Senior Technology Leader | AI, Cloud, Data, Analytics, SaaS, Product Management I have hands-on expertise in driving AI-powered digital transformation, innovation, and growth at scale. I am results-driven technology leader with expertise in AI/ML, Generative AI, Cloud Data, Analytics, and Product Management across B2B and B2C SaaS. Passionate about building AI-driven solutions that enhance customer engagement, personalization, insights, search recommendations, and churn reduction. Leadership Philosophy I am passionate about building high-performing teams, driving AI innovation, and executing technology strategies that create meaningful business impact. By combining AI, analytics, and cloud technologies, ability to unlock new opportunities and transform customer experiences. Key Expertise & Achievements ✔ AI & Digital Transformation – I led the roadmap, strategy, for enterprise-wide AI adoption, modernizing data infrastructure and data engineering for 4,000+ clients with DataBricks, AWS, Azure, Snowflake, Tableau, PowerBI, Gen AI, NLP, and AI Assistants. ✔ Cloud, Data Analytics, Data Visualization, Data Engineering, Big Data, Azure, AWS, GCP, Snowflake, Databricks & SAS, Tableau, PowerBI, Looker, DBT, ADF, Glue ✔ Product Innovation – Built AI-powered B2B/B2C SaaS platforms, including IncomeWizardPRO & MedicareWizard, driving growth & efficiency. ✔ AI/ML & NLP Solutions – Developed predictive analytics, personalization engines, and Gen AI-powered tools for decision support, content creation, and engagement. ✔ Cloud & Data Engineering – Architected scalable multi-cloud AI/ML solutions on AWS, Azure, GCP, Snowflake, and Databricks. ✔ Leadership & Execution – Led cross-functional teams of product managers, data scientists, and engineers, delivering high-impact AI solutions. ✔ Big Data & Integrations – Integrated AI-driven insights with CRM, ERP, and enterprise systems to improve customer visibility, engagement, and automation. Technical Skills 🔹 AI/ML: ChatGPT, OpenAI, Bert, GPT, NLP, Deep Learning, Llama, LangChain 🔹 Data Science: Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, SQL 🔹 Cloud & Big Data: AWS (SageMaker, Glue), Azure ML, Google AI, Snowflake, Databricks, Apache Spark, Kafka 🔹 Product & Engineering: React.js, Node.js, FastAPI, C#, .NET, PostgreSQL, MongoDB