Varun Deep Gurram
Building agentic AI systems that take real‑world actions — from orchestration and RAG pipelines to product-ready web apps with measurable outcomes.
About
I design agentic AI systems with clear architecture — combining orchestration, retrieval, and tool usage into scalable, production-ready pipelines.
Architecture clarity
Multi-agent workflows with state management, tool design, and failure handling for real-world reliability.
Evaluation mindset
I focus on reliable outputs by adding evaluation, guardrails, and observability at every stage (including LangSmith).
End-to-end ownership
From problem definition to deployment, I own the full lifecycle and iterate based on measurable outcomes and business impact.
Featured Projects
Agentic systems built with orchestration, RAG, and production-grade tooling.
Agentic Commerce Intelligence System
FeaturedAutonomous AI system for product discovery, price tracking, and workflow automation using multi-agent orchestration — reducing manual monitoring and speeding up decision-making.
Agentic AI Care Coordination System
FeaturedAnalyzes EHR data, detects care gaps, and automates follow-ups using RAG and agent workflows — reducing manual review effort and improving response time.
Multi-Agent Travel Planner
FeaturedGenerates personalized itineraries using LLM agents, APIs, and retrieval systems — accelerating planning with consistent, structured outputs.
Medical RAG System
FeaturedDomain-specific RAG pipeline for healthcare insights using structured and unstructured data — improving answer quality with hybrid retrieval and re-ranking.
Autonomous AI Debugging Engineer
FeaturedReads codebases, detects bugs, and generates fixes using multi-agent collaboration and reflection loops — shortening debugging cycles and increasing fix accuracy.
AI Personal Operations Agent
FeaturedManages tasks, reminders, and workflows using memory, planning, and tool-based execution — saving time by automating repeatable routines.
AI Customer Support Agent
FeaturedConversational AI system that handles queries using context-aware retrieval and memory — improving first-response quality and deflecting repetitive tickets.
Skills
A practical toolkit for building, shipping, and managing AI products.
Backend & Auth
LLM / Agent Stack
Data & Retrieval
Product & Delivery
Business Growth & Agent Alignment
How I Build AI Systems
A repeatable approach that prioritizes architecture clarity, reliability, and real-world impact.
Architecture thinking
- Break down problems into agent workflows.
- Design multi-agent orchestration (planner, executor, validator).
- Manage state between agents for consistent, debuggable runs.
- Design tool usage for real-world actions.
RAG depth & reliability
- Integrate RAG pipelines with optimized retrieval (hybrid, re-rank, context strategy).
- Implement evaluation, guardrails, and observability (LangSmith).
- Handle failure modes with retries and safe fallbacks.
- Iterate based on real-world performance and metrics.
Experience Timeline
Roles where I shipped production systems and improved reliability, performance, and developer velocity.
Full Stack Agentic AI Engineer
Shopify • Dec 2023 – Present
- Designed multi-agent systems with stateful orchestration and failure handling for real-world reliability.
- Partnered with stakeholders to scope features, prioritize impact, and ship iterations with clear success metrics.
- Implemented multiple RAG strategies including hybrid retrieval, re-ranking, and context optimization.
- Improved reliability using evaluation pipelines, guardrails, and observability tools like LangSmith.
- Designed AI systems with measurable outcomes, focusing on usability, scalability, and business impact.
Python Full Stack Developer
Citi Bank • Dec 2019 – Jun 2022
- Built backend systems for financial workflows and integrated distributed services.
- Developed REST APIs and improved throughput using async processing and caching.
Education
Solid engineering foundation + focused computer engineering depth.
Master’s in Computer Engineering
University of North Texas (UNT)
Aug 2022 – May 2024
Bachelor’s in Electronics & Communication Engineering (ECE)
MVSR Engineering College
Aug 2018 – June 2022
Let's Connect
Ready to collaborate on the next big AI innovation? Let’s build something amazing together.
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© 2026 Varun Deep Gurram. Engineering the future with AI.