Sudhang Shankar

Staff-level Data Platform Engineer with 12+ years building production data infrastructure and distributed systems. Architected a multi-tenant microservice and AI platform adopted globally across multiple business lines at thousands-of-requests-per-second scale. Published researcher in network science with expertise spanning enterprise data platforms, high-performance ingestion pipelines, and distributed data processing.

Senior Research Software Engineer, Data Infrastructure at Weblyzard Technology (Modul University) (2023-04 – 2025-10)

Tech: Elasticsearch 7, Java 21, vert.x, JUnit 5, Testcontainers, Docker, Gitlab CI

• Re-architected enterprise search infrastructure serving news and technical content at scale, implementing paragraph-level document indexing with schema denormalization and storage optimization
• Boosted search precision 15-45% while doubling data volume with only 20% storage overhead; also improved result diversity and coherence (evaluation ongoing).
• Improved indexing throughput 3x (1000 - 3000 docs/min) by replacing regex retention algorithm with PATRICIA Trie data structure, also reducing garbage collection churn.
• Introduced first unit and integration test infrastructure for a 20-year codebase
• Established modern CI/CD practices and enabled offline development using docker
• Led incremental platform migration to async vert.x framework while maintaining production stability
• Refactored Louvain clustering algorithm for large-scale graphs, improving maintainability and performance.

Senior Software Engineer and Tech Lead at ION Group (Reval) (2015-05 – 2022-09)

Tech: Java, Spring Boot, Docker, ActiveMQ, ELK stack, Open API, Python, Jenkins, Keras, scikit-learn

• Architected ION Hub platform, a containerized microservice workflow orchestration platform with auto-generated REST APIs serving 1200+ enterprise clients.
• Built multi-tenant event-driven architecture breaking monolithic systems into scalable microservices, handling 5000+ req/s with resilient messaging, monitoring, and distributed logging
• Implemented enterprise-grade reliability patterns: contract-first APIs, code generation, transactional outbox, circuit breakers, distributed monitoring and structured logging
• Platform adopted by 10+ teams globally across multiple verticals, becoming company-wide standard for SaaS, REST API development and microservice architecture
• Architected AI Hub, a multi-tenant AI service bus that enabled data science models to run as first-class enterprise services. Designed plug-in pattern for ML APIs, integrated structured logging, Prometheus metrics, model registry, and reproducible persistence. Enabled global DS teams to productionize models without distributed systems expertise, adopted by 10+ teams serving 1200+ enterprises.
• Used contract-first API design, automated SDK generation, multi-tenant model registry, and async workflow orchestration for training/inference pipelines and devex tooling
• Founded and tech-led a global team of 8 engineers, the first Machine Learning team for ION Treasury.
• Built 4 AI-powered RESTful APIs that reduced treasury operational processing time from days to seconds. Implemented Time series forecasting and NLP microservices using Keras.
• Pioneered Modern CI/CD workflow with fail-fast Test Driven Development pipelines, quality gates and dark launches
• Co-Architected 'ION Treasury Gateway' for seamless management of hundreds of bank connections worldwide.
• Delivered payment messaging infrastructure supporting SWIFT MT/MX, ISO 20022, Open Banking APIs, and regional standards enabling 10000+ secure transactions daily across global financial systems
• Designed secure automated workflows with 24/7 monitoring, anomaly detection, sanctions screening, and audit logging for millions of monthly transactions.

Senior Software Engineer at Reval India (2012-09 – 2015-05)

• Founded Integration team merging.net and Java codebases, mentoring 6 junior developers. Modernized legacy UI to in-house MVC framework
• Migrated across all stack layers using Javascript,.net, vb6, Java, SQL Server, and Oracle.
• Key Result: 300+ Screens migrated for 250 enterprise clients

Master of Science in Computational Social Systems (Part-Time) – Graz University of Technology (2026-01)

Master of Computer Applications in Software Engineering – Guru Gobind Singh Indraprastha University

Bachelor of Science in Computer Science – Delhi University