👋 Hi, I'm Balasubramanian Shanmugham

🌐 Connect & Explore

• 💼 LinkedIn → https://www.linkedin.com/in/spike0027
• 💻 Portfolio → https://portfolio.balashan.dev
• 🧠 LeetCode → https://leetcode.com/u/balashan/

🏗️ Senior Fullstack Engineer | Technical Architect

🚀 15+ years of experience architecting scalable enterprise systems across BFSI, Retail, and Payments domains.
I specialize in microservices, event-driven systems, data platforms, and AI-powered applications.

---

🧠 About Me

• 🏗️ Architecting distributed systems & microservices at scale
• 🔄 Strong believer in Domain-Driven Design (DDD) & clean architecture
• ⚡ Building high-throughput, event-driven systems (Kafka, async patterns)
• 🤖 Integrating LLMs (GPT, RAG, AI copilots) into real-world applications
• 📦 Driving end-to-end ownership from design → deployment
• 👨‍🏫 Mentoring engineers & leading cross-functional teams

---

🚀 Key Highlights

• ⚙️ Built Contract Kit (internal API platform) → reduced delivery effort by ~0.5 sprint
• 🔁 Designed resilient distributed systems (retry, circuit breaker, async fallback)
• 📊 Developed Distributed Job Scheduler platform (Quartz + Kafka + real-time monitoring)
• 📡 Implemented observability using OpenTelemetry + Grafana
• 📦 Built ETL/ELT pipelines with Spark + Kafka (Data Lakehouse)
• 🤖 Delivered AI-driven enterprise features (RAG, copilots, smart forms)

---

🛠️ Tech Stack

⚙️ Backend & Architecture

🔄 Messaging & Event Streaming

🎨 Frontend

☁️ Cloud & DevOps

🤖 AI / GenAI

---

🧩 Featured Work

🚀 Distributed Job Scheduler Platform

• Centralized orchestration for distributed jobs
• Supports cron, manual runJob, and event-driven execution
• Kafka fallback + retry + batch reprocessing
• Real-time monitoring, audit logging, RBAC

---

🛒 Retail Merchandising System (Barnes & Noble)

• Built scalable React-based UI with recommendation engine
• Developed modular components (pods, lists, carousels)
• Integrated APIs & CI/CD pipelines

---

🚆 Real-Time Passenger Information System

• High-performance real-time streaming system
• Socket-based ingestion + Kafka pipelines
• Modular Spring Boot backend

---

📊 Data Lakehouse / ETL Platform

• Spark-based pipelines processing Kafka streams
• Integrated HBase, Hive with orchestration
• Observability + performance tuning

---

🌐 Connect & Explore

• 💼 LinkedIn → https://www.linkedin.com/in/spike0027
• 💻 Portfolio → https://portfolio.balashan.dev
• 🧠 LeetCode → https://leetcode.com/u/balashan/

---

📊 GitHub Stats

---

⚡ Fun Fact

I love building systems that scale from thousands → millions of events/sec
and exploring how AI can transform enterprise workflows 🚀