Learning. Building. Evolving.

March 2026 – Present

Gurgaon, India

Software Engineer II (SDE II)

American Express

• Spearheaded the end-to-end development of an enterprise Data Taxonomy platform using Next.js, FastAPI, and PostgreSQL, replacing third-party vendor Collibra and saving $250K+ in annual licensing costs across 15+ business units.
• Architected EDaaS (Enterprise Data Archival as a Service), scaling cloud-native data offloading for 20+ internal engineering teams and securely migrating 50TB+ of legacy data with a 40% reduction in storage costs.
• Directed cross-functional delivery as Technical Lead for the EDaaS initiative, mentoring contract engineering staff and conducting 30+ architecture reviews to enforce security standards and maintain 99.9% service availability.

April 2025 – March 2026

Gurgaon, India

Solutions Architect II (SA II)

American Express

• Architected and engineered Celery-based autosync ETL pipelines on a 3-day schedule to migrate ~70% of platform data from Couchbase to PostgreSQL. Owned complex architectural trade-offs during rollback windows, significantly reducing legacy-service dependence for cross-functional engineering teams.
• Spearheaded a GenAI initiative for CloudUniversity, the AmEx internal enterprise learning platform. Architected a Python-based workflow to extract video transcripts using FFmpeg, segment text into manageable chunks, and execute prompt-engineered calls to the Amex Internal GenAI capability to auto-generate structured summaries and sub-topics for each video.
• Ensured cross-team security compliance under Project Guardian by remediating 200+ vulnerabilities and enforcing strict image lifecycle policies across dev, QA, and prod environments, strengthening the platform’s risk management and control. Mentored junior engineers and drove comprehensive architecture reviews to elevate risk-management standards outside the immediate team.

August 2022 – April 2025

Banglaore, India

Solutions Architect I (SA I)

American Express

• Architected, developed, and scaled the distributed enterprise learning platform CloudUniversity using React.js, Java Spring Boot, and Python FastAPI microservices, providing a video content management system and modular course-curation system while reducing content search latency by ~40% over time.
• Engineered an unsupervised ML content-based video recommendation engine utilizing Pandas, NumPy, and similarity-based clustering to deliver personalized content discovery. Mentored interns on user data preprocessing, content-based filtering, and feature representation, raising coding quality and establishing team-wide best practices.
• Spearheaded a cross-functional Hydra container migration from OpenShift v3 to v4 for 12+ enterprise application teams, conducting rigorous architecture reviews and optimizing Kubernetes deployments to improve overall system scalability and reliability by ~35%.
• Scaled the observability and operational efficiency of the learning platform by implementing Redis caching alongside AI-driven ELF telemetry, cutting API latency by ~25% for large-data endpoints. Automated manual license allocations for a third-party learning platform via the Python 3 Celery framework, reducing operational overhead by 70% and shifting team focus toward strategic engineering.