https://chatgpt.com/share/6a99e384-6c0c-83e8-9ab1-aa7321d3f0b8

Software Development Engineer building scalable systems at Tejas Networks, Bangalore.
1+ year of professional experience crafting real-time dashboards, high-throughput microservices, and AI-powered full-stack apps.

• 🏆 Winner – Smart India Hackathon 2023
• ⚡ SDE at Tejas Networks — Node.js · React · Kafka · PostgreSQL/TimescaleDB · Docker
• 🤖 Built Smart Retail OS — an AI-powered Kirana OS with Hindi voice assistant using LangChain + Gemini
• 🛠️ Built a Job Scout CLI in Golang for scraping and filtering job listings from the terminal
• 📐 Currently deep-diving into System Design (LLD/HLD), Golang, and Agentic AI / LLMs
• ✍️ Writing engineering insights on Medium
• 🧩 1100+ DSA problems solved — LeetCode Knight (Top 2%) · Codeforces Expert
• 📍 Based in Bangalore, India

Next.js · NestJS · PostgreSQL · LangChain · Gemini LLM · Docker

• Hindi-first AI voice/chat assistant answering live sales, inventory & profit queries
• Secure JWT + RBAC backend, optimized REST APIs, rate-limited AI endpoints
• Real-time inventory dashboard, low-stock alerts, mobile-first UI — Dockerized & deployed

Golang · Debezium · Grafana · Kafka · Redis · Clickhouse

• A high-performance, scalable observability pipeline for real-time network monitoring and availability tracking.
• Built with Go, this system simulates network events, captures changes via CDC, and provides deep analytics.
• Real-Time CDC: Leverages Debezium to capture MySQL changes and stream them to Kafka without polling overhead.
• Stateful Processing: Tracks real-time node states in Redis for pinpoint accurate uptime calculations.
• Analytical Storage: Offloads downtime intervals to ClickHouse for lightning-fast SQL queries and SLA reporting.
• Comprehensive Monitoring: Fully integrated with Prometheus metrics and Grafana dashboards for full-stack observability

Node.js · NestJS · Go · Python · Kafka · PostgreSQL · Kubernetes · Traefik · Whisper · Gemini

• A high-throughput, microservices-based event-streaming platform for ledger transactions and voice-driven retail workflows.
• Kubernetes-native deployment with Docker CI/CD, HPA autoscaling, and circuit-breaker protection for resilient scaling.
• Kafka-powered async pipelines with consumer-side batching and bulk inserts into PostgreSQL; validated at 10k+ requests/sec and 100k+ concurrent users with sub-60ms p95 latency.
• Backpressure & reliability: Traefik ingress rate-limit middleware, throttling, and exponential backoff/retries reduced API failures from ~75% to <5%.
• Voice AI integration: Hindi-capable pipeline using Whisper (transcription) + Gemini (parsing), cutting manual reconciliation by >50%.

📌 Favourite problem I'm proud of: Divide Array into Subarrays with Min Cost II — 100% faster solution

✍️ I write about system design, backend engineering, and Go on Medium — check it out!

"Build systems that scale. Write code that lasts. Never stop learning."