Prateek Nagwanshi

AI Engineering Manager | IBM watsonx APAC CoE | IISc Bangalore | Agentic AI, GenAI, LLMs, RAG & AI Platforms | AI Engineering Leader

Bengaluru, Karnataka, India

About

Experienced Data Scientist with a deep knowledge in Natural Language Processing and Machine Learning.. Currently working as a Generative AI Engg Manager at IBM Watsonx Centre of Excellence team.

Experience

  • AI Engineering Manager at IBM
    Sep 2023 - Present · 2 yrs 11 mos

  • Manager at American Express
    Nov 2021 - Aug 2023 · 1 yr 10 mos

    I am responsible for guiding a Data Science Team within the AI Labs, where our main focus is to foster innovation and uncover valuable insights by leveraging Natural Language Processing and Machine Learning techniques.

  • Fidelity Investments (3 yrs 11 mos)
    • Data Scientist
      Dec 2019 - Nov 2021 · 2 yrs

      Worked on News Grouping model which helped to give a grouped news article to the customers. Developed a mapping module which maps a search query to list of questions.

    • Senior Analyst
      Jan 2018 - Dec 2019 · 2 yrs

      I joined Fidelity Investments as Senior Analyst in AICOE team. Worked on various problems such Product Recognition model, Incoming Call Prediction,

  • Data Scientist(Senior Software Engineer) at Wipro
    Jun 2016 - Jan 2018 · 1 yr 8 mos

    I joined Wipro CTO labs as Senior Software Engineer. During my tenure I was Involved in pocs related to Chatbot. Created a FAQ chat bot for Immigration department using deep learning models. Worked on relationship extraction from annual filing of companies. Worked on building knowledge graph from the curated documents related to a product and try to answer queries from the documents.

  • Data Science Engineer at Kirusa
    Aug 2014 - May 2016 · 1 yr 10 mos

    I joined Kirusa Softwares as Data Science Engineer in analytics team. I have involved in various pocs in analytics space , one such work was Sentiment Analysis of reviews of our product. After that I was involved in creating Product Recommendation Engine. Towards the end of my tenure I was involved in predicting the customer churn.