Feb 2024 – Present · 2 yrs 1 mo · Hybrid

• Lead the architecture, design, and delivery of enterprise-scale GenAI and Agentic AI solutions, translating business problems into scalable, production-ready AI platforms.
• Own end-to-end AI solution lifecycle — from architecture definition and technology selection to build, deployment, governance, and adoption.
• Designed and governed Agentic AI systems leveraging LangChain, LangFlow, Microsoft Copilot Studio, and SAP Joule Studio, enabling multi-agent orchestration, tool calling, and reasoning workflows.
• Architected Retrieval-Augmented Generation (RAG) platforms integrating structured data, unstructured enterprise knowledge, and LLMs to ensure accuracy, explainability, and enterprise readiness.
• Led the development of AI agents for Lead Management, enabling intelligent lead ingestion, enrichment, prioritization, routing, and AI-driven insights for business teams.
• Defined AI architecture standards and best practices covering prompt engineering, agent design patterns, model validation, documentation, security, and ethical AI.
• Partnered with senior stakeholders and global teams to define AI strategy and roadmaps, ensuring alignment with business priorities and measurable value realization.
• Built and mentored high-performing AI and data engineering teams, driving technical excellence, knowledge sharing, and adoption of agile delivery practices.
• Oversaw integration of AI solutions with enterprise data platforms, backend systems, and analytics tools, ensuring scalability, reliability, and governance.
• Acted as solution architect and trusted advisor in client discussions, simplifying complex AI concepts for executive and non-technical stakeholders.

Jan 2020 – Feb 2024 · 4 yrs 1 mo · Hybrid

• Designed and developed machine learning and AI solutions across analytics, sustainability, and CPG domains, supporting business insights and automation use cases.
• Built Python-based ML pipelines for data preparation, feature engineering, model training, and evaluation.
• Worked extensively on data modeling, transformation, and analytics foundations, enabling downstream AI and reporting solutions.
• Delivered advanced analytics dashboards and insights using Power BI and SAP Analytics, supporting executive decision-making.
• Supported early LLM and GenAI explorations, contributing to prompt design, experimentation, and feasibility assessments.
• Collaborated with data engineering and business teams to translate analytical requirements into scalable technical solutions.
• Contributed to solution documentation, knowledge assets, and internal accelerators, strengthening EY’s analytics and AI offerings.
• Supported Agile delivery through sprint planning, estimations, and cross-functional collaboration.