---
title: "Vivek B - Full Stack Engineer in Shivamogga | Tal"
description: "Meet Vivek B, Full Stack Developer @ Dimaag AI | React · TypeScript · FastAPI · Python · AWS | Building real-time AI & agentic systems (RAG, MCP, LangGraph) based in Shivamogga. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/vivek-b-1/share-image"
---

# Vivek B on Tal

## Headline

Full Stack Developer @ Dimaag AI \| React · TypeScript · FastAPI · Python · AWS \| Building real\-time AI & agentic systems \(RAG, MCP, LangGraph\)

## About

Full Stack Developer with \~4 years building scalable, real\-time products end to end\. At Dimaag AI I ship across the stack — React/TypeScript on the front, FastAPI/Python, PostgreSQL, and Redis on the back — with a focus on real\-time data systems \(WebRTC, SSE\), AI\-integrated backends \(RAG, MCP, LangChain/LangGraph\), and high\-performance frontend architecture\. Recent work I'm proud of: \- A live video inference pipeline synchronizing model outputs with WebRTC streams — cutting insight delivery from hours to seconds\. \- A schema\-driven, configurable onboarding system that dropped client onboarding from months to 2–3 days\. \- An automated AI code\-review service \(GitHub CLI \+ Claude\) monitoring 6 repos, turning review turnaround from a full day into instant feedback\. \- A 25–30 component internal UI library \(shadcn/ui, Radix, Tailwind\) standardizing frontend work across the team\. I like turning messy, data\-heavy problems into clean, fast, production systems\. Previously moved from frontend\-only React into full\-stack, and before tech I trained as a civil engineer and designer — so I bring a builder's eye to how things fit together\. Open to SDE\-2 / mid\-level full\-stack and agentic\-AI roles\.

## Location

Shivamogga

## AI stack

anthropic apis

claude code

claude

gemini

langchain

mcp

## Work experience

Full Stack Engineer at DIMAAG\-AI, Jan 2023 \- Present · 3 yrs 10 mos, Bengaluru, \- Redesigned the results dashboard into a schema\-driven, configurable system supporting multiple AI workflows — reducing client onboarding from months to 2–3 days and contributing to closing 2 enterprise clients\. \- Engineered the company's first live video inference pipeline, synchronizing model outputs with WebRTC streams in real time — cutting insight delivery from hours to seconds\. \- Architected message\-driven distributed systems using AWS SQS/SNS for scalable microservice communication and real\-time AI processing\. \- Implemented backend\-to\-frontend SSE streaming with incremental payload delivery, enabling smooth rendering of 1–2M time\-series data points via uPlot virtualization\. \- Built an automated AI code\-review service \(GitHub CLI \+ Claude\) monitoring 6 repos, cutting review turnaround from a full day to instant feedback\. \- Built and maintained a 25–30 component internal UI library \(shadcn/ui, Radix UI, Tailwind\), standardizing frontend development across a 4\-developer team\. \- Prototyped an Observability MCP server unifying the observability stack \(SigNoz, Prometheus\), enabling trace/span\-ID\-based root\-cause lookups across logs, metrics, and traces to speed up debugging of failed API calls\.

3D Designer at Nolte India, Mar 2021 \- Mar 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India

## Education

civil engineering, Jawaharlal Nehru national college of engineering

## Public links

- github: https://github\.com/vivek4012

[View the original profile](https://tal.club/meet/vivek-b-1)

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