Santosh Turamari

About Santosh Turamari

Hands on experience in Machine Learning, Natural Language Processing and Generative AI- Implemented API services using Python, FastAPI and Ruby on Rails for web applications- Successfully developed a AI based chatbot assistant for the insurance domain using RAG based approach using OpenAI, Langchain, ChromaDB as vector database and Python- Implemented the review analysis on insurance products, based on the benefits and different providers and helped the client to build a recommendation system for the end users, based on their current requirements using LLMs like Google Gemini, Mistral and OpenAI and vector database FAISS- Implemented the REST API using the AWS Lambda and API Gateway- Integrated the LLMs using the Amazon bedrock and Boto3 SDK to have effective communication between Python and AWS Services- Handling large insurance and pension data, estimating and predicting the customer fund transfer value by building the different regression models- Classifying the users on different categories, based on their income, expenses and current status for the product purchase recommendations- Value prediction of time series use cases using deep neural networks, tensorflow and PyTorch- Developed the applications, in integration with Amazon Bedrock using Mistral LLM- Experience in Web Development field using Ruby on Rails, Elixir, Phoenix, JQuery, Postgres and MySQL- Understanding of Azure Cloud following the DevOps culture- Deploying the web application using the CI / CD and docker containerization- Capable of achieving personal and organisation goals- Able to commit and work individually and as a team member- Well organized to meet the timelines- Expertise in meeting the clients and stakeholders- Experienced to work in fast-facing startups and agile environments- Avid learner and flexible to adapt to changes- Self-motivated and get-going attitude person- Leading and mentoring teams.This is the personal project I have worked on AI powered Chatbot. This uses the Python, OpenAI LLM GPT-3.5, Langchain framework using RAG. This also memorizes the historical conversations that happened during the session.https://github.com/santoshbt/ChatBot

Experience

1. Associate Consultant -ai Ml and Genai

   Tata Consultancy Services

   Jan 2022 — Present · London, GB

   Team Management, Cross-Functional collaboration, Stakeholder Engagement, AI driven customer experience- Translated the business goals into product roadmaps and technical capabilities- Manage different projects related to insurance, claims, underwriting under the portfolio- Building a platform which acts as a middleware between Generative AI application and enduser- Integration of LiteLLM as a gateway tool to access different LLMs seamlessly- Building features for pension tracing & consolidation team for the client Legal & General- I am helping the client to build and enhance the application which facilitates the customers to build their pension pot by consolidating their workplace and personal pensions in one place- Implementing the various customer registration journeys to add pensions from the previous workplace and personal categories- Discussion with various stakeholders on functional and non-functional requirements- Application / Database maintenance and defect handling- Developing the interface to generate the quotes to opt in for suitable insurance products based on the customer\'s current situation.

Education

• STJIT Ranebennur

  BE, computer science

  2003 — 2007

Skills

• Rest
• Mongodb
• Javascript
• Angularjs
• Ajax
• Apache
• Oop
• Object-Oriented Programming (Oop)
• Eclipse
• Mvc
• Ruby on Rails
• Python
• Scrum
• Hadoop
• Apache Spark
• Jquery
• Subversion
• Mysql