Vinayak Shiddappa Bali

Development and Deployment of Computer Vision models for unstructed data use-cases on production. Implementing Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) techniques to enhance information retrieval from documents. Generating database queries from natural language using LLM’s. Implementation of MLOps techniques for ML Pipelines. Design and Development of Data Science, Machine Learning models for Health Analytics application saving millions of dollars.

Increasing the accuracy of Machine Learning Model using Graph Algorithms and feature generation techniques for Fraud Detection dataset. Graph Neural Networks for Node Classification use case. Demand Forecasting using Deep Learning LSTM model. Collaborating with the sales team of TigerGraph and Neo4j. Effectively managed cross-functional teams leveraging Scrum methodology and actively participated in product-level management meetings.

Development of Open Source Graph Platform. The project was translated from POC to Production saving thousands of dollars. Complex use cases delivery using Graph (Genealogy etc) in Manufacturing Domain. Development of Machine Learning Model for Recommendation Classification. Neo4j Certified Professional and hands-on experience with AWS and Google Cloud Platforms. Exploratory Data Analysis(EDA) for Demand Forecasting Time Series Data.