Regulatory Data Platform
End-to-end architecture for ingesting, normalizing, and serving large volumes of regulatory data with search, filtering, and graph-style exploration.
About
Principal Software Engineer focused on designing and scaling backend systems for AI-driven, data-intensive SaaS products. Experienced in system architecture, distributed systems, and building reliable platforms for enterprise customers.
Strong hands-on background with Python/Django, Go, React, microservices, message queues, and cloud-native infrastructure. Enjoys working at the intersection of product and engineering to turn complex requirements into simple, robust systems.
Experience
Principal Software Engineer · 4CRisk AI
- Own end-to-end architecture for AI-based regulatory/fintech platforms handling high-volume, mission-critical data.
- Lead backend teams across microservices, data pipelines, and ML/LLM integrations to deliver scalable, resilient systems.
- Define technical standards for performance, observability, testing, and reliability across services.
Senior Backend Engineer · Aspire Fintech
- Designed and implemented distributed systems for real-time analytics and compliance dashboards.
- Improved performance and reliability of core services through refactoring, caching, and better data models.
- Mentored engineers on system design, debugging complex production issues, and best practices.
Selected Projects
LLM/AI Compliance Assistant
Backend for a compliance assistant that uses LLMs and vector search to answer policy and regulatory questions with traceability and guardrails.
Real-time Monitoring & Dashboards
WebSocket-based dashboards for tracking pipeline health, data freshness, and SLA adherence across distributed systems.
Contact
The fastest way to reach out is via email or LinkedIn. Always open to discussing system design, backend architecture, and AI/LLM infrastructure.
- Email: roytripandipta@gmail.com
- LinkedIn: linkedin.com/in/roytripandipta
- GitHub: github.com/roytripandipta