I’ve always been fascinated by how technology transforms industries — and with Generative AI, that transformation is accelerating faster than ever. My journey — spanning Target, AWS, and Gartner — bridges AI/ML innovation with product strategy. My current mission is to shape how enterprises can leverage AI purposefully and profitably — driving ROI while fostering human–AI collaboration that amplifies creativity, efficiency, and value across industries. Also passionate to educate and mentor students and professionals transitioning to AI careers across various sectors. At Target, I lead initiatives that explore the intersection of AI, product, and design, building platforms that redefine how retail operates in the era of intelligent agentic systems. I led the creation of Trend Brain, a patent-filed, multi-agent GenAI platform featured in RetailDive and recognized by Target’s CEO for advancing Style+Design innovation. I’ve also built data-access and query automation platforms that democratize data driven insights across the organization and am currently driving Agentic AI strategy at enterprise scale. Technology skill set spans across AI/ML - Data Science: • Generative AI & Natural language processing (NLP) LLMs - GPT-4o & 5, Gemini 2.5 pro & flash Techniques: Multimodal Retrieval Generation(RAG), Fine tuning LLMs Agentic Frameworks: Langgraph, Autogen, Google ADK, CrewAI • Deep learning - RNN, LSTM, Transformers, Attention • Machine Learning - Regression (Linear), Classification(Logistic Regression, Decision Trees, K-NN, XGBoost), Clustering (K-means) • Demand Prediction and Time series forecasting (ARIMA models) Coding: • Data Analysis & ML using Python (Pandas,TensorFlow, Keras,Scikit-learn), R, SQL • Software development using C++, JAVA, PERL, SHELL, HTML Cloud Computing: • AWS Services ranging from S3, EC2, Sagemaker, Glue, Athena, Redshift, Lambda to Comprehend, Rekognition, Textract, A2I, Bedrock etc. • Foundational experience in Google Cloud & Azure services and MLOps across cloud platforms Statistics & Tools: • Data analysis, Statistical Inference - Correlation, Hypothesis testing, ANOVA • Foundational knowledge of Bayesian Statistics and Probability • Data Visualization using Tableau, Power BI, Looker D3