package main
import "fmt"
type Engineer struct {
Name string
Role string
Location string
Stack []string
LeetCode string
OpenTo string
}
func main() {
me := Engineer{
Name: "Om Anand Dubey",
Role: "Backend Engineer | Ex-TCS",
Location: "India 🇮🇳",
Stack: []string{"Go", "Java", "Spring Boot", "Kafka", "Kubernetes", "Docker", "PostgreSQL", "Redis"},
LeetCode: "Top 0.1% Globally — 1500+ Problems",
OpenTo: "SDE / AI Engineer @ Product Companies",
}
fmt.Println("Building systems that hold up under load — and stay observable while they do it.")
_ = me
}| Platform | Achievement |
|---|---|
| 🟡 LeetCode | Top 0.1% Globally — 1500+ Problems Solved |
| 🟢 GeeksforGeeks | Top Campus Performer — 1000+ Problems Solved |
| 📊 Total | 2500+ DSA Problems across all platforms |
Languages
Backend & Frameworks
Infrastructure & DevOps
Databases
AI / LLM
Asynchronous notification system built with Spring Boot and Apache Kafka, with idempotent producers, DLQ-backed retry handling, and a full Prometheus + Grafana observability stack — containerized and Kubernetes-ready.
Java Spring Boot Kafka Docker Kubernetes Prometheus Grafana
Distributed URL shortener in Go with Redis caching, PostgreSQL persistence, multi-replica Kubernetes deployment, and full CI/CD via GitHub Actions. Production-grade observability built in with Prometheus and Grafana.
Go PostgreSQL Redis Docker Kubernetes Prometheus GitHub Actions
Enterprise-grade RAG platform for natural language querying across organizational documents — built with FastAPI, LangChain, and pgvector for semantic retrieval, powered by GPT-4o-mini with JWT-secured multi-user access.
Python FastAPI LangChain OpenAI PostgreSQL pgvector
🛒 Green Cart • Live ↗
Full-stack grocery delivery platform containerized with Docker, with Stripe payment integration, deployed to production.
Node.js React MongoDB Docker Stripe
🤖 Quick AI SaaS • Live ↗
Full-stack PERN app integrating Gemini API, ClipDrop, Cloudinary, and Clerk Auth for AI content generation.
PostgreSQL Express React Node.js Gemini API
Smart chatbot powered by Groq API and LLaMA 3.1 with session persistence and real-time replies.
Python Groq API LLaMA 3.1
Assistant System Engineer Trainee — Tata Consultancy Services (March 2026 – June 2026)
Built a Spring Boot backend with MySQL and JWT-based RBAC across 3 user roles, along with 5+ RESTful APIs for auth and booking management, backed by JUnit 5 and Mockito test coverage.
AI/ML Intern — IBM SkillsBuild × AICTE (May–July 2024)
Built a Mental Health Fitness Tracker analyzing data across 150+ countries using 6+ regression models. Achieved 98.5% accuracy with Python and Scikit-Learn.
Lead, AI/ML Team — Google Developer Student Club (GDSC-GGV)
Mentored peers on AI/ML projects, model deployment, and hackathon preparation.
🎓 B.Tech — Computer Science & Engineering | Guru Ghasidas Vishwavidyalaya
✅ Oracle Cloud Infrastructure 2025 — Generative AI Professional ✅ Oracle Cloud Infrastructure 2025 — AI Foundations Associate