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Kunal-Darekar/README.md

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The short version

I build backend systems that handle real traffic — REST APIs, WebSocket layers, and the deployment pipelines that keep them running.

Currently working at TEIM Pune on Java-based REST services in a Kubernetes/OpenShift environment. Before that I shipped a full platform at Quikkonnect — 25+ APIs, JWT/RBAC auth, WebSocket notifications, 40% query improvement.

My open-source contribution to Activepieces (20.9k ⭐) is live in production — a complete SmartSuite integration that passed maintainer review.



📡 Right Now

const status = {
  working:     "REST services + CI/CD in Kubernetes/OpenShift @ TEIM Pune",
  sharpening:  "System Design · DSA · Advanced Node.js patterns",
  next:        "Backend / Full-Stack engineering role — open to Pune, remote",
  outside:     "Solving LeetCode at odd hours & breaking my own APIs",
};

🌍 Open Source

Activepieces — 20.9k ⭐ production workflow automation platform

I built the full SmartSuite integration from scratch:

  • 2 real-time webhook triggers with lifecycle management
  • 6 actions — records, tables, fields, solutions
  • Dynamic property loading from SmartSuite's API at runtime
  • API key auth layer + fault-tolerant error handling
  • Edge case coverage: missing fields, permission errors, invalid types

PR reviewed by core maintainers, merged first cycle, deployed to production.

PR Badge

TypeScript · Node.js · Webhooks · REST

Production code. Real review. Ships in live workflows.


🛠 Tech Stack

Layer Technologies
Languages JS TS Java Python SQL
Backend Node.js Express REST WS JWT
Frontend React Redux Tailwind
Databases MongoDB PostgreSQL Redis MySQL
DevOps Docker GHA K8s Nginx AWS Linux

🔨 Projects

AI-Enhanced Real-Time Chat System  ·  Node.js MongoDB WebSockets Redis React

→ View Repository

What it does: Real-time messaging with AI-powered content moderation, built to handle load.

Metric Result
Concurrent users 200+ at sub-150ms latency
DB load reduction 45% via Redis caching layer
Frontend performance 95+ Lighthouse score
  • WebSocket server handling concurrent connections with room-based architecture
  • NLP sentiment analysis pipeline (NLTK + TF-IDF) for content moderation
  • REST APIs for chat history, user management, and analytics
  • Performance tested under load to identify and fix bottlenecks
E-Commerce Platform — Ganraj Cake & Pastries  ·  SpringBoot PostgreSQL Razorpay React

What it does: Full-stack e-commerce with payment processing, inventory, and order workflows.

  • 30+ REST APIs with aggregation pipelines over 50,000+ records
  • Razorpay payment gateway with HMAC signature verification
  • Auth, inventory management, order lifecycle, and admin dashboard
  • Input sanitization, normalized schema design, MVC architecture throughout
QuickKonnect Platform  ·  Node.js PostgreSQL WebSockets JWT React  ·  @ Quikkonnect Internship
  • 25+ REST APIs with JWT auth, RBAC, and input validation
  • Query optimization via indexing → 40% response time improvement
  • Real-time WebSocket notification system
  • Unit and system tests across core API paths

📊 GitHub Stats

 

⚡ Highlights

🌍 Open Source Merged PR in Activepieces (20.9k ⭐) — live in production
🏆 Competition Winner — Coding World Cup (Coding Ninjas)
🧩 Competitive Programming 300+ LeetCode problems solved
🎓 Scholarship Nurturing Brilliance Scholar — Cummins India (Top 1% nationwide)

🏅 Trophies


🗺 Activity


Open to backend, full-stack, and DevOps-aware engineering roles  ·  kunaldarekar99@gmail.com

Pinned Loading

  1. AI-Enhanced-Chat-Application AI-Enhanced-Chat-Application Public

    create a chat bot by using file handing , there is option to create separate room for each user having it login details , this project are build by using the python language .

    Python

  2. mindspark-flow-builder-main mindspark-flow-builder-main Public

    TypeScript