Hello, I'm

Mridul Singhal

Full-Stack Engineer &
Systems Architect

Frontend → Backend → Infrastructure → Observability

Building production systems that scale, perform, and stay online

View Engineering Case Studies →

React · Next.js

Node.js · TypeScript

MongoDB · PostgreSQL

Splunk · Observability

About Me

I build and own production systems end-to-end—from frontend interfaces through backend services to infrastructure and observability layers. At Michelin, I architected monitoring platforms processing 50M+ events/day and automated critical operations, reducing MTTR by 60% and saving 30+ engineering hours weekly.

My approach centers on architectural tradeoffs, performance under scale, and operational reliability. I've designed distributed observability systems, built self-service automation platforms, and made stack decisions that balance complexity with maintainability. Every system I build includes instrumentation, graceful degradation, and clear operational runbooks.

systems-engineer.ts

const mridul = {
                                  role: "Full-Stack Engineer & Systems Architect",
                                  focus: ["Production Systems", "Observability", "Infrastructure"],
                                  scale: {
                                    monitoring: "50M+ events/day",
                                    automation: "30 hrs/week saved",
                                    uptime: "99.95%"
                                  }, 
                                  decisions: ["Architecture", "Performance", "Reliability"],
                                  stack: {
                                    observability: ["Splunk", "Custom Dashboards"],
                                    automation: ["Python", "PowerShell", "APIs"],
                                    fullStack: ["Next.js", "TypeScript", "MongoDB"]
                                  }
                                };

Work Experience

July 2022 - Present

Application Support Engineer

@ Michelin India Pvt. Ltd.

Supported 10+ mainframe and web-based applications for the Europe Zone (IBM TPX V5, Web Systems).
Developed 100+ Splunk dashboards and automated alerts, reducing manual monitoring by 25%.
Managed databases (MySQL, PostgreSQL, MongoDB) and real-time data flows via Kafka & CFT.

SplunkSQLKafkaMainframe

2017 - 2022

B.Tech in Computer Science

@ MIT World Peace University

Relevant Coursework: Database Management, Systems Programming, Algorithms Analysis, AI, ERP Systems.

C++Data StructuresDBMS

Flagship Case Studies

Production systems built, deployed, and maintained. Emphasis on architecture decisions, tradeoffs, and measurable impact.

Full-StackAI/MLSecurityInfrastructure

M.A.S. AI - Multi-Agent Adaptive Security

Defensive-first AI penetration testing platform with 10 specialized scanning agents

10Security Scanners

7+AI Agents

50+Attack Vectors

Next.jsTypeScriptExpress.jsMongoDB+5

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BackendInfrastructureObservability

Enterprise Observability Platform

Production monitoring system processing 50M+ events/day

50M+Events/Day

60%MTTR Reduction

99%Monitoring Coverage

SplunkPythonPowerShellMongoDB+1

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FrontendBackendSEO

This Portfolio Website

Engineering-first portfolio built with Next.js and system thinking

100/100Lighthouse Score

<1.2sLoad Time

TBDConversion Rate

Next.js 16TypeScriptThree.jsFramer Motion+1

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BackendInfrastructureAutomation

Infrastructure Automation Suite

Self-service automation reducing ops workload by 30 hours/week

30 hr/weekTime Saved

0 in 6 monthsManual Errors

50+Scripts Deployed

PythonPowerShellREST APIsMongoDB+1

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Technical Writing

Engineering case studies, architecture deep-dives, and production learnings

Observability

Architecting Observability at Scale

How I built a Splunk platform processing 50M+ events/day with 93% faster incident detection. Deep dive into data pipelines, alert strategies, and operational tradeoffs.

Case Study

Infrastructure

Infrastructure Automation: Design Decisions & Tradeoffs

Building a self-service automation platform that eliminated manual errors and saved 30 hours/week. Exploring idempotency, rollback strategies, and cross-platform challenges.

Case Study

Full-Stack

Building This Portfolio: A Meta Case Study

Engineering-first portfolio design using Next.js 16, RSC, and system thinking. Framework decisions, content strategy, and performance optimization for 100/100 Lighthouse score.

Case Study