| Hey there! I'm Madhur, a Software Engineer specializing in cloud-native applications and scalable backend systems. I've built AI-powered cooking prediction systems, contributed to LLM benchmarking for Grok-4, and architected event-driven platforms serving hundreds of users. AWS Solutions Architect certified and an AWS Community Builder for Serverless — I'm passionate about building production-grade infrastructure with Terraform, Docker, and modern DevOps practices. |
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🎯 Journey & Experience
├── 💼 Experience
│ ├── Digital Product School (Munich) — Software Engineer
│ │ └── AI-powered cooking prediction for commercial ovens
│ │ └── Real-time vision pipeline with YOLO + Gemini API
│ │ └── FastAPI + PostgreSQL backend on AWS ECS
│ │
│ ├── Mercor — Software Engineer
│ │ └── Contributed to Grok-4 achieving 75% SWE-Bench accuracy
│ │ └── Built evaluation datasets across 15 Python repositories
│ │ └── Created reproducible Docker environments for LLM testing
│ │
│ └── Kloudwise — Software Engineer Intern
│ └── Resume-matching platform serving 500+ candidates
│ └── Event-driven notifications processing 1000+ events/month
│ └── Terraform IaC reducing deployment from 2 days → 15 minutes
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├── 🚀 Featured Projects
│ ├── AstriX — Task Management with 78 AWS resources via Terraform
│ ├── SLA Breach Monitor — Real-time Flink + Kafka pipeline
│ └── Event-driven architectures with Lambda, SQS, SNS
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├── 🎓 Education
│ └── BTech in Computer Science @ Bennett University (2022-2026)
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└── 🏆 Certifications
├── AWS Solutions Architect – Associate
└── AWS Community Builder (Serverless)
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Full-stack task management with 28 REST APIs, dual-token auth, RBAC with 3 roles. Deployed 78 AWS resources via 10 Terraform modules (VPC, ECS Fargate, ALB, CloudFront). CI/CD with GitHub Actions achieving 40% latency reduction. |
Real-time stream processing with Flink SQL and Kafka, computing p95 latency across endpoints. Chaos engineering service streaming 1000+ events/min. Gemini AI integration for automated root cause analysis, reducing MTTA by 70%. |
