and Kubernetes.
Data Science Analyst at Verizon Data Services Pvt Ltd.
August 31, 2021 - August 6, 2025
Designed a content-based product recommendation engine using BERT and customized algorithms to improve customer experience. Enhanced ML pipelines with PySpark NLP, reducing response time by 35%, optimizing machine usage, and lowering AI/ML operation costs by 30%. Implemented unsupervised text clustering for multi-label classification to identify network and payment issues. Developed extractive text summarization tools and sentiment analysis models with 97% accuracy for customer feedback evaluation. Achieved a 70% cost reduction by creating an innovative unsupervised labeling method, eliminating outsourcing expenses.
Senior Process Executive (AI/ML) at Infosys BPM Limited
December 31, 2019 - August 6, 2025
Improved profitability by $1.5M through fraud transaction prediction using Random Forest and XGBoost algorithms. Developed OCR pipelines using Faster R-CNN and Tesseract to extract billing details from invoices. Researched and developed handwritten text recognition models with R-CNN architectures, transforming manual notes to digital text. Worked extensively with Python, SQL, Spark, AWS, Docker, and QlikView to support various AI/ML initiatives.
Data Science Intern at Trimurti Engineer
May 1, 2018 - August 6, 2025
Conducted risk modeling for fraud transaction prediction and fine-tuned customer prediction models for banking telemarketing campaigns.
Senior Data Scientist at Johnson & Johnson
September 1, 2021 - Present
Led the engineering of Multi-Agentic LLM-driven RAG pipelines using Azure OpenAI to efficiently process domain-specific queries on clinical trials and research documents, reducing query resolution time by 40%. Developed Text-to-SQL engines and fine-tuned DeepSeek and Meta-LLaMA LLMs for legal document analysis and natural language database querying, improving automation and achieving 93% accuracy. Created Named Entity Recognition models with 94% accuracy for sustainability challenges and built sentiment prediction models to reduce customer churn by 15%. Successfully containerized and deployed multiple AI applications using Jenkins, Docker, and Kubernetes across development and testing environments.
Data Science Analyst at Verizon Data Services Pvt Ltd.
August 31, 2021 - August 6, 2025
Developed a content-based product recommendation engine using BERT and custom algorithms, enhancing customer experience. Improved ML pipelines with PySpark NLP to reduce response time by 35%, optimize machine usage by 30%, and lower AI/ML operation costs. Implemented unsupervised multi-label text classification for network issue extraction and extractive text summarization to highlight call intent. Built sentiment analysis models achieving 97% accuracy to improve evaluation of customer feedback. Innovated unsupervised labeling methods via advanced NLP leading to a 70% cost reduction by eliminating outsourced labeling.
Senior Process Executive (AI/ML) at Infosys BPM Limited
December 31, 2019 - August 6, 2025
Increased profit margins by $1.5M via fraud detection models utilizing Random Forest and XGBoost. Developed OCR pipelines utilizing Faster R-CNN and Tesseract for billing extraction and researched handwritten text recognition using R-CNN architectures. Led research and innovation on automated document digitization and fraud analytics to enhance operational performance.
Data Science Intern at Trimurti Engineer
May 1, 2018 - August 6, 2025
Performed risk modeling for fraud transaction prediction and fine-tuned potential customer prediction models for banking telemarketing campaigns.

Education

Bachelor of Engineering at Pune University (PESMCOE), Pune
June 1, 2012 - June 1, 2016
Bachelor of Engineering at Pune University (PESMCOE), Pune
June 1, 2012 - June 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Telecommunications, Professional Services