Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Backend and DevOps-focused software engineer with experience building and debugging real-time Voice AI pipelines. Worked on production incident resolution, improved turn detection and interruption handling, and integrated LLM components for more stable real-time conversations. Built scalable webhook/integration frameworks and real-time agent support workflows for multiple helpdesk providers. Strong in Node.js/TypeScript, databases (MongoDB/PostgreSQL/MySQL/Redis), and cloud deployments on AWS with Docker and CI/CD.…Backend and DevOps-focused software engineer with experience building and debugging real-time Voice AI pipelines. Worked on production incident resolution, improved turn detection and interruption handling, and integrated LLM components for more stable real-time conversations. Built scalable webhook/integration frameworks and real-time agent support workflows for multiple helpdesk providers. Strong in Node.js/TypeScript, databases (MongoDB/PostgreSQL/MySQL/Redis), and cloud deployments on AWS with Docker and CI/CD.

Amit Wala

Back-End Developer, Full Stack Developer, Web Developer, +4





Backend and DevOps-focused software engineer with experience building and debugging real-time Voice AI pipelines. Worked on production incident resolution, improved turn detection and interruption handling, and integrated LLM components for more stable real-time conversations. Built scalable webhook/integration frameworks and real-time agent support workflows for multiple helpdesk providers. Strong in Node.js/TypeScript, databases (MongoDB/PostgreSQL/MySQL/Redis), and cloud deployments on AWS with Docker and CI/CD.…Backend and DevOps-focused software engineer with experience building and debugging real-time Voice AI pipelines. Worked on production incident resolution, improved turn detection and interruption handling, and integrated LLM components for more stable real-time conversations. Built scalable webhook/integration frameworks and real-time agent support workflows for multiple helpdesk providers. Strong in Node.js/TypeScript, databases (MongoDB/PostgreSQL/MySQL/Redis), and cloud deployments on AWS with Docker and CI/CD.

Available to hire

Backend and DevOps-focused software engineer with experience building and debugging real-time Voice AI pipelines. Worked on production incident resolution, improved turn detection and interruption handling, and integrated LLM components for more stable real-time conversations.

Built scalable webhook/integration frameworks and real-time agent support workflows for multiple helpdesk providers. Strong in Node.js/TypeScript, databases (MongoDB/PostgreSQL/MySQL/Redis), and cloud deployments on AWS with Docker and CI/CD.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Fluent

Work Experience

SDE, Intern at Orato

May 1, 2026 - July 31, 2026

1. Diagnosed and resolved 9 production issues in real-time Voice AI pipelines (Silero VAD + Pipecat Smart Turn) powering Plivo/Twillo calls, fixing premature LLM responses, turn detection, and Interruption handling. 2. Built a universal webhook framework using Nango to support Gmail, WhatsApp, Slack, Zoho, and Zendesk, standardizing OAuth flows and webhook signature verification across integrations. 3. Designed and launched a real-time support ticket creation system for AI voice agents. Used an adapter pattern with a pluggable capability registry. This enables mid-call ticket raising across multiple helpdesk providers using REST APIs and RTK Query frontend layer. 4. Audited a stateless JWT authentication system. I ran over 40 documented QA user journeys covering login, OAuth, and session flows. I found more than 7 security risks. 5. Improved Voice AI reliability by replacing a cloud-based VAD with a local ONNX-based Silero VAD and fixing sentence truncation and Indian-English turn detection issues, resulting in more stable real-time conversations.