Hi, I'm Pratik 👋
Software Engineering student & Open Source Contributor. I love building Scalable Backend Systems, Cloud Infrastructure, and Production-grade Applications.
PJ

About

Backend Engineer and Open Source Contributor with hands-on experience in backend development, cloud infrastructure, and DevOps. I build end-to-end systems using Node.js, TypeScript, and AWS with a focus on scalable architecture, observability, and performance. Organization Member and Contributor at CNCF OpenTelemetry and Grafana, with experience deploying Kubernetes-based workloads and observability pipelines. Currently deepening my expertise in distributed systems and cloud - native development.

Skills

Node.js
TypeScript
JavaScript
Go
Python
Express.js
RESTful APIs
Digital Ocean
AWS (EC2, S3, Lambda, SQS, IAM)
Amazon Bedrock (Generative AI)
Kubernetes
Docker
Helm
Traefik
GitOps
CI/CD
OpenTelemetry
Prometheus
Loki
Grafana
PostgreSQL
MongoDB
Prisma ORM
SQL
C++
Kotlin
Firebase
Data Structures & Algorithms (DSA)

Tools

GitHub Actions
Git
Docker
ArgoCD
Postman
Linux
VS Code
Android Studio
My Projects

Check out my latest work

I've worked on a variety of projects, from Android to backend systems, cloud infrastructure, and Kubernetes deployments. Here are a few of my favorites.

I.R.I.S

I.R.I.S

Intelligent Rollback & Incident Supervisor (IRIS) is an AI-powered Kubernetes controller that automatically detects deployment failures, performs intelligent root cause analysis, and triggers instant rollbacks via ArgoCD, before your users notice anything went wrong. Instead of engineers scrambling through logs, IRIS handles the entire incident lifecycle autonomously, combining real-time monitoring with AI-driven analysis to close the gap between failure and recovery in seconds.

Go
Kubernetes-Controller
OpenTelemetry
Loki
Prometheus
Grafana
Groq API
ArgoCD
GitOps
Note: Core features are functional, but the project is still under active development.
ReceiptSnap

ReceiptSnap

ReceiptSnap is a smart receipt scanning and processing app that automates document capture using OCR and a cloud-native backend. It features an event-driven architecture with an async AWS Lambda + SQS pipeline, a Kubernetes-deployed Node.js backend with autoscaling, secure file storage on AWS S3, metadata management with PostgreSQL, and full observability via OpenTelemetry, Prometheus, and Grafana.

Node.js
TypeScript
Kotlin
PostgreSQL
AWS S3
AWS Lambda
AWS SQS
AWS EC2
Docker
Kubernetes
DigitalOcean
Helm
Traefik
OpenTelemetry
Prometheus
Grafana
Prisma ORM
GitHub Actions
OpalWish

OpalWish

OpalWish is a full-stack Android e-commerce application that offers a seamless shopping experience. Users can browse a variety of products, view discounts, and make secure purchases. The app integrates with Firebase for real-time data and user authentication, while also leveraging Room for local storage and Razorpay for payments.

Kotlin
Firebase Realtime Database
Room Database
Razorpay API
Retrofit
MVVM Architecture
Firebase Authentication
SecureGossips

SecureGossips

SecureGossips is a messaging app with regular and secure chat rooms, using AES-128 encryption with custom key generation for private communication. Each chat room has a unique encryption session. Firebase Authentication ensures secure logins, and Firebase Realtime Database syncs messages in real-time, prioritizing privacy and ease of use.

Kotlin
Firebase Authentication
AES-128 Encryption
Material Design
Firebase Realtime Database
Glide
Coroutines
Side Ventures

I like building things

Currently in university, I'm actively working on various projects, both personal and ongoing. Each build helps me sharpen my skills and stay passionate about creating tech solutions that make an impact.

  • A

    AI-Powered Linux CLI

    An AI-powered CLI tool that generates and executes Linux shell commands using Google Gemini AI. The tool helps users find and run shell commands easily, making terminal operations more efficient and user-friendly.
  • L

    LcnTracker 🌍

    Internship Task

    I built LocationTracker, a real-time location tracking system using Firebase and Google Maps API, as part of my internship coding interview round. It efficiently tracks and stores user movements, even offline via GPS. Successfully completing this task helped me clear the technical round and secure the internship.
Contact

Get in Touch

Have a question or just want to connect?
Drop me a message on LinkedIn or reach out directly via contact@pratikjadhav.me I'll reply as soon as I can!