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Ameya Kulkarni

@ameyakulkarni

Backend engineer building voice AI backends, including a real-time conversational streaming service with FastAPI and WebSockets.

India

Message

At Screen Magic Mobile Media Pvt. Ltd., I contributed to migrating legacy monolithic services into modular, containerized backend microservices. I also designed and maintained REST APIs and tuned MySQL indexes and queries.

At Jivus AI, I built backend microservices and REST APIs for conversational AI workloads, using Redis caching and distributed session stores to reduce redundant database calls. I also developed client interfaces and admin dashboards in Next.js.

I built a real-time conversational voice AI backend by extending Vocode with FastAPI and WebSockets. Its provider-agnostic speech pipeline integrates speech services from Deepgram, ElevenLabs, Cartesia and Azure Cognitive Services with OpenAI and Anthropic LLMs.

Experience

Work history, roles, and key accomplishments

Software Developer Intern

Screen Magic Mobile Media Pvt. Ltd.

Jan 2026 - Sep 2026 (8 months)

Contributed to migrating legacy monolithic services into modular, containerized backend microservices, reducing latency and decoupling critical operational workflows. Designed and maintained REST APIs, tuned MySQL indexes, and implemented background task scheduling with Celery.

Python Django Flask Celery MySQL Docker AWS ECS Git CI CD REST APIs Microservices

Backend / Full Stack Developer

Jivus AI

Dec 2024 - Mar 2025 (3 months)

Built backend microservices and REST APIs for conversational AI workloads, focusing on cost efficiency. Integrated Redis caching and distributed session stores, and developed client interfaces and admin dashboards in Next.js.

Python fastAPI Next.js Redis MongoDB Docker Azure WebSockets REST APIs Microservices

Software Engineer

ConSecure Technologies Pvt. Ltd.

Apr 2024 - Jul 2024 (3 months)

Developed low-latency backend microservices in Rust (Axum) and FastAPI for client vulnerability scanning and security metric evaluation. Implemented Redis-based rate limiting, session storage, and caching on high-traffic endpoints.