Open to opportunities

Devansh Patel

@devanshpatel

Message

Backend engineer specializing in scalable API systems, AI telephony, and cloud deployment.

India

Message

What I'm looking for

I seek backend roles building scalable APIs and cloud-native systems, with emphasis on reliability, automation, and AI integrations in collaborative startup environments.

I am a backend engineer focused on building scalable, production-ready APIs and AI-driven telephony systems. I have designed and deployed high-throughput backend services using Django, FastAPI, MongoDB, and AWS, and I’ve implemented large outbound calling campaigns, AI integrations, and reliable real-time communication stacks.

My work spans fintech and SaaS startups where I delivered secure payment/KYC integrations, async processing with Celery/Redis, serverless deployments, and system performance optimizations. I prioritize reliability, automation, and clear engineering trade-offs to deliver measurable product impact.

Experience

Work history, roles, and key accomplishments

Current

SDE Intern (Backend)

Current

Cruv

Jul 2025 - Present (11 months)

Architected and deployed scalable AI-driven voice infrastructure connecting AI agents to phone calls and WebRTC clients, and built backend services to manage campaigns, call workflows, and AI-to-human escalation; processed 1,000+ outbound calls/day with fault-tolerant queuing and real-time monitoring.

fastAPI MongoDB SIP WebSockets Docker Nginx ElevenLabs

Backend Intern

BrainyBeam Technologies

Mar 2025 - Jun 2025 (3 months)

Developed and maintained RESTful APIs using Django and DRF, implemented asynchronous processing with Celery and Redis, and optimized database queries while resolving production issues in agile teams.

Django Django REST Framework Celery Redis PostgreSQL Query Optimization Git RESTful APIs

Backend Intern

Tarrakki

Dec 2024 - Feb 2025 (2 months)

Designed secure fintech backend APIs with Django/DRF, integrated third-party financial KYC and transaction APIs, and deployed serverless components using AWS SAM to improve reliability and compliance.