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shiv1sh

Shivansh C

@shiv1sh

Voice AI Agent Developer, ElevenLabs, n8n, RAG Systems

Inde
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I build production-grade AI systems for businesses automating voice, documents, and workflows. Specialties: → Voice AI Agents (ElevenLabs + Twilio) for clinics & service businesses → RAG Chatbots on business documents (Pinecone, pgvector, FastAPI) → n8n Workflow Automation with AI (CRM sync, lead routing, triggers) Built: multi-tenant voice dispatcher for 100s of orgs, RAG pipeline across 993 tenants, AI triage engine for IT companies. Only niche work — no generic dev projects.... Plus d’infos

Compétences

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shiv1sh
Shivansh C
hors ligne • 

Voir mes services

Intégrations IA
I will build an ai voice receptionist using elevenlabs and twilio
De175 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Self_Employed

Backend Developer - AI Integrations at IT By Design

Self Employed • Temps plein

Mar 2026 - Present • 4 mos

→ Built multi-tenant Voice AI Dispatcher using ElevenLabs + Twilio serving hundreds of organizations → Developed RAG pipeline across 993 tenants with Pinecone namespace isolation + pgvector → Built 11-step AI ticket triage engine integrating ConnectWise, HaloPSA, and Autotask APIs → Async microservices using FastAPI, Celery, RabbitMQ, PostgreSQL on AWS ECS

Software Engineer

MAQ Software • Temps plein

Sep 2024 - Present • 1 yr 10 mos

Developed a Generative and Conversational AI platform with 8 domain-specific chatbots leveraging Azure OpenAI via Promptflow, enabling lawyers to query organizational knowledge in real-time • Developed a deployed full stack Generative AI solution leveraging Azure Functions and Azure OpenAI to retrieve top-ranked documents based on user queries and generate intelligent summaries, implementing a Retrieval-Augmented Generation (RAG) architecture • Developed an AI-powered content processing pipeline using Azure OpenAI and CrewAI framework for scraping Microsoft Learn documentation, performs semantic chunking of educational content, and creates structured learning modules with intelligent chapter organization • Developed and implemented follow-up features along with prompt optimization strategies, adhering to Responsible AI guidelines.