DevOps Projects in PunjabDevOps Projects in PunjabThis is my 5+ years of experience in an International company, Techlogix.
I currently serve as the Technical Lead of the Azure Cloud team, guiding engineers and driving complex cloud initiatives from design to deployment. My role spans end-to-end ownership of Azure solutions architecture, implementation, security, networking, DevOps practices, and operational excellence. I lead seven active projects and supervise a team of five engineers, ensuring high-quality delivery while maintaining strong coordination with cross-functional groups, including Development, QA, Data, and AI. I regularly engage with clients and external teams through direct calls, translating technical requirements into dependable cloud solutions.
One of my key strengths is resolving high-impact production issues that require deep technical insight. I am often the primary escalation point when traditional troubleshooting paths fail, and I take pride in restoring stability, quickly and precisely.
My academic background includes graduating as a university medalist with a CGPA of 3.72. In my professional tenure at Techlogix, I have been recognized for exceptional performance, earning the “Achiever of the Month” award and consistently ranking among the top-performing engineers.
I bring a combination of technical mastery, leadership, and a strong sense of ownership that aligns well with roles requiring responsibility, initiative, and cloud expertise.
My LinkedIn Profile Link: https://www.linkedin.com/in/muhammad-rameez-tahir-03545912b/ Rangoli CRM - Serverless React CRM Platform
Rangoli CRM was a serverless React.js CRM platform that I developed from scratch, including the frontend, serverless backend workflows, API integrations, deployment, and production setup. The system was built to manage customers, orders, billing, printable invoices, shipments, and business reporting from a single dashboard.
The frontend was built with React.js and hosted on Firebase Hosting. For backend/serverless logic, I used Firebase Cloud Functions, while Hasura was deployed on Heroku to provide GraphQL APIs for application data. I integrated shipment workflows, including Shiprocket, so the business could manage order delivery and tracking directly through the CRM.
My Role
Full Project Developer
Key Work
Developed the complete CRM from scratch
Built React.js dashboard screens for customers, orders, billing, invoices, shipments, and reports
Hosted the frontend on Firebase Hosting
Built serverless workflows using Firebase Cloud Functions
Used Hasura on Heroku for GraphQL data APIs
Integrated GraphQL APIs with Apollo Client
Integrated Shiprocket for shipment and delivery workflows
Managed frontend state using Redux
Built responsive UI using Ant Design
Handled deployment, debugging, and production setup
Tech Stack
React.js, Redux, Ant Design, Firebase Hosting, Firebase Cloud Functions, Hasura, GraphQL, Apollo Client, Heroku, Shiprocket API, JavaScript AI Image Forensics Web Application
Project Overview
A professional-grade, multimodal web application designed to detect and analyze AI-generated visual content. By combining traditional image processing techniques with advanced Large Vision-Language Models (VLMs), the platform provides comprehensive, automated analyses of image authenticity, digital signatures, and physical integrity.
Core Technologies & Frameworks
Next.js (React)
Python, FastAPI
Google Gemini Vision API
Docker, Google Cloud Run
Key Features & Engineering Highlights
8-Stage Forensic Pipeline: Engineered a highly robust image analysis pipeline that sequentially executes metadata scanning, quadrant tiling, Error Level Analysis (ELA), and Canny Edge detection.
Multimodal AI Analysis: Integrated Google Gemini Vision as an automated "forensic analyst" to evaluate visual inputs for physical inconsistencies, blending errors, and AI generation artifacts.
Decoupled Microservices Architecture: Built a high-performance Next.js frontend paired with a highly scalable Python/FastAPI backend to efficiently process complex mathematical image transformations.
Cloud-Native Deployment: Established automated workflows for containerizing the application with Docker and deploying the backend services to Google Cloud Run for scalable compute.
Data Visualization UI: Developed an intuitive, user-friendly dashboard to clearly present complex forensic findings, edge maps, and AI confidence scores to end-users.
