Chakravarthi Nukala

About Chakravarthi Nukala

I’m a Software Engineer who approaches engineering through problem-solving, system thinking, and clear trade-offs. I enjoy work where correctness, reliability, and long-term maintainability matter more than quick wins.In regulated enterprise environments, I build and operate services that power compliance-critical workflows—where data integrity, access control, and auditability are non-negotiable. I’m comfortable owning quality end-to-end: from API contracts and validation to incident response and release discipline.My day-to-day work spans API design, authentication/authorization (JWT/RBAC), data modeling, background processing, and distributed components like messaging, caching, and asynchronous execution. I primarily work with Python (FastAPI/Django), PostgreSQL, and AWS, and I treat tools as implementation details—not the design itself.Outside of work, I continuously sharpen fundamentals through data structures, algorithms, and system design, focusing on constraints, edge cases, and clean execution. I’m intentional about building depth—so the systems I work on stay stable under real-world pressure.

Experience

1. Software Engineer

   Goldman Sachs

   Sep 2024 — Present · US

   Backend engineer working on compliance-critical financial services, focused on secure APIs, data integrity, and production reliability across regulated workflows.• Build and operate distributed FastAPI + PostgreSQL backend services supporting onboarding, KYC, and loan workflows, sustaining 99.9%+ API success (2xx) measured via gateway and APM metrics• Lead API governance reviews by defining contract standards and validation checks, reducing partner integration failures by ~40% across production deployments• Design partitioned reporting schemas with controlled data-access enforcement, improving audit export correctness and reducing schema conflicts by ~60% during monthly reconciliation• Implement layered authentication and authorization using JWT, RBAC, and audited session tracking, reducing pre-production auth defects by ~80% and aligning access controls with PCI-DSS requirements• Refactor distributed batch execution pipelines using Celery, Kafka, and Redis, reducing nightly job failure rates by ~70% and improving retry and completion reliability• Establish release validation gates (smoke tests, artifact verification, policy rules), reducing rollback frequency to <1 per quarter and standardizing pre-production release qualityTech: Python, FastAPI, PostgreSQL, Kafka, Celery, Redis, JWT, RBAC, AWS, CI/CD, PyTest, Postman

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech, IT

• Eastern Illinois University

  Master's degree, Computer Technology/Computer Systems Technology