Jnanendra Sarkar

About Jnanendra Sarkar

As a strategic leader with deep expertise in AI-driven product innovation, digital transformation, and advanced technology ecosystems, I specialize in building and scaling AI-powered products that enhance business operations and ensure sustained growth by collaborating with C-suite executives and key decision-makers to drive enterprise-wide innovation, optimize operational efficiency and sustainable growth. My core focus lies in leveraging emerging AI technologies to enhance customer experience, optimize revenue outcomes, and create market-leading solutions that align with enterprise objectives and competitive landscapes.With extensive experience leading large global cross-functional teams, I have successfully incubated and commercialized 50+ strategic AI solutions for Fortune 100 enterprises, spanning industries such as Retail, Media & Entertainment, Healthcare, Telecom, and BFSI. My leadership in Generative AI, LLMs, Agentic AI, Transfer Learning, Deep Learning, and Machine Learning has enabled businesses to innovate at scale, solving complex challenges through cutting-edge AI applications. In past experience, I led large-scale AI initiatives, driving product innovation through deep technical and architectural leadership, optimizing workflows, and fostering cross-functional collaboration. Developed a proprietary AIOps product designed to enhance operational efficiency to solve industry-specific challenges while dealing with proactive issue detection and automating tasks, reducing costs. Played key role in building AI centres of excellence, shaping talent development, and mentoring product teams in advanced AI ecosystems, including NLP, Computer Vision, RAG, and MLOps.Beyond product strategy, my contributions to AI research and thought leadership include multiple international journal publications and patents in Machine Learning, membership in Machine Intelligence Research Labs, reinforcing my ability to translate cutting-edge advancements into impactful business solutions. My engagement with academia and industry forums ensures continuous leadership in shaping the future of AI-driven innovation.I am passionate about transforming industries through AI-first strategies, helping organizations navigate the digital frontier with data-driven, technology-centric approach. By aligning AI-driven solutions with business imperatives, I enable enterprises to accelerate growth, enhance market positioning, and redefine industry standards in an era of intelligent automation.Contact | j••••••••@gmail.com |+91••••••••52

Experience

1. Peer Reviewer

   Elsevier

   Jan 2016 — Present

   independent voluntary act)Peer reviewer of Research Article for the following international Journals- Advanced Engineering Informatics- AI Open- Artificial Intelligence- Artificial Intelligence in Geosciences- Artificial Intelligence in Medicine- Artificial Intelligence in Agriculture- Cognitive Systems Research- Data & Knowledge Engineering- Engineering Applications of Artificial Intelligence- Expert Systems with Applications- Heliyon- Information Sciences- Information Systems- Knowledge-Based Systems- Informatics in Medicine Unlocked- Machine Learning with Applications- Electronic Commerce Research and Applications

Education

• Jadavpur University

  Doctor of Philosophy - PhD, Artificial Intelligence / Machine Learning

• Jadavpur University

  Master of Engineering (M.E) in Computer Science & Engineering, Machine Learning

• University of Kalyani

  Bachelor of Technology - BTech, Computer Science and Technology

• Kalyani Government Engineering College

  Bachelor of Technology (B.Tech.) in Computer Science & Technology, Computer Science & Technology

Skills

• Master Data Management
• Machine Learning
• Data Warehousing
• Hadoop
• Software Project Management
• Hdfs
• Hive
• Mapreduce
• Data Migration
• Pig
• Unix Shell Scripting
• Java Enterprise Edition
• Etl
• Enterprise Architecture
• Unix
• Data Modeling
• Pl/Sql
• Business Intelligence
• Pre-Sales
• Sdlc
• Solution Architecture
• Oracle
• Requirements Analysis
• Pattern Recognition
• Hbase