Open to opportunities

Gautham S Panicker

@gauthamspanicker

Message

Backend-focused software engineer specializing in Python, FastAPI, and scalable async systems.

India

Message

What I'm looking for

I’m looking for roles where I can own production systems end-to-end—building scalable async APIs, improving reliability/observability, and collaborating across teams to deliver high-impact features in fast-moving environments.

I’m a software engineer with 3 years of experience designing, scaling, and owning production backend and frontend systems in SaaS environments. I specialize in Python, FastAPI, Django, Redis, RabbitMQ, and AWS—turning evolving product requirements into production-ready, reliable systems.

At QBurst, I’ve built and maintained scalable backend services for high-traffic applications serving 500k+ daily users, improving API performance, query efficiency, reliability, and async workload handling. As a founding member at HUZL.IN, I led backend architecture and platform reliability, strengthening deployment strategies, CI/CD automation, and cloud cost efficiency on AWS while guiding junior engineers and collaborating closely with React-based frontend workflows.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer

Current

QBurst

Jan 2023 - Present (3 years 4 months)

Designed and maintained scalable backend systems with FastAPI, Django, Redis, Celery, and RabbitMQ for high-traffic SaaS serving 500k+ daily users, improving API performance, query efficiency, reliability, and async workload handling. Built cross-service synchronization workflows for distributed microservices and improved observability with logging, metrics, and tracing, speeding up debugging and

Python fastAPI Django Redis RabbitMQ Celery PostgreSQL Distributed Systems Observability

Founding Member, Backend

HUZL.IN

Jan 2024 - Jan 2025 (1 year)

Owned backend architecture and platform reliability for a scalable job marketplace, building async workflows, authentication systems, and payment integrations with retry-safe flows and idempotency handling. Improved deployment reliability, infrastructure security, and AWS cost efficiency by optimizing resources and streamlining CI/CD with GitHub Actions, Docker, and Nginx.