
What we’re about
Better late than never - Ride the AI ,Data Science , Machine Learning revolution wave
As a developer, are you excited about Artificial Intelligence / Machine Learning?
We have an exciting opportunity for you! Join meetup to listen from leading industry experts& renowned researchers to explore technologies shaping the future.
SKILLS ***********************************************
Python , R , Julia , SAS , F# ,
C++ ,SQL , Scala , Java , MAT LAB
Big Data , Hadoop ,Hive , Pig ,Spark
Clojure, Lisp
***************************************************ENDLESS
Idea for talk?
Technical talk with implementation details about Language UseCases or related development exercise from speakers comfortable handling hands on with Q&A.
We're always on the search for new meetups!
starting a tech or startup methodology focused meetup, drop us a line at info@jvtechnologies.co.in
and a Community Manager will be in touch shortly.
Upcoming events (4+)
See all- 🚀 Building a Scalable AppLink visible for attendees
### Live Demo: From 0 to 1 Million Users – Backend to Frontend, Infra to Scale!
***
👩💻 Ever wondered how companies like Zomato, Meesho, and Flipkart go from a simple app to handling millions of users per day?
Now it’s your turn to learn the exact tech lifecycle — LIVE, HANDS-ON, and START to SCALE!***
### 🌟 What You’ll Experience LIVE
📱 Frontend Setup
- Modern stack: React + Tailwind + Hooks
- Component Design for Reusability & Performance
- Connecting APIs & Managing State
⚙️ Backend Engine
- FastAPI / Node.js / Golang architecture
- REST vs GraphQL – Design decision walkthrough
- JWT Auth, Rate Limiting, Validation, Error Handling
📡 API Gateway & Microservices
- How to scale with modular services
- Real-world routing patterns
- Load balancing & versioning APIs
💾 Database Layer
- SQL vs NoSQL vs Distributed DBs
- Schema Design for performance
- Indexing, Caching (Redis), and DB Optimization
🔄 CI/CD & DevOps
- GitHub → Docker → Kubernetes
- Real pipeline: Auto-deploy after code push
- Infra as Code with Terraform
- Observability with Prometheus + Grafana
🌍 Global Scalability & Performance
- Handling 1M concurrent users
- CDN (Cloudflare), Caching Layers
- Auto-scaling & High Availability Strategy
***
### 🎁 Bonus Perks for Attendees
✅ Get full GitHub codebase after event
✅ Free “Build to Scale” cheat sheet (PDF)
✅ Join live whiteboarding of entire architecture
✅ Certificate + Top 10 contributors get LinkedIn shoutout
✅ Mock system design feedback for selected participants***
### 🧠 Who Should Join?
- 0–2 yrs devs: Learn how pro systems are built end-to-end
- 2–4 yrs: Upgrade your project + DevOps knowledge
- 4–8 yrs: Get clarity on architecture & scale planning
- Anyone building real-world apps who dreams of startup-grade performance
***
### Join Zoom Meeting
https://us02web.zoom.us/j/81649267431?pwd=fO0iVgKD7QjYkMt0cbaCEPZpXX8d3U.1
Meeting ID: 816 4926 7431
Passcode: 201437 - 🔧 Embedded Linux Pro: Elevate Your Embedded Systems Mastery – Series 1Link visible for attendees
### 1. Coding Challenge: Implementing a Ring Buffer for UART Communication (25 mins)
Objective: Design a lock-free ring buffer in C/C++ for UART data transmission and reception.
Key Concepts:- Interrupt-driven programming
- Circular buffer management
- Memory safety and performance optimization
Discussion Points:
- Avoiding data corruption in ISRs
- Buffer overflow/underflow handling
- Lock-free vs mutex-based buffer access
***
### 2. Face-to-Face Debugging Simulation: Memory Corruption in Embedded Systems (25 mins)
Scenario: A memory corruption issue crashes a sensor driver after several hours of uptime.
Tasks:- Analyze code to find stack overflows or buffer overruns
- Use tools like Valgrind or GDB to reproduce and debug
Key Concepts:
- Stack vs heap memory in embedded systems
- GDB backtracing, watchpoints, and memory inspection
- Defensive coding practices
***
### 3. System Design Session: Real-Time Data Logger on Embedded Linux (35 mins)
Objective: Design a real-time logging system that collects sensor data and writes to SD card or flash reliably.
Discussion Points:- File I/O and flash memory wear-leveling
- Real-time constraints and thread prioritization
- Data integrity and journaling mechanisms
Key Concepts:
- `pthread`, `mmap`, direct I/O
- Real-time scheduling (SCHED_FIFO)
- Handling power failures and ensuring data safety
***
### 4. Real-World Product Issue: Recovering from Kernel Panic or Watchdog Timeout (25 mins)
Scenario: A field-deployed embedded device reboots frequently due to unknown kernel panics.
Tasks:- Enable kernel crash dumps and analyze logs
- Implement watchdog-based recovery mechanism
Key Concepts:
- Kernel panic handling and `kexec`
- Watchdog timers (hardware/software)
- System reliability and boot-time diagnostics
***
### 5. Q&A and Embedded Roundtable (30 mins)
Open forum:
- Bring your toughest bugs and real-world embedded Linux challenges
- Discuss build systems (Yocto, Buildroot), device trees, or bootloaders (U-Boot)
- Interview insights for firmware and embedded software roles
Join Zoom Meeting
https://us02web.zoom.us/j/81172059640?pwd=aBKWYb924zWEpy5Z038Uevp8sQGjKa.1
Meeting ID: 811 7205 9640
Passcode: 051209 - Series2 -Inside the Database Engine: MySQL, PostgreSQL & MongoDB – ArchitectureLink visible for attendees
From Theory to Source Code: Internals That Drive Your Database”
🧠 Explore, Decode & Rebuild Core Database Engines Like the Pros📅 Date: Aug 3th, 2025
⏰ Time: 6:30 PM – 9:30 PM IST
Join Zoom Meetinghttps://us02web.zoom.us/j/89315077599?pwd=z3aaToAj7pixB9eijIZ2rThmQ1bhZY.1
Meeting ID: 893 1507 7599
Passcode: 131654📍 Live + Recorded + Labs Access
🎥 Hosted by: Coderrange YouTube + GitHub + Telegram Group***
### 🧬 What Makes Series 2 Different?
✅ We show the internal source code from the official GitHub repos of MySQL, PostgreSQL, and MongoDB
✅ Live debugging and instrumentation walkthroughs
✅ You run labs locally, inspect logs, retry events, and simulate failure
✅ We help you trace real crash recovery, log replay, and buffer pool internals🔧 Dive into Real Source Code • Crash Recovery • Retry Logic • Live Demos
| 🕕 Time | 💡 Session |
| ------- | ---------- |
| 6:30 PM | Kickoff + Setup Labs |
| Get access to GitHub repos, tools, data dumps, and retry labs. | |
| | |
| 6:45 PM | MySQL Recovery Internals |
| Analyze InnoDB crash recovery code (`log0recv.cc`), simulate redo logs, binlog replay, and fail recovery. | |
| | |
| 7:15 PM | PostgreSQL WAL + Vacuum Deep Dive |
| Trace WAL flush, replay, and vacuum cycles from the `xlog.c` source. Live demo of planner + stats tools. | |
| | |
| 8:00 PM | MongoDB Replication & Failover |
| Walk through Oplog, elections, failover logs, and aggregation engine from MongoDB core files. | |
| | |
| 8:40 PM | Retry Mechanisms in Action |
| Compare how MySQL (`force_recovery`), Postgres (WAL timelines), and MongoDB (retryable writes) recover. | |
| | |
| 9:00 PM | Live Panel: Building Resilient DB Systems |
| Lessons from Netflix/Uber/Google. DB selection tips for scale, resilience, and observability. | |
| | |
| 9:30 PM | Wrap-Up + GitHub Drop + Telegram Group Access |***
- ⚛️ ReactJS Pro: Elevate Your Frontend Engineering Mastery – Series 1Link visible for attendees
### 1. Coding Challenge: Build a Dynamic Form with Validation & Reusability (25 mins)
Objective: Implement a dynamic form component in React that accepts JSON schema and renders inputs with built-in validation.
Key Concepts:- Controlled components and form state
- Reusable components with props and context
- Validation (custom + libraries like Yup)
Discussion Points:
- Schema-driven UI design
- Managing deeply nested form data
- Performance with large forms (memoization, virtualization)
***
### 2. Debugging Simulation: Resolving React Memory Leaks (25 mins)
Scenario: A React dashboard gradually slows down and crashes after prolonged use.
Tasks:- Identify and fix memory leaks from event listeners, intervals, or subscriptions
- Apply cleanup with `useEffect` and test with Chrome DevTools
Key Concepts:
- React lifecycle (`useEffect`, cleanup, unmount)
- Debugging with React DevTools + Profiler
- Preventing zombie subscriptions and stale state
***
### 3. System Design Session: Designing a Component Library for an Enterprise App (35 mins)
Objective: Architect a scalable and themeable component library with Storybook integration.
Discussion Points:- Atomic design principles
- Style systems (Tailwind vs Styled Components)
- Component composition and accessibility
Key Concepts:
- `React.forwardRef`, `useImperativeHandle`
- Design tokens and theme context
- Publishing as NPM package
***
### 4. Real-World Product Issue: Handling Global Error Boundaries & Logging (25 mins)
Scenario: In production, certain user flows result in blank screens with no feedback.
Tasks:- Implement a global error boundary that logs to an external service
- Display fallback UIs with user-friendly messaging
Key Concepts:
- `componentDidCatch` vs `useErrorBoundary`
- Integration with Sentry, LogRocket, or custom loggers
- Ensuring observability in SPAs
***
### 5. Q&A and React Roundtable (30 mins)
Open forum:
- Discuss real-world challenges like hydration errors, performance bottlenecks, or state explosion
- Interview insights for React engineers (2–6 YOE)
- Live review of participant projects or portfolio advice
***
> ✅ Bonus Add-on for Recruiter/Team Use:
> Series 2 – "ReactJS Pro Advanced":- React + GraphQL integration
- State machine with XState
- Lazy loading, code splitting, SSR & hydration
- Testing React apps with Cypress + Jest
Join Zoom Meeting
https://us02web.zoom.us/j/82509450624?pwd=kFu5LRz4qbDgNlmRH6bFQgmmX7jMMZ.1
Meeting ID: 825 0945 0624
Passcode: 130608