🎓 Final-Year CS Student • 🦫 Go Backend Developer • 🤖 ML/NLP Explorer • 📍 Vadodara, Gujarat

Backend developer transitioning from placement to passion — placed at Capgemini (SAP ABAP) but actively building my path into Go backend engineering. I believe in learning by building, not just watching: every concept I study gets turned into something real.

type CurrentWork struct {
    Backend     string // "Go: REST APIs, concurrency, microservices"
    ML_NLP      string // "GPT from scratch + BERT jailbreak classifier"
    OpenSource  string // "Active contributor — first PR merged ✅"
    RoadMap     string // "Go → System Design → Docker/K8s → AWS"
}

• Building production-ready REST APIs with clean architecture
• Deep-diving into goroutines, channels, and concurrency patterns

• GPT from scratch — implementing transformers to understand LLMs at a foundational level
• BERT-based Jailbreak Prompt Classifier — NLP model to detect adversarial AI prompts

• Made my first open-source contribution — bug fix merged into gog CLI tool
• Actively looking for Go and ML projects to contribute to

Linux → Go Backend → System Design → Docker/Kubernetes → Microservices → AWS

Building genuine depth, not surface-level AI-assisted knowledge.

• Build a portfolio of real, deployed backend systems
• Make meaningful open-source contributions in the Go ecosystem
• Document the journey publicly — placement → self-made developer

When I'm not writing Go or training NLP models, I'm watching anime, exploring tech documentaries, or thinking about the Indian developer job market way too much. Sometimes the best architecture decisions happen during episode breaks. 🍿

Exploring my repos? You'll see the evolution — from scripts to APIs to ML models. Each commit is a step away from the expected path and toward something I actually chose.

Want to collaborate? Especially interested in Go backend projects, NLP/ML experiments, or anything open-source.

"Placed by default. Building by choice."