Anup chaurasiya

AI Engineer

Noida, India 1+ yrs exp 84 · Excellent

About

AI Engineer with 2 years of experience, shipped a production AI interview/voice-AI system that cut pipeline latency by 70% and recruiter effort by 75%; built citation-backed RAG and independently launched an AI career SaaS serving 10+ users.

Skills & Expertise (39)

Python Advanced

8.0/10

Years Exp

Node.js Advanced

7.5/10

Years Exp

React Advanced

7.5/10

Years Exp

JavaScript Advanced

7.5/10

Years Exp

Typescript Advanced

7.5/10

Years Exp

Git Advanced

7.0/10

Years Exp

GraphQL Intermediate

6.5/10

Years Exp

FastAPI Intermediate

6.5/10

Years Exp

Django Intermediate

6.5/10

Years Exp

Kubernetes Intermediate

6.0/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

AWS Intermediate

6.0/10

Years Exp

Tailwind CSS Qdrant PGvector Postgresql Redis Celery REST APIs GitHub Actions Next.js REMIX RAG Express.js TTS Stt WebSockets WebRTC LiveKit OOP C++ SQL MCP Prompt Engineering Langsmith LangGraph LangChain Vector Search FAISS

Work Experience

Software Engineer

Krut AI

May 2025 - Present

Built an end-to-end real-time AI voice interviewer using LiveKit, WebRTC, and the OpenAI Realtime API, enabling candidates to speak naturally through live speech recognition, contextual response generation, and streamed voice output. Engineered natural conversational turn-taking using Voice Activity Detection, silence detection, transcript buffering, and interruption handling to prevent the AI from talking over candidates or duplicating responses. Built a backend-controlled interview orchestration engine that tracks question order and answer/skip/clarify states, generating relevant follow-ups without losing conversational context. Delivered a fault-tolerant voice/telephony backend (async WebSockets, Plivo streaming, Redis concurrency control, backoff reconnection) and async Celery/Redis pipelines handling 100+ concurrent AI jobs, cutting pipeline latency by 70% and no-shows by 40% across 95+ merged PRs. Built LLM-driven automated candidate evaluation with real-time object detection for proctoring, reducing manual recruiter effort by 75% and cutting time-to-shortlist from days to hours.

Software Engineer Intern

Upsellity AI

Jan 2025 - May 2025

Built Node.js backend services for an upsell/cross-sell application, including a configurable discount engine supporting product-level, cart-level, and conditional promotion rules. Integrated GraphQL APIs to sync product, discount, and order data in real time between the backend and merchant storefronts. Built the merchant dashboard (React, TypeScript, Remix) and supporting APIs so merchants could launch campaigns, run A/B tests, and track results without developer help.