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producer › pipeline › consumer

Vishal Barot builds the
systems behind the screen.

Senior software engineer focused on backend services and agentic AI — Kafka pipelines, Spring Boot services, and LLM-powered tooling that actually ships inside a large enterprise.

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topic: now

Currently building

An autonomous options paper-trading agent — LangGraph for orchestration, Claude for decision-making, Telegram for human-in-the-loop approvals, and LangSmith for tracing. A live testbed for how far agent autonomy can safely go.

topic: experience

Work

Senior Software Engineer · Wells Fargo

~6 yrs in industry
  • Built a Kafka-driven backend service feeding an LLM document-review pipeline — event ingestion, model calls, and result handling at enterprise scale.
  • Drove large-scale AI-assisted SonarQube remediation, cutting code-quality debt across a major codebase.
  • Day-to-day stack: Java, Spring Boot, Kafka, OpenShift, with hands-on agentic-AI work (LangGraph, Ag2, MCP servers).

topic: projects

Projects

mcp-etf-holdings

Open-source MCP server exposing ETF holdings data to AI agents. Published to PyPI.

Python · MCP · PyPI

Inside Out

Multi-agent platform built on Ag2 — coordinated agents with distinct roles working a shared problem.

Ag2 · multi-agent

Stock analysis bot

LangGraph pipeline with Groq inference delivering market analysis through a Telegram interface.

LangGraph · Groq · Telegram

Options trading agent

Autonomous paper-trading agent with human-in-the-loop approvals and full trace observability.

LangGraph · Claude · LangSmith

topic: toolbox

Toolbox

Backend

Java · Spring Boot · Kafka · OpenShift · REST

Agentic AI

LangGraph · Ag2 · MCP · LangSmith · prompt & eval design

Also

Python · TDD with AI tooling · CI quality automation

topic: contact

Get in touch

Open to conversations about backend systems, agentic AI, and roles where the two meet.

vishalbarot@ymail.com github.com/vlearner linkedin.com/in/vishalhbarot