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Arpit SaxenaAS
Open to opportunities

Arpit Saxena

@arpitsaxena1

AI and automation engineer building LLM-powered agents and backend systems.

India
Message

What I'm looking for

I seek roles building production AI systems—LLM agents, voice/automation platforms—with emphasis on scalable backends, security, and collaborative Agile teams.

I am an AI and automation enthusiast with hands-on experience in Generative AI, NLP, agentic AI, and Python-based backend automation. I design and build LLM-powered virtual agents, automation workflows, and multi-agent systems that solve real-world problems.

My work includes building production-ready RAG pipelines, real-time voice agent platforms, and scalable backend services using FastAPI, Supabase, and modern web stacks. I focus on performance, security, and reliable multi-tenant architectures.

I have completed internships and intensive training—developing autonomous AI agents, deploying machine learning models, and learning AWS core services. I collaborate in Agile teams and apply strong prompt engineering, conversational AI, and API-integration skills to deliver results.

I bring practical project experience (voice agent platforms, backend automation, and web applications) and a commitment to building robust, scalable AI solutions that improve automation and user experience.

Experience

Work history, roles, and key accomplishments

NO
Current

AI Voice Platform Developer

Noxora

Feb 2026 - Present (1 month)

Built a real-time AI voice assistant platform using Next.js, Supabase, LiveKit, Deepgram, Groq, and ElevenLabs with a production RAG pipeline and multi-tenant secure architecture.

HT

Trainee Software Engineer

Hestabit Technologies

Nov 2025 - Jan 2026 (2 months)

Developed LLM-powered automation pipelines and autonomous AI agents using Python, AutoGen, Groq, and open-source LLMs; built FastAPI backend services and integrated REST APIs to support AI-driven automation workflows.

EF

AI Intern

Edunet Foundation

Jan 2025 - Feb 2025 (1 month)

Designed and trained a CNN-based image classification model for plastic waste segregation achieving 98% accuracy and deployed the model via a web interface for real-time prediction.

Education

Degrees, certifications, and relevant coursework

GLA University logoGU

GLA University

Bachelor of Technology, Computer Science and Engineering

Grade: 8/10 CPI (current)

Pursuing a Bachelor of Technology in Computer Science and Engineering with a current CPI of 8/10.

SJ

SJBSVM

Intermediate, Intermediate (Senior Secondary)

Grade: 77%

Completed Intermediate (senior secondary) with a score of 77% in 2022.

SJ

SJBSVM

High School Diploma, High School

Grade: 92%

Completed High School with a score of 92% in 2020.

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