Rahul Sharan

Background

About Rahul Sharan

I'm a Senior Software Consultant with 10+ years of experience in the banking and financial services domain, with deep expertise in fraud detection, AML monitoring, and real-time risk analytics. I’ve led end-to-end deliveries across platforms like NICE Actimize AML (SAM, CDD), RCM, and AVA, and built modular, config-driven ETL frameworks, dynamic mapping engines, and real-time surveillance solutions. My core work bridges legacy systems and modern architectures—integrating APIs, optimizing data pipelines using Python, Polars, DuckDB, and driving initiatives like ISO 20022 (MT to MX) migrations for global payment modernization. I'm passionate about clean architecture, business-aligned design, and scalable solutions. Currently, I’m actively learning AI/ML, with a focus on LLMs, AI Agents, and automation in financial crime and compliance. Core Competencies 🧠 AML & Compliance Platforms NICE Actimize (SAM 8.5, SAM 9, SAM X, CDD, WLF), ACTONE, RCM, AIS, AVA 6.4 — Implementation, tuning, and integration for AML/fraud Programming & Data Engineering Python (OOP, functional), Polars, Pandas, DuckDB, Delta Lake — ETL pipelines, analytics, and high-performance data wrangling Databases & Scripting Oracle SQL/PLSQL, Unix Shell, Performance Tuning — robust, scalable data operations APIs & Integration FastAPI, Swagger, Postman, SoapUI — designing secure REST APIs for real-time and batch interfaces DevOps & CI/CD Jenkins, Bitbucket, Git, Groovy, Ansible — end-to-end automation and release workflows Cloud & Infra AWS (EC2, S3) — provisioning, storage, and compute for hybrid workloads Reporting & Dashboards Tableau, Tableau Prep, Power BI, AVA — actionable dashboards and exception insights for compliance Currently Exploring AI/ML for Risk & Compliance | LLM Agents for Banking Use Cases | n8n-based automation Bringing AI-powered intelligence into the world of regulatory monitoring and financial crime.