Skip to content
View mrsddq's full-sized avatar
🎯
Focusing
🎯
Focusing
  • 21:43 (UTC +05:30)

Block or report mrsddq

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mrsddq/README.md

Laraib Ahmad Siddiqui

DevOps Engineer | MLOps Engineer | AWS • Kubernetes • Terraform • CI/CD • GitOps • Python

I build automated cloud infrastructure, reliable delivery pipelines, and reproducible environments for software and machine-learning workloads. My background combines AWS/Kubernetes platform engineering, infrastructure as code, CI/CD and GitOps, observability, and MLOps deployment workflows.

My recent work at Handshake AI and AfterQuery extends that experience into evaluating coding agents on infrastructure recovery, configuration repair, Linux troubleshooting, and ML workflows.

e-mail | LinkedIn | GitHub

Selected DevOps and MLOps projects

Project What you can inspect
AWS EKS Platform Blueprint A reference platform with Terraform VPC/EKS configuration, IAM boundaries, Kubernetes manifests, GitOps configuration, observability values, and operating runbooks.
DevOps Policy Audit Toolkit A Python CLI for infrastructure and CI policy checks, with configurable severity gates, finding baselines, SARIF/HTML/JSON reporting, and automated tests.
Rental Price MLOps Pipeline A rental-prediction case study with data validation, model quality gates, artifact and registry metadata, FastAPI serving, Docker, tests, and Kubernetes/Helm manifests.
ML Platform Infrastructure on Kubernetes A model-serving infrastructure demo with a Python scoring API, Docker, Helm, Argo CD manifests, Prometheus metrics, and container smoke checks.

These are portfolio implementations, demos, and blueprints. Each repository documents its scope, setup, and validation steps.

Engineering toolkit

Area Tools and practices
Cloud and infrastructure as code AWS, EKS, EC2, VPC, IAM, S3, RDS, Terraform, Terragrunt, CloudFormation, Ansible; working exposure to Azure and GCP
Containers, CI/CD, and GitOps Docker, Kubernetes, Helm, Kustomize, GitHub Actions, GitLab CI/CD, Jenkins, Argo CD, Flux CD
MLOps and model deployment MLflow, Kubeflow Pipelines, FastAPI, model artifacts, experiment tracking, quality reports, drift checks
Automation and testing Python, Bash, PowerShell, SQL, pytest, Git, Linux, automated regression testing
Observability, reliability, and security Prometheus, Grafana, CloudWatch, ELK/EFK, Datadog, IAM, OIDC, RBAC, KMS, Secrets Manager, incident response, RCA
AI evaluation Agent benchmarks, reference solutions, hidden verifiers, trajectory analysis, mutation testing
Data infrastructure Kafka, Apache Spark, dbt, Amazon Redshift, Snowflake

Handshake AI and AfterQuery experience

At Handshake AI (Jun-Sep 2026), my work included:

  • Developing coding and terminal-agent benchmarks covering systems infrastructure, software engineering, data processing, and machine learning.
  • Building reproducible Docker environments, Python/Bash reference solutions, and independent hidden verifiers, with Oracle, NOP, regression, and mutation testing.
  • Investigating agent execution and infrastructure failures, and using pass@2/pass@5 results alongside execution trajectories to identify shortcuts and reliability issues.
  • Consolidating 95 repositories across 15 categories and 52 subcategory groups into a private GitHub library, preserving source-commit provenance and automated integrity checks.
  • Verifying 5,440 files, preserving executable permissions, and reviewing secret-scan findings.

Client benchmark implementations remain private.

At AfterQuery (Jun-Jul 2026), I built repository and terminal-based evaluations for configuration repair, Linux troubleshooting, service recovery, bug fixing, and refactoring, with fail-to-pass and pass-to-pass regression checks.

More platform work

Opportunities and interests

Based in Delhi NCR, India. Interested primarily in DevOps Engineer, MLOps Engineer, and Cloud Platform Engineer opportunities, with a focus on AWS, Kubernetes, infrastructure automation, CI/CD, GitOps, and reliable ML infrastructure.

I also bring coding-agent evaluation experience relevant to AI infrastructure and evaluation engineering roles. My research interests include multimodal and multilingual model evaluation and agentic systems.

Popular repositories Loading

  1. python-algorithm-lab python-algorithm-lab Public

    Reference Python algorithms with stable ordering and small-input oracle tests.

    Python

  2. e-commerce-web-app e-commerce-web-app Public

    React and Vite storefront demo with tested cart quantities and exact integer-cent totals.

    JavaScript

  3. social-media-web-app social-media-web-app Public

    Local React social-feed demo with validated posts and accessible reversible reactions.

    JavaScript

  4. devops-learning-archive devops-learning-archive Public

    DevOps learning archive with a tested repository audit entry point and container smoke checks.

    Python

  5. generative-ai-web-archive generative-ai-web-archive Public

    Web development archive with a tested Azure Translator request workflow and bounded error handling.

    Python

  6. node-express-learning-archive node-express-learning-archive Public

    Node and Express learning archive with a tested local contacts API and validation examples.

    JavaScript