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Mridul Singhal — Portfolio

Engineer at the intersection of enterprise systems, production reliability, observability and automation.

I don't just use technology.I understand systems, investigatecomplexity — and build what's missing.

MridulSinghal

Senior Support Engineer / Technology Builder

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02The Engineering Mind

Every incident isa question aboutthe whole system.

The Engineering Mind
  1. Understand the complexity: Production incidents rarely live in one place. They cross applications, databases, infrastructure and multi-system workflows. I trace the signal through all of them until the real cause is visible.
  2. Build for reliability: Root-cause analysis is only useful if it ends in a permanent corrective action. I look for recurring failures and systemic gaps, and close them for good.
  3. See it before it escalates: 100+ Splunk dashboards, alerts and correlation searches — designed so the system tells us something is wrong before the business does.
  4. Automate the repetitive: Health checks, monitoring enhancements and operational tooling in Python, SQL and web technologies. Every manual step removed is time returned to engineering.
  5. Connect what's disconnected: Kafka pipelines, upstream and downstream integrations, global teams. Reliability is a property of the whole system — and of the people who run it.
03The Impact

Measured inminutes saved,not lines written.

Reliability work is invisible when it's done well. These are the numbers behind it — from production support of enterprise applications at Michelin India.

The Impact
  1. 01

    0+

    100+ Dashboards, alerts & correlation searches

    Dashboards, alerts & correlation searches

    Designed and implemented in Splunk to make enterprise systems observable.

  2. 02

    0%

    25% Faster incident detection

    Faster incident detection

    Reduction in incident detection time through improved observability.

  3. 03

    0+ hrs

    2+ hrs Manual effort saved, every day

    Manual effort saved, every day

    Operational automation and health checks built with Python, SQL and web technologies.

  4. 04

    0+ yrs

    3+ yrs Enterprise production support

    Enterprise production support

    L2/L3 ownership of 10+ mission-critical applications since July 2022.

04The Systems Lab

A living map ofhow systems talk.

An illustrative enterprise topology — the kinds of systems I support every day. Select a component to inspect it, or run an incident drill to watch detection, response and automation work together.

The Systems Lab
Nominal
SourcesPipelineObserveRespondCore systemsMainframeApplicationsEnterprise AppsData integrationKafkaPersistenceData StoresObservabilitySplunkMonitoringAlertingResponseIncident MgmtOperationsAutomation

Illustrative — not a real environment

Observability

Splunk observability

Logs from every layer, indexed and correlated. Dashboards give real-time visibility; correlation searches connect symptoms across systems into a single story.

My role

Designed and implemented 100+ dashboards, alerts and correlation searches.

  • Log volume
  • Correlated events
  • Dashboard KPIs
Event stream

Waiting for signal. Press Simulate incident to run a drill_

05Engineering Projects

Things I buildwhen the shift ends.

Two independent engineering projects — one about securing systems, one about the tool engineers spend their day inside.

Engineering Projects

PRJ—012025

MAS AI Security Platform

Security assessment, end to end.

The problem

Security assessments are usually scattered across tools, spreadsheets and manual write-ups. The result is slow, inconsistent and hard to repeat.

The approach

A full-stack platform that brings the assessment workflow into one place — authenticated access, scalable APIs, a MongoDB-backed data model, and reporting that generates itself.

Technologies

  • Full-stack web
  • REST APIs
  • Authentication
  • MongoDB
  • Report automation
  • 01

    Authentication

    Access-controlled from the first request.

  • 02

    Scalable APIs

    A service layer designed to grow with load and scope.

  • 03

    MongoDB architecture

    Document model shaped around assessment data.

  • 04

    Automated reporting

    Findings turned into reports without manual assembly.

System flow · diagram

  1. 01

    Client

  2. 02

    Auth

  3. 03

    API layer

  4. 04

    MongoDB

  5. 05

    Report engine

  6. 06

    Report

>_

PRJ—022026

MASTerm

A terminal experience framework, in Rust.

The problem

Developers live in the terminal, yet most terminal setups are either fast and rigid, or flexible and slow.

The approach

A modular framework written in Rust — a lean core with composable modules on top — so performance, extensibility and developer productivity don't have to be traded against each other.

Technologies

  • Rust
  • Modular architecture
  • Terminal UX
  • Developer tooling
  • 01

    Performance

    Rust core, built to stay out of the way.

  • 02

    Modularity

    Features as modules, not a monolith.

  • 03

    Extensibility

    Designed to be extended rather than forked.

  • 04

    Productivity

    Every decision measured against developer flow.

masterm — conceptrust

Architecture · layers

  1. DeveloperWorkflow & productivity
  2. ExtensionsExtend, don't fork
  3. ModulesComposable features
  4. CoreRust · performance

Source code and live walkthroughs are shared on request.

Ask for a walkthrough
06Technology Universe

Tools are stars.The connectionsare the map.

Five clusters of capability, and the threads between them that show how they're actually used together. Drag to rotate; hover a technology to trace its connections.

Technology Universe
07The Journey

From first principlesto production.

The Journey

  1. Jul 2017

    B.Tech, Computer Science Engineering

    MIT World Peace University

    Started a computer science degree in Pune — the foundations of systems, data and software.

  2. May 2022

    Graduated

    MIT World Peace University

    Completed the B.Tech in Computer Science Engineering.

  3. Jul 2022

    Into production

    Michelin India

    Joined Michelin India in production support — L2/L3 ownership of enterprise applications across mainframe, web and data integration, supporting Europe-region operations.

  4. On the job

    Making systems observable

    Michelin India

    Designed 100+ Splunk dashboards, alerts and correlation searches; incident detection time down 25%. Kafka pipeline monitoring and integration troubleshooting.

  5. On the job

    Automating the operation

    Michelin India

    Python and SQL automation, health checks and custom monitoring and reporting — 2+ hours of manual effort saved daily. Primary on-call during critical incidents.

  6. Sep 2024

    MongoDB MDB100 & MDB200

    Certification

    Database & Security, and Optimization & Performance certifications.

  7. 2025

    MAS AI Security Platform

    Independent

    Built a full-stack security assessment platform with authentication, scalable APIs, MongoDB and automated reporting.

  8. May 2025

    ITIL 4 Foundation

    Certification

    Certified in IT service management.

  9. 2026

    MASTerm

    Independent

    Engineered a modular Rust-based terminal framework focused on performance and extensibility.

  10. Now

    Senior Support Engineer

    Michelin India

    Production support, observability and automation — and building what comes next.

08Let's build something

The next interesting thing starts with a conversation. 

Write to me

mridulsinghal11@gmail.com
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