Bhaskara Reddy Sannapureddy's Linkedin Analytics

Highly motivated professional with 30+ years of experience in Project, Product, Program Management and Implementation with strong experience in various domains. Expertise in managing a wide range of high-revenue portfolios and directing worldwide large-scale IT teams. Involved in solution architecture, solutions and implementing best practices. Exploring career in data driven AI, ML and Data Science related projects to implement intelligent, predictive modeling, diagnostic, real-time, prescriptive, predictive analytics solutions efficiently, enhance systems or build new inhouse and client systems. Focusing Machine learning Supervised, Semi-supervised, Un-supervised learning), Deep learning, Reinforcement learning, Graph Neural Networks Research, XAI in the areas of Time Series Forecasting, Prediction, Anomaly Detection, Computer Vision, Speech and Audio Recognition, Signal Processing, Natural Language Processing (NLP),Knowledge Graphs Construction(Neo4j), Transformers, Building, Deploying ML Models(Streamlit, Flask, FastAPI, Docker). CI/CD ML Pipelines, LLMs, Text Mining in Documents, Image Processing, Video Pattern Recognition, Causality, Explainability / Interpretability, GPT, Large Language Models, ChatGPT, Prompt Engineering, Models Fine tuning, Experimenting with LangChain Framework and Retrieval Augmented Generation (RAG) using Google Gemini, BIG DATA, IOT, Cyber Security, GANs, OpenAI, Generative AI related business use cases and applications. Exploring ML in Google Vertex AI, Auto ML, MLOps in GCP, AWS, Azure and Google BigQuery. Enthusiastic in Research, Continuous learner and Mentor Managed, lead and inspired large teams across various levels, roles. Built successful delivery organization and delivered complex programs, projects across APAC, USA, UK regions. Collaborated with executive management, account management and business units to maximize business value and meet compliance requirements. Exploring, identifying diverse AI use cases across multiple industries and domains and has initiated the implementation of various Machine Learning models, AI Tools/AI Accelerators, and Cutting-edge technologies such as Generative AI (GenAI), Advanced Retrieval Augmented Generation (RAG) for Large Language Models (LLMs), ML/AI Models Fine-Tuning, Prompt Engineering, AI Agentic Applications and AI Robotic Process Automation (AIRPA). This transformative journey aims to evolve current Organizational Operations (OrgOps) into AI-Driven/AI-Powered Operations (AIOps) and Machine Learning Operations (MLOps) which inturn provides best AICX.