Oct 2025 – Present · 5 mos

• Driving enterprise-scale AI transformation through productized Generative AI platforms, high-performance engineering, and strategic ecosystem partnerships.
• Key Highlights
• Global AI Leadership: Shaping and executing EXL’s AI charter across Insurance, Banking, and Healthcare driving large-scale digital transformation and generating $8–10M in incremental annual AI revenue.
• AI Product Innovation: Architecting, scaling flagship AI platforms Insurance LLM, Agentic AI, Metropolis, RIVA, and Exlerate.AI and improving decision accuracy, operational efficiency, and time-to-market.
• Engineering at Scale: Leading a 40+ member global AI engineering teams, delivering ultra-low-latency, high-throughput systems powered by AWS Bedrock, NVIDIA GPUs, Crusoe.ai, and hybrid multi-cloud architectures.
• Strategic Partnerships: Driving joint GTM and co-innovation programs with NVIDIA (Metropolis, Riva), AWS, and GCP, advancing multimodal, agentic, and GPU-optimized AI capabilities.
• Operational & AI Governance Excellence: Institutionalizing AI Ops, model risk governance, and cost-optimization frameworks reducing GenAI operational cost by 30%+ while enhancing system reliability and scalability.
• Global Thought Leadership: Representing EXL at NVIDIA GTC, Ray Summit, MLDS, and WEF influencing enterprise adoption of responsible, explainable, and production-grade Generative AI.

Jul 2024 – Sep 2025 · 1 yr 2 mos

• Define and shape the strategic vision for AI solutions that align with business objectives.
• Lead the development of the AI product roadmap, ensuring alignment with long-term strategic goals.
• Mentor and expand the AI team, fostering a culture of innovation and technical excellence.
• Champion the integration of AI technologies across product lines and business processes.
• Direct cross-functional teams through the lifecycle of AI product development.
• Manage budgets, timelines, and resource allocation efficiently across all AI projects.
• Serve as the primary AI liaison for major clients and stakeholders, aligning solutions with their business needs.
• Drive the exploration of new market opportunities through innovative AI applications and partnerships.
• Stay updated on industry trends and advancements in AI technology to maintain a competitive edge.
• Ensure AI solutions comply with all regulatory, legal, and ethical standards.
• Implement and oversee stringent quality controls and testing processes for all AI deployments.
• Maintain active engagement with clients to refine AI strategies based on feedback and emerging needs.
• Build and nurture strategic partnerships and collaborations within the AI community.
• Promote knowledge sharing through workshops, seminars, and publications related to AI.
• Advocate for ethical AI practices and contribute to policy discussions and frameworks.
• Lead by example in continuous learning, encouraging the team to embrace new skills and technologies.

Jan 2023 – Jul 2024 · 1 yr 6 mos

• As the primary AI Solutions Architect, my responsibilities encompass solutioning, designing, developing, and deploying AI solutions and products. Over the past 12 months, I spearheaded the development and deployment of GenAI, a transformative solution that has empowered clients to realize substantial benefits. In addition to managing all engineering aspects, I collaborate closely with data scientists, UI developers, and platform engineers to craft robust solutions tailored to client needs.
• Lead strategic discussions to align AI solutions with client objectives.
• Provide expertise on the potential and limitations of Generative AI.
• Architect scalable Generative AI models and systems.
• Ensure seamless integration with client infrastructures and cloud platforms.
• Oversee end-to-end AI project development and coordinate cross-functional teams.
• Manage project timelines, budgets, and resource allocation.
• Offer guidance to clients on AI engineering and cloud deployment challenges.
• Address technical issues during deployment and provide troubleshooting support.
• Conduct workshops on Generative AI and cloud technologies for stakeholders.
• Develop and disseminate best practices and guidelines for AI solution development.
• Ensure compliance of AI solutions with legal and ethical standards.
• Implement rigorous testing and quality control processes.
• Maintain ongoing communication with clients, gather feedback, and identify additional
• service opportunities.
• Cultivate enduring relationships as a trusted advisor in AI strategy and implementation.
• Remain at the forefront of emerging AI technologies through continuous learning and
• experimentation.
• Contribute to the AI community through research initiatives and presentations.

Jul 2021 – Jan 2023 · 1 yr 6 mos

• Developed end-to-end Machine Learning and Deep Learning solutions for the Enterprise. Solved customer problems by creating solutions using the newest technology on Data Analytics & Machine Learning, Automatic Speech Recognition, Natural Language Processing and Recommender systems.
• Built scalable, available, and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment.
• Articulated problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, and experimentation with machine learning algorithms, deploying models.
• Provided design input specifications, requirements, and guidance to data scientist/software engineers for algorithm implementation for solution/product development.
• Collaborated with ML engineering teams to deploy NLP/DL solutions in production- both on premise as well as cloud deployment.
• Interacted with clients and internal business teams to perform solution feasibility.
• Tools & Techniques
• Dashboard both offline and online for data visualization
• Python, NLP, DL, AI, Machine Learning, and AWS
• Tensorflow, Docker/Containers, Kubernetes, and Cloud Services