Rajeev Gupta

About Rajeev Gupta

Senior Data & AI Leader with 16+ years of experience delivering enterprise-scale data platforms, AI/ML systems, and Generative AI (LLM) solutions across healthcare, consulting, and consumer electronics domains. Proven ability to lead high-performing teams, define cloud-native data & AI architectures, and translate strategy into high-visibility business outcomes.Specialized in LLM architecture (RAG, Prompt Engineering, GenAI platforms), multi-cloud data ecosystems (AWS, Azure, GCP), and AI productization, with strong executive communication and stakeholder influence.Machine Learning, Recommendation System, Generative AI (LLM), Predictive Analytics/Modeling, NLP, Sentiment Analysis, Pattern Mining, Audience Segmentation, LSTM, Contextual Bandit Algorithms, Big Data Analytics, Prompt Engineering etc.AWS(EMR, RDS, S3, Data lake, Delata Lake, Athena, Lambda, SageMaker, Redshift, DynamoDB, API Gateway, IAM etc.), GCP(BigQuery, BigTable, Cloud Storage, Dataproc, Cloud Function/Run etc.)Spark(PySpark), Hadoop(Map-Reduce), Elasticsearch, Kafka, NoSQL(HBase, MongoDB), RDBS(MySQL)Python, Java/J2EE-Having 6+yrs experience as a Data Science/Engineering Manager-Adept in big data pipeline(AWS, Azure & GCP), BackEnd and AI Services development-Adept in Machine Learning, Generative AI (LLM), Sentiment Analysis, NLP, NLG, Predictive Modeling to drive insights & recommendations-Deft in EDA, Clustering, Data Mining and Wrangling, Pattern mining and Text Analytics-Deft in big data technologies like Hadoop(MR), Spark(PySpark), ElasticSearch, Hive, HBase, Kafka, MongoDB etc-Went through Samsung Young Leadership Development Programs-Having good knowledge of data structures & algorithms and design patterns-Having Samsung Professional Software Competency Certification-Actively involved in interviewing and selection process-Requirements Gathering and Analysis of business & system requirements(Functional/Non-functional)-Professional attributes include Excellent Presentations, Root Cause Analysis (Data Analysis) and creativity in getting things done-Well versed with all the stages of SDLC i.e. Planning, Analysis, Design, Development, Testing and Deployment of projects for n-tier architecture applications-Having experience in handling team up to 20 members for the development of projects.

Experience

1. Ai Ml Computational Science Sr Manager

   Accenture

   Mar 2026 — Present · Gurugram, IN

Education

• Motilal Nehru National Institute Of Technology

  MCA, Computer Application

  2006 — 2009

Skills

• Core Java
• Unix Shell Scripting
• Data Structures
• Unix
• Java Enterprise Edition