Arpit Saxena
@arpitsaxena1
AI and automation engineer building LLM-powered agents and backend systems.
What I'm looking for
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
Backend Engineer
NEXUS AI
Jan 2026 - Present (5 months)
Built modular FastAPI backend services for an automation platform implementing asynchronous task execution and API-driven workflows focused on scalability and reliability.
Full Stack Developer
AgentOps
Jul 2025 - Present (11 months)
Developed a scalable web application using React, Node.js, Express, and PostgreSQL; optimized frontend and APIs to achieve a 99% performance score and implemented secure plan-based authentication.
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.
Student
Amazon ML Summer School
Aug 2025 - Aug 2025 (0 months)
Completed an intensive 8-module program covering ML, Deep Learning, NLP, Generative AI, Reinforcement Learning, and Causal Inference with practical model evaluation and system design assignments.
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
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.
SJBSVM
Intermediate, Intermediate (Senior Secondary)
Grade: 77%
Completed Intermediate (senior secondary) with a score of 77% in 2022.
SJBSVM
High School Diploma, High School
Grade: 92%
Completed High School with a score of 92% in 2020.
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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