• Currently: Technical Manager — Telematics Platform @ Escorts Kubota Limited
• Previously: Full Stack Engineer @ Ford Motor Company — built EV charging infrastructure handling 100M+ monthly events
• Obsessed with: distributed systems, observability, and making on-call not terrible
• Currently working with: Kafka, Kubernetes, gRPC, NestJS, Spring Boot, New Relic, OpenTelemetry
• Exploring: LLM fine-tuning, RAG pipelines, AI agents, MCP Protocol
• Ask me about: circuit breakers, Kafka throughput tuning, MongoDB tiered storage, or building chatbots that actually reduce support tickets
• Reach me: manikdhanjal.com | manikdhanjal217@gmail.com
• Fun fact: My dog has better uptime than most legacy services I’ve inherited

Charging Console — CDC Platform @ Ford Motor Company Real-time EV charging data platform processing 100M+ monthly events, reducing incident resolution from weeks to hours. Designed Kafka pipeline with 6x throughput, MongoDB tiered storage saving 15% costs and 80% CUD performance gain, and 99.99% uptime on revenue-critical services via circuit breakers. NestJS Kafka MongoDB Atlas Redis React Socket.IO gRPC Kubernetes New Relic

Poshan Gyan — India’s First Nutritional Multimedia Repository Government-backed public health education platform reaching 2,400+ users in its first month, centralizing nutritional data for healthcare workers and the public. Node.js React MongoDB REST APIs Docker

Skynet Neural Engine Custom neural network engine built entirely from scratch — full forward pass, backpropagation, and gradient descent without any ML framework dependency. Python NumPy Neural Networks Backpropagation

• 4th rank on GeeksForGeeks at institute level
• 5 Stars on HackerRank (Java)
• 300+ coding problems solved across LeetCode, HackerRank, and CodeChef