Available for opportunities

Hi, I'm

Vimal
Kumar
Singh
Vimal Kumar Singh

Software Engineer II @ Morgan Stanley β€” specialising in Linux infrastructure, Python automation, container systems (Podman/Docker), and streaming analytics powering 1.5M+ servers.

⚑
2+ yrs
@ Morgan Stanley
πŸ–₯️
1.5M+
Servers in analytics pipeline
πŸ“¦
10K+
Users on Podman infra
πŸ•
40 hrs/wk
Saved via automation
Career

Work Experience

Technology Associate β€” SWE II
Jan 2026 – Present
Morgan Stanley Β· Bengaluru, Karnataka
  • Architecting a distributed RPM repository mirroring platform using pulpV2 managing 50+ repositories across 3 environments with parallel sync, GPG verification and deduplicated storage, reducing mirror sync time by 60%.
  • Migrated 4+ Python projects from legacy AFS infrastructure to NIX-packaged RPM distributions improving deployment reliability across environments.
  • Integrated and deployed the latest release of PAN compiler and Panlint tools across the organization, enabling improved debugging and validation of PAN templates supporting critical infrastructure products.
  • Revamped Podman native infrastructure as Docker replacement β€” adopted by 10,000+ users, reducing container runtime vulnerabilities by 15%.
  • Leading container platform roadmap and driving cross-team adoption of containerised workloads at enterprise scale.
  • Implemented a consolidated web dashboard to analyze the impact of template changes, replacing manual review across 10+ files with a single-page summary of affected hosts, regions, RHEL versions, and departments to streamline approval reviews.
PodmanDockerLinuxPythonInfrastructure
Technology Analyst β€” SWE I
Jul 2024 – Jan 2026
Morgan Stanley Β· Bengaluru, Karnataka
  • Onboarded projects to systematic change management β€” automated testing & structured approval workflows, reducing delivery time by 40%.
  • Built end-to-end streaming analytics solution for 1.5M+ servers with real-time Grafana & Prometheus dashboards.
  • Architected automated multi-region backup: 6 GB daily + 4 TB archives on Microsoft A360, achieving 99.9% uptime.
  • Designed custom Aquilon template bundling user tools for streamlined server provisioning.
  • Refactored mailing into an OS-independent solution deployable across any server environment.
PythonLinuxGrafanaPrometheusAquilonShell
Spring Technology Analyst Intern
Jan 2024 – Jul 2024
Morgan Stanley Β· Bengaluru, Karnataka
  • Engineered a real-time self-service RPM promotion tool, reducing manual input by 80%.
  • Saved the promotion team 40+ hours per week through intelligent automation.
PythonShell ScriptingGitUplift
Summer Analyst Intern
May 2023 – Jul 2023
Morgan Stanley Β· Bengaluru, Karnataka
  • Developed an automated provisioning system for network devices, eliminating manual intervention entirely.
PythonNetworkingAutomation
Work

Featured Projects

🌿
01 / AgroBez
Agricultural Health Intelligence

IoT + ML crop monitoring system that forecasts disease outbreaks in real time using image recognition on plant leaves, providing farmers with actionable health assessments.

60% ↓ Crop Loss30% ↑ Revenue
JavaMLFirebaseIoT
πŸ”₯
02 / ForestGuard
Forest Fire Detection System

Deep learning CNN analysing satellite imagery for real-time fire detection, intensity classification, and damage prediction with a live Streamlit dashboard for emergency response.

85%+ Accuracy50% ↑ Response
PythonTensorFlowKerasCNNStreamlit
πŸ“Š
03 / StreamDash
Real-Time Server Analytics Pipeline

End-to-end streaming analytics solution processing live data from 1.5M+ servers with Prometheus metrics collection and Grafana dashboards for anomaly detection.

1.5M+ Servers99.9% Uptime
PythonGrafanaPrometheusLinux
Stack

Technical Skills

Languages
PythonShell ScriptingPowerShellCSQLJava
Infrastructure & OS
Linux RHELKubernetesUbuntuPodmanDockerWindows
DevOps & Analytics
GrafanaPrometheusGit / GitHubJenkins
ML / AI
TensorFlowKerasNumPyPandasCNNDjango
Databases
MongoDBMySQLFirebase
Containers
PodmanDocker
Operating Systems
RHELUbuntuWindows Server
Monitoring
GrafanaPrometheus
Scripting
BashShellPowerShellPython
Frameworks
TensorFlowKerasPandasNumPy
Architectures
CNNDeep LearningImage Recognition
Applications
Disease DetectionFire DetectionPlant Health AI
Core Proficiency
Python95%
Linux / Shell Scripting92%
Podman / Docker88%
Grafana / Prometheus85%
TensorFlow / Keras78%
SQL / MongoDB75%
Research

Publications

Writing

Blog Posts

🐳
Infrastructure
Podman vs Docker: Why We Made the Switch at Scale
How migrating 10,000+ users from Docker to Podman reduced our runtime vulnerability surface by 15% and eliminated the daemon-as-root problem.
Mar 20255 min read β†’
πŸ€–
Machine Learning
CNN Architectures for Agricultural Disease Detection
Comparing ResNet, VGG, and MobileNet on the PlantVillage dataset β€” what worked, what didn't, and how we achieved 85%+ accuracy.
Oct 20246 min read β†’
Recognition

Achievements

πŸ†
Global Tech Excellence Award, Morgan StanleyRecognized for outstanding technical innovation and delivery excellence.
πŸ†
TechExpo 2023 WinnerWinner among 150+ participants for a model predicting plant health in real time.
⭐
3β˜… CodeChef Β· 5β˜… HackerRankConsistent competitive programming ratings across multiple platforms.
🧩
250+ LeetCode ProblemsStrong foundation in data structures, algorithms, and problem solving.
πŸ“
4 Research PublicationsPublished peer-reviewed papers at EAI, TCCE, and NEIAIS conferences.
Learning & Growth

Certificates

Get in Touch

Let's Build
Something Together

Open to exciting engineering challenges, automation infrastructure collaborations, or just a great conversation about Linux, Python, and distributed systems.

Or send me a direct message