Vishal Sahare
Senior Ai Ml Architect @NielsenIQ
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WORK HISTORY
Senior Ai Ml Architect @NielsenIQ
Pune, IN
EDUCATION
Rajiv Gandhi Prodyogiki Vishwavidyalaya
BE [HONS], Computer Science Engineering
SKILLS
ABOUT VISHAL SAHARE
Achievement-driven professional with over 15+ years of extensive experience in IT, speciallized in Generative AI, Data Science, Machine Learning, AI, MLOps, ERP, and Big Data analytics. I possess a strong background in developing cutting-edge generative AI technologies, including Multi-Agentic system, MCP, LanGraph, LangChain, LangSmith, RAG (Retrieval-Augmented Generation), and advanced parsers. Highly organized and methodological, I have a proven track record in delivering projects on time and excelling in high-pressure environmentsAs an experienced Data Science professional, I have developed AI/ML-driven solutions across multiple industries including Telecom, Manufacturing, Utilities, Banking, and Finance. I am proficient in solution building for NLP, Predictive Maintenance, and demand forecasting-based business solutions. I also have substantial exposure to MLOps implementations for operationalizing models on cloud-based architectures, primarily AzureSkillsGenerative AI (LangChain, RAG, Parsers)Python, Scikit-Learn, Keras, TensorFlow, Deep LearningLSTM, NLP, BERT, MLOps, MLFlowAzure Databricks, Transfer Learning (TL)Azure Cognitive Services (Azure Custom Vision, Azure Form Recognizer, Azure Language Translation)Predictive Maintenance, Data DriftAzure Cloud, Java, Linux, OracleI have managed the “TCS Microsoft Business Unit- Data Science and ML Solution” portfolio and have functioned as a Solution Architect (Data Science and ML Solution) for a German-based client. My experience includes creating mature Data Science pipelines that cover all stages from Data Standardization and Feature Extraction to Model Validation and Optimization through Azure MLOps and MLFlow.Notable project implementations include a Predictive Maintenance solution for a UK-based customer and an AI solution for “AI-enabled smart factories and worker safety” for a French-based client. I also implemented an “MLOps-Solution” for an Australia-based client, featuring an automated framework for CI/CD and CT, Data Drift detection, and Centralized Monitoring.I also assist the presales team in responding to RFQs, which includes addressing questionnaires related to machine learning and preparing cost models for ML business problems. Currently, I am leading a team of 12 Data Scientists, overseeing the development and delivery of multiple AI/ML projects. This role requires a strong combination of technical expertise and team leadership to drive project success and deliver value to clients
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