Building software. Designing systems. Solving problems.
const chahel = {
role: "Software Engineer",
location: "Ahmedabad, Gujarat, India",
focus: [
"Full Stack Development",
"Backend Engineering",
"System Design",
"Data Engineering",
"AI-powered Applications"
],
languages: [
"C++",
"JavaScript",
"Python",
"Java",
"SQL"
],
currentlyLearning: [
"System Design",
"Distributed Systems",
"Data Engineering",
"Cloud & DevOps"
],
mindset: "Build → Break → Understand → Improve"
};I don't just want to build applications — I want to understand the systems behind them.
|
Building complete web applications with modern frontend, backend and database technologies. |
Designing REST APIs, authentication systems, database architectures and scalable services. |
Learning how real-world systems handle scale, reliability, caching, databases and distributed workloads. |
🗃️ SQLensSQL Query Optimizer & Visualizer An interactive developer tool focused on understanding how SQL queries are parsed, optimized, and executed — turning database internals into something visual and easier to understand. Highlights
Stack
|
IPL Data Engineering Pipeline A data engineering pipeline for processing and transforming IPL cricket data using a scalable Medallion Architecture, from raw data ingestion to analytics-ready datasets. Highlights
Stack
|
I'm actively studying the concepts that power large-scale software systems.
DATABASES
├── Indexing
├── B+ Trees
├── Transactions
├── ACID
├── Isolation Levels
├── Locks
├── Replication
└── Sharding
SYSTEM DESIGN
├── Load Balancers
├── API Servers
├── Caching
├── Redis
├── Message Queues
├── Kafka
├── Microservices
└── Distributed Systems
BACKEND
├── REST APIs
├── Authentication
├── JWT
├── Middleware
├── Async Programming
├── Node.js
└── Spring Boot
DATA ENGINEERING
├── SQL
├── PostgreSQL
├── Python
├── Pandas
├── NumPy
├── PySpark
├── Data Pipelines
└── Cloud Storage
TechHack 2025
Built and presented a technical solution while competing at the state level.
Remote | Jul 2026 — Sept 2026
Worked on software engineering tasks involving codebases, benchmarking workflows and agentic evaluation systems.
Focus Areas
- Software engineering workflows
- Repository-level development
- Benchmarking & evaluation
- Debugging and code analysis
- Agentic coding environments
┌─────────────────────────────────────────────────────┐
│ │
│ ████████████████████████░░░░ FULL STACK │
│ █████████████████████░░░░░░░ BACKEND │
│ ██████████████████░░░░░░░░░░ SYSTEM DESIGN │
│ ████████████████░░░░░░░░░░░░ DATA ENGINEERING │
│ █████████████░░░░░░░░░░░░░░░ CLOUD & DEVOPS │
│ │
└─────────────────────────────────────────────────────┘
- 🔥 Strengthening DSA & problem solving
- ⚙️ Building stronger backend engineering skills
- 🏗️ Learning system design & distributed systems
- 🗄️ Going deeper into database internals
- 🐍 Exploring Python & Data Engineering
- ☁️ Learning Cloud & DevOps
- 🤖 Building practical AI-powered applications
Don't memorize the abstraction. Understand what's underneath it.
Whether it's an index, API, load balancer, message queue or distributed database — I like understanding why it exists, how it works, and when to use it.
Learn
↓
Build
↓
Break
↓
Debug
↓
Understand
↓
Build Better
Arrays • Hashing • Linked Lists • Binary Search
Prefix Sum • Sliding Window • Two Pointers
Greedy • Trees • Graphs • Dynamic Programming
