Abhinav Madham

Own end-to-end delivery of Enterprise AI business applications, from use case definition and architectural design through production deployment and operationalization. Designed and scaled conversational and LLM-driven applications supporting intelligent decisioning, advanced analytics, and enhanced customer and provider experiences. with emphasis on reliability, governance, and enterprise adoption. Built and deployed multi-agent and autonomous AI workflows using advanced prompting and orchestration techniques to enable complex reasoning, task decomposition, and contextual decision support. Established reusable AI application frameworks integrating semantic data models, curated enterprise datasets, and domain-specific knowledge to accelerate development across multiple business lines. Defined technical standards and best practices for LLM usage, model selection, evaluation, and lifecycle management in production environments. Partnered with product, engineering, risk, and compliance teams to ensure AI applications meet regulatory, security, and performance requirements. Manage and mentor a cross-functional team of data scientists, setting execution strategy, prioritizing initiatives, and developing talent to scale AI capabilities across the organization. Foster a culture of innovation, rigor, and accountability while ensuring AI solutions meet enterprise requirements for performance, governance, and sustainability. Serve as a key contributor to the firm’s broader AI roadmap, helping shape the evolution from model-centric experimentation to durable, business-driven AI applications deployed at scale.

Led development of advanced analytics and executive-facing dashboards with trend and performance insights, improving visibility into client payment behavior and accelerating business decision-making. Stabilized and enhanced payment performance reporting by resolving systemic data quality and reconciliation issues across source systems, establishing durable solutions that improved data reliability and client trust. Integrated ongoing payment network and brand updates into analytics pipelines, ensuring downstream reporting accuracy and continuity across dependent platforms and client deliverables. Acted as a subject matter expert for cloud migration initiatives, defining analytical approaches, advising project managers, and supporting development teams through architectural and data-transition decisions. Partnered with risk, controls, and audit stakeholders to support assessments and documentation, ensuring analytical processes met firm-wide governance and compliance standards. Strengthened team effectiveness by establishing code review guidelines, delivering technical training, and cross-training peers to improve coverage, consistency, and knowledge transfer across the analytics function.

Led end-to-end design of enterprise data platforms, starting from business and operational requirements and translating them into scalable physical and logical data models to support analytics, reporting, and machine learning use cases. Authored data models from scratch by partnering directly with product, payments, and operations stakeholders to define business entities, metrics, hierarchies, and data contracts, establishing a consistent analytical foundation across systems. Designed and delivered a petabyte-scale data migration framework to move critical datasets into secure, multi-tenant platforms, embedding validation, reconciliation, and auditability into the core architecture. Built standardized ingestion and transformation frameworks using Python and Shell to load data from internal systems and external partners into the enterprise data lake, incorporating automated business rule validation and data cleansing logic. Owned the evolution of analytical and dimensional data models, ensuring alignment between source systems, downstream reporting, and emerging machine learning requirements. Managed and secured multi-tenant Hadoop environments across multiple data centers, implementing role-based access controls, encryption, and enterprise security standards. Automated large-scale data pipelines and scheduled data loads from Teradata, Oracle, and external sources into Greenplum and Hadoop platforms, improving reliability, scalability, and operational efficiency. Partnered closely with data scientists and analytics teams to resolve data inconsistencies, refine data definitions, and enable accurate, trusted business intelligence. Collaborated with executive, product, and design leaders to align data architecture and modeling decisions with evolving business priorities, and supported delivery of the firm’s first client-facing machine learning solution.

Developed Java applications for comprehensive data encryption (at rest, in transit, and in use) on Hadoop distributed systems using MapReduce, and created Automated data model processing on big data platforms including Greenplum and Hive. Led cross-functional teams in solving complex, mission-critical problems while providing deep technical expertise in design, analytics, development, and testing to elevate team capabilities and meet business requirements. Mentored innovators and technologists in creating next-level solutions that transformed business operations.​

Designed cutting-edge user interfaces using PrimeFaces framework and integrated Adobe e-signature solutions via REST API across multiple web applications. Implemented online payment gateway systems for 20+ applications. Collaborated with Business Intelligence teams to translate business requirements into backend business logic using Java and JSF solutions, while developing and modifying PL/SQL packages to support new customer features. Participated in full software development lifecycle, consistently delivering on-time business solutions that met customer objectives.​

Developed and maintained application systems with integrated software configuration, while analyzing business processes to define functional requirements and technical specifications. Managed enterprise infrastructure including firewall setup and SSL security. Administered IBM WebSphere clustered environments, application deployments, and messaging systems supporting healthcare document integration with external partners. Oversaw hardware and operating system security updates for specialized healthcare transaction systems, while providing project status reporting to leadership and serving as Change Manager.​

Developed and maintained university web pages, providing technical support and content management for graduate school digital presence.​

Front Desk Assistant | International Office Managed student inquiries via phone and in-person, while supporting event coordination and office administrative functions.​

11th and 12th Grade

12 year of education include Pre-Primary to 10th grade