Nairit Chowdhury

About Nairit Chowdhury

Results-driven Engineering Leader with experience building high-performance platforms in payments, fraud detection, and risk analytics. Proven track record in leading global teams to design and deploy AI/ML-based, cloud-native, real-time streaming systems that secure mission-critical applications across BFSI and cybersecurity domains. Adept at driving architecture, engineering strategy, and end-to-end product development. Recognized for transforming legacy systems into intelligent, scalable platforms using Generative AI, LLMs, Apache Kafka, Spark, and Databricks. Strong collaborator with product leaders and cross-functional stakeholders to translate business goals into technology impact.Achievements : Designed a global enterprise data platform processing 200M+ events/day and serving daily users. Delivered fraud analytics platform processing millions of transactions/day with sub-second response time. Led large-scale Lakehouse ingestion at 30+ TB/day with AI augmentation. Delivered GenAI-powered audit platform saving 60% turnaround time. Managed distributed team of 20+ across 3 programs; maintained 99.99% SLA. Designed fraud detection engines impacting millions of transactions daily.

Experience

1. Data & Ai Strategy Leader

   Deloitte

   May 2023 — Present · Bengaluru, IN

   Payment Fraud Detection & Risk Analytics (Kafka + Spark + Snowflake) Directed end-to-end delivery of a real-time fraud detection engine scoring millions of transactions/day using Kafka, Spark, Autoencoders, and RNNs, achieving >98% accuracy. Orchestrated deployment of streaming analytics pipelines to detect anomalies, transaction risks, and fraud signatures in sub-second latency environments. Integrated CI/CD and MLflow pipelines for automated retraining and model refreshes with experimentation frameworks and audit trails.Enterprise Data Platform for Global Analytics (Snowflake-GCP-BigQuery-Databricks) Built and scaled a unified data platform handling 200M+ daily events, serving global delivery teams, RFPs, and client insights. Designed ingestion, enrichment, and access control pipelines with RBAC using Delta Lake, Airflow, and Unity Catalog, supporting both batch and real-time processing.Leadership & Strategy Headed a 20+ member engineering team across ingestion, platform engineering, and ML integration. Drove OKRs, SLAs, product roadmaps, and collaborated with CISO, Compliance, and Risk teams. Regularly contributed to RFPs, SoWs, and platform budgeting across multi-year initiatives.

Education

• Indian Institute of Management, Calcutta

  EGMP, Business Administration and Management, General

• Techno India Salt Lake

  Bachelor of Technology (BTech), Electrical and Electronics Engineering

  2009 — 2013

• Nava Nalanda High School

  Physical Sciences

  1995 — 2009

Skills

• Maven
• Team Management
• Html5
• IT Service Management
• Software Development Life Cycle (Sdlc)
• C
• Portlet Development
• Tomcat
• Controllers
• Jasper Reports
• Ejb
• Xml
• Android Development
• Mainframe Batch
• Software Development
• Css
• Unisure
• Agile Methodologies
• Pl/Sql
• Html
• Vbscript
• Sql
• Hibernate
• Production Support
• Spring Framework
• Jsp
• Tortoise Svn
• Jboss Eap
• Multithreading
• Servlets
• Java Enterprise Edition
• Incident Management
• Portals
• Itil V3 Foundations Certified
• Liferay
• Release Management
• Spring Mvc
• Eclipse
• Core Java
• Javascript