SYSTEM_ONLINE · Darbhanga, IN · UTC+5:30

Full-stack engineer building AI-native systems for the web.

I'm Mukesh Kumar Thakur — shipping high-scale product surface at Richpanel. I design architecture, wrangle data pipelines, and make interfaces feel lightweight — recently cutting a front-end from 2 GB → 400 MB.

01 / About

Engineer by craft. Architect by instinct.

I care about the seam between infrastructure and interface — where performance meets polish. Over the last two years I've designed AI enrichment pipelines, rebuilt memory-leaking dashboards, and shaped the architecture for whole product modules from first commit to production.

Outside of shipping at Richpanel I'm building an MCP marketplace — a natural-language control layer over Gmail, Calendar, Tasks, and Slack.

02 / Experience

Where I've shipped lately.

Full Stack Developer

Richpanel Sep 2023 — Present
  • −80% memory footprint. Reduced front-end consumption from 2 GB+ to 400 MB.
  • Real-time AI enrichment pipeline labelling every customer–agent conversation with intent & sentiment.
  • Gmail → Richpanel sync pipeline — scale-agnostic ingestion of any mailbox into Richpanel as tickets; backfill + live stream, deduped and threaded.
  • Returns platform — end-to-end architecture with automated label generation and workflow orchestration.
  • Owned multi-module system design across Nest.js, Vue.js, MongoDB, DynamoDB, PostgreSQL, and Neo4j.
Nest.jsVue.jsMongoDB DynamoDBPostgreSQLNeo4j AWS

B.E. · Computer Science & Engineering

Chandigarh University, Punjab Graduated 2024 · 8.09 / 10
  • Amazon ML Summer School — one-month nationally-selected program, June 2022.
  • NASA Space Apps Global Nominee — 24-hr hackathon building a game around the seven Nimbus satellites.
DSAOOPSystem DesignC++
03 / Stack

The tools I reach for without thinking.

Languages

  • JavaScript
  • TypeScript
  • C++
  • SQL

Frameworks

  • Nest.js
  • Express.js
  • Vue.js
  • React.js

Databases

  • MongoDB
  • PostgreSQL
  • DynamoDB
  • Neo4j

Cloud & Infra

  • AWS Lambda
  • SQS
  • CloudWatch
  • Elasticsearch

APIs

  • REST
  • GraphQL
  • MCP servers
  • WebSockets

Foundations

  • System Design
  • Data Structures
  • OOP
  • Algorithms
04 / Selected Work

Things I've built & what I learned.

/ai-assistant 2025

AI Personal Assistant

MCP marketplace + chatbot that speaks natural language to Gmail, Google Calendar, Tasks, and Slack. Multiple MCP servers, secure auth, automated workflows.

MCPLLMNode.jsOAuth
/gmail-sync Richpanel

Gmail → Richpanel Sync Pipeline

Scale-agnostic sync that ingests every message from any Gmail mailbox into Richpanel as a ticket — backfills decade-old inboxes and streams new mail in real time, fully deduped and threaded. Mailbox size is no longer a ceiling.

Gmail APIPub/SubNest.js QueueIdempotency
/ai-enrichment Richpanel

Real-time AI Enrichment Pipeline

Streams every customer–agent conversation, classifies intent & sentiment, writes back to the product surface in near-real-time.

Nest.jsKafka-likeLLMNeo4j
/returns Richpanel

Returns Management Platform

End-to-end returns orchestration with automatic label generation, workflow engine, and full operator tooling — shipped from first commit.

Vue.jsPostgreSQLWorkflowSQS
/perf-surgery Richpanel

Front-end Memory Surgery

Hunted leaks across long-lived dashboards — from event listeners to zombie observers — and cut memory by ~80%.

Vue.jsDevToolsProfiling
05 / Signals

Academic & community proof-of-work.

06 / Contact

Let's build something ambitious.

I'm open to senior IC roles, freelance collabs, and any problem where AI meets product. Reply usually under 24 hours.