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I’m an AI undergraduate who builds production-ready AI automation systems using Python—ranging from CRM workflows and voice AI agents to multi-LLM pipelines and RAG/vector-search applications. I focus on shipping reliable systems that measurably reduce manual work and improve lead engagement. Currently, I’m building multi-agent AI systems with LangGraph at an early-stage startup, and previously I scaled CRM automation for thousands of leads using ElevenLabs voice agents with FastAPI-backed workflows and robust monitoring/error handling.…I’m an AI undergraduate who builds production-ready AI automation systems using Python—ranging from CRM workflows and voice AI agents to multi-LLM pipelines and RAG/vector-search applications. I focus on shipping reliable systems that measurably reduce manual work and improve lead engagement. Currently, I’m building multi-agent AI systems with LangGraph at an early-stage startup, and previously I scaled CRM automation for thousands of leads using ElevenLabs voice agents with FastAPI-backed workflows and robust monitoring/error handling.

Saransh Gupta

AI Engineer, AI Developer, AI Prompt Engineer, +2

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I’m an AI undergraduate who builds production-ready AI automation systems using Python—ranging from CRM workflows and voice AI agents to multi-LLM pipelines and RAG/vector-search applications. I focus on shipping reliable systems that measurably reduce manual work and improve lead engagement. Currently, I’m building multi-agent AI systems with LangGraph at an early-stage startup, and previously I scaled CRM automation for thousands of leads using ElevenLabs voice agents with FastAPI-backed workflows and robust monitoring/error handling.…I’m an AI undergraduate who builds production-ready AI automation systems using Python—ranging from CRM workflows and voice AI agents to multi-LLM pipelines and RAG/vector-search applications. I focus on shipping reliable systems that measurably reduce manual work and improve lead engagement. Currently, I’m building multi-agent AI systems with LangGraph at an early-stage startup, and previously I scaled CRM automation for thousands of leads using ElevenLabs voice agents with FastAPI-backed workflows and robust monitoring/error handling.

Available to hire

I’m an AI undergraduate who builds production-ready AI automation systems using Python—ranging from CRM workflows and voice AI agents to multi-LLM pipelines and RAG/vector-search applications. I focus on shipping reliable systems that measurably reduce manual work and improve lead engagement.

Currently, I’m building multi-agent AI systems with LangGraph at an early-stage startup, and previously I scaled CRM automation for thousands of leads using ElevenLabs voice agents with FastAPI-backed workflows and robust monitoring/error handling.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Founding Engineer Intern at HypeOn AI Inc.

June 1, 2026 - Present

Design and develop multi-agent AI systems using LangGraph and Python. Build and integrate data pipelines for ad intelligence and attribution analytics products. Develop and maintain backend APIs using FastAPI to support agentic AI product features. Implement vector search and embedding pipelines using CLIP-based models with Pinecone for cross-device identity resolution. Contribute to full-stack development across HypeOn Intelligence and HypeOn Analytics platforms, collaborating with the founding team on system architecture.

AI Automation Intern at ScalePods

January 1, 2026 - April 30, 2026

Built and scaled CRM automation workflows handling 7,000+ leads, achieving an 8% reply rate across voice call and WhatsApp outreach. Designed and deployed AI-powered voice call agents using ElevenLabs to automate hundreds of customer calls for lead engagement. Integrated ElevenLabs and Supabase via REST APIs and webhooks for real-time data sync and workflow persistence. Deployed and hosted automation systems with Docker on AWS EC2 for production reliability. Worked in a 3-person team to design, test, and optimize end-to-end automation pipelines with monitoring, logging, retry logic, and error handling.