Sep 2024 – Mar 2025 · 6 mos · Tampa, Florida, United States · Remote

• At PayPal, a global fintech leader empowering digital commerce worldwide with secure, seamless payments and innovative financial solutions for businesses and individuals, I lead Responsible AI initiatives focused on inventory unification, governance, model performance observability integration, and regulatory compliance. I ensure adherence to emerging AI regulations such as NIST AI, Colorado AI, and the EU AI Act, driving responsible AI development. My role involves spearheading risk assessment frameworks, enhancing audit readiness, and streamlining compliance reporting for AI models and systems. By collaborating cross-functionally, I led conceptualization, design and delivery of real-time AI systems observability and systemic risks mitigation capabilities, specifically focused on Generative AI models based systems, reinforced by human in the loop intervention, strengthening PayPal’s commitment to secure and ethical AI-driven financial solutions. This resulted in 80% faster review approval rates, 60% decreased time-to-resolution for compliance related audit follow-ups from external audit boards related to high risk models behavior catering to a user base of ~200M, and potentially safeguarding PayPal from a penalty exposure of ~XB euros.

May 2024 – Sep 2024 · 4 mos · Tampa, Florida, United States · Hybrid

• At Citibank, a global banking leader, providing financial services, wealth management, and digital banking solutions across industries, I orchestrated Know-your-customer (KYC), Anti-money laundering (AML) & Suspicious activity report (SAR) compliance, fraud detection, and regulatory reporting efforts across globally distributed cross functional teams for products such as wholesale loans, deposits, securitized financial trades (SFT) & derivates, reducing fraudulent transactions by 30% and mitigating $30M in potential fines. Validated & launched 50+ BRDs, ensured effective data governance & quality across ETL data pipelines migration by using SQL, Excel, Secure CRT Unix tool, Python, Tableau, & internal data lineage tool. Boosted regulatory compliance UAT approval by 35% via root cause analysis, impact analysis & process optimization. Oversaw regulatory submissions, ensuring 100% accuracy across filings like CCAR, SEC_10K, FRY9C, FRY14Q & FR2510. Enhanced stakeholder collaboration via Agile execution, reducing UAT sign-off time by 20% and improving quarterly total financial materiality by ~2B USD.

Dec 2023 – May 2024 · 5 mos · Dallas, Texas, United States

Aug 2022 – Mar 2023 · 7 mos · Tempe, Arizona, United States · Hybrid

Mar 2023 – Dec 2023 · 9 mos · Scottsdale, Arizona, United States · On-site

• Stax.ai, a Series-B fintech startup with <30 members, leverages cutting edge predictive ai and multi modal large language models, automating core business workflows for financial and retirement administrative operations entities, at both enterprise and small business levels.
• Defined and executed a 0-1 product roadmap, driving $5.5M in ARR. Launched GenAI-driven brokerage statement reconciliation & agentic AI customer experience workflows execution for target retirement TPA admin persona, slashing operational costs by 30%. Led GTM strategy for Azure AD Identity & Access Management (IAM) and Wolters Kluwer APIs consumption integration, boosting sales close rates by 3x. Launched an NLP-powered transaction classifier with AWS Textract, reducing rework costs by 65% and boosting NPS by 30%.

Jun 2022 – Aug 2022 · 2 mos · Atlanta, Georgia, United States · Hybrid

• At BlackRock, the world’s largest asset manager, driving financial growth through investment innovation, risk management, and sustainability, I led program to simplify & optimize index portfolio risk analytics UX & backend engine powered by Aladdin, reducing first contact resolution time by 90%. Automated KPI tracking via Power BI, improving reporting efficiency by 93% & cutting time to decision by 40%. Led data governance initiatives, streamlining compliance and data-sharing agreements. Streamlined portfolio risk change management processes, boosting quarterly projected cash flows over by 8% due to increased sprint velocity and reduced re-work efforts.

Jul 2021 – May 2022 · 10 mos · Tempe, Arizona, United States · Remote

Aug 2020 – Aug 2021 · 1 yr · Bhubaneswar, Odisha

• I resigned from CGI after securing a full scholarship to pursue a Full-time MBA at Purdue University. However, due to COVID-based travel restrictions and resulting US consulate closures in India back in 2020, I was unable to obtain my visa in time. During this period, I demonstrated resilience and adaptability by rigorously preparing for B-school entrance exams, scoring 720 (95th percentile) on the GMAT and 328 (95th percentile) on the GRE. I also upskilled in data analytics and machine learning, securing admits to five top-30 U.S. B-schools, ultimately joining ASU’s Full-Time STEM-MBA program with a full ride scholarship (worth 125k USD). Simultaneously, as a lead volunteer at Robin Hood Academy - Bhubaneswar Region Chapter, I spearheaded 70+ online academic workshops and coordinated 40+ in-person food distribution drives in the peak of COVID pandemic in India, supporting 200+ families for five months during the countrywide COVID lockdown in 2020.

Aug 2018 – Aug 2020 · 2 yrs

• For a leading Scandinavia-based digital food services resource planning SaaS product, I led the launch of QR code enabled wallet- based-payments & inventory tracking, reducing inventory search time by 80%. Led POS integration for healthcare clients, improving customer satisfaction by 30%. Developed a SaaS-based invoicing system, boosting new invoice creation by 80%. Optimized event-driven microservices for payments, real time delivery tracking & menu nutrition calculation, achieving 99.999% platform uptime and GDPR compliance.

Aug 2017 – Jul 2018 · 11 mos

• Led system design & architecture, & played a core part in developing a 0->1 enterprise-grade knowledge assistant product (similar to Confluence), powered by NLP machine learning models & GraphQL(Neo4j), which recorded internal customer adoption rate of 90% in first month of launch across company.
• Debugged and resolved ~70 P0 bugs and developed ~25 P1 features during MVP creation phase, primarily focused on optimizing search efficiency and page-load latency, role-based access implementation & enable cross-enterprise document recommendation based on user search query. This was achieved by leveraging a tech stack that comprised using .NET Core framework for backend development using C#, Angular-material, CSS & Typescript for front end development, Visual studio IDE, & n-tiered MVC microservices architecture foundation leveraging MS SQL, Mongo-DB, & Amazon S3 databases, RabbitMQ for message queue implementation, Redis for caching, dockers for orchestration & bitbucket for CI/CD pipeline deployment, achieving platform uptime of 99.9% and customer satisfaction score of 87% over next 2 quarters post initial MVP release in December 2017.