Ganesh Bade

Background

About Ganesh Bade

A highly seasoned IT professional with over 14 years of experience, specializing in Data Science and Machine Learning, including more than 7 years dedicated to Data Science and 1.5 years in Generative AI. • Key Achievements: – Top Talent 2024: Recognized as a top talent with numerous team-based awards for outstanding contributions and a commitment to excellence. – Patent Holder: Developed a proprietary ML algorithm, the ”n-gram voting classifier”, under Cisco’s ”Trade Secret Patent” in AI/ML, aiming for 100% prediction accuracy for business-specific applications. – LLM Fine-Tuning: Innovated a method to convert unstructured data into an instruction set dataset, achieving over 96% accuracy. – LLM Evaluation: Customized the RAGAS framework for evaluating domain-specific RAG contexts. – Agentic Workflow Development: Implemented critical function-calling workflows using open-source LLMs, AWS Bedrock Converse API, Bedrock Agent, and Azure OpenAI services. – LightRAG Optimization: Tailored the framework to meet specific business domain requirements. – ML Training/Prediction Pipeline Transformation: Enhanced RM Gen 1.0 to Gen 2.0, increasing accuracy from 80% to 95% and reducing batch processing time from 5 days to 10 hours. – Microsoft GraphRAG Implementation: Achieved 97% accuracy by effectively utilizing MS GraphRAG for customer domain-specific documents. • Extensive experience in the full spectrum of analysis, design, data analytics, predictive model development, and support within the IT industry. • Skilled in developing business use cases using statistical and machine learning algorithms for large-scale, high-dimensional data. • Proficient in Time Series analysis (FBProphet/LSTM) and Predictive Modeling techniques such as Linear Regression, Logistic Regression, Random Forest, Gradient Boosting, Support Vector Machine, K-means, and PCA algorithms. • Experienced in Networking (Nov 2021 - Present), Finance (Apr 2021 - Oct 2023), and Insurance (May 2010 - Oct 2023).