Aryveer Srivastav
@aryveersrivastav
AI Automation & Workflow Engineer building low-latency LLM-integrated operational workflows.
What I'm looking for
I’m an AI Automation & Workflow Engineer focused on scalable AI infrastructure, low-latency automation systems, and LLM-integrated operational workflows. I specialize in autonomous AI pipelines that improve execution speed, operational reliability, workflow scalability, and measurable business efficiency.
Since Jan 2025, I’ve architected and deployed 10+ production-grade AI automation infrastructures integrating LLM orchestration, APIs, webhooks, JSON pipelines, and autonomous AI agents. I built workflows that process 300+ inbound leads weekly, cutting response latency from 4+ hours to under 5 seconds, and I engineered LLM-orchestrated outreach delivering 5,000+ personalized touchpoints weekly with a 3x engagement lift.
I also drive reliability through structured prompt engineering—creating 30+ JSON prompt architectures that reduced hallucination frequency by 35% and decreased formatting failures by 40%. Beyond LLM workflows, I automate repetitive business operations using APIs, n8n, Zapier, AI agents, and backend orchestration systems, eliminating 15–20 hours of manual work weekly while enabling operations to complete in under 30 minutes instead of 4–5 hours.
Experience
Work history, roles, and key accomplishments
AI Automation & Workflow Engineer
Independent
Jan 2025 - Present (1 year 4 months)
Architected and deployed 10+ production-grade AI automation infrastructures using LLM orchestration, APIs, webhooks, and autonomous AI agents. Built lead qualification and outreach workflows that processed 300+ leads weekly, reduced response latency from 4+ hours to under 5 seconds, and generated 5,000+ personalized touchpoints weekly.
AI Automation Intern
Clinchstack Solutions
Feb 2026 - Mar 2026 (1 month)
Architected enterprise-grade AI workflow automation pipelines with LangChain and backend orchestration systems to support low-latency, high-availability automation. Standardized modular prompt architectures and execution frameworks to enable scalable AI integrations across backend systems.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science in Computer Science, Computer Science
Currently pursuing a Bachelor of Science in Computer Science at University of the People.
Availability
Location
Authorized to work in
Portfolio
aryveer-portfolio-beryl.vercel.appJob categories
Skills
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