DevOps / AI Engineer

Rehan Mahmood

Building innovative solutions at the intersection of DevOps and AI. Specialized in cloud infrastructure, machine learning, and enterprise-grade applications.

Rehan Mahmood

Professional Experience

Work Experience

Mid-Level DevOps/AI Engineer

Eziline Software House Pvt. Ltd

Nov 2023 - Present
  • Managed and optimized ERPNext cloud infrastructure, orchestrated deployments, developed custom APIs, resolved complex code issues, and executed critical migrations.
  • Engineered a kernel-level virtual printer to enable API connectivity for lab instruments (Shimadzu, HPLC, Agilent) lacking native integration capabilities, achieving 100% data sync accuracy for proprietary formats (.lcd, .splc), while implementing a RAG with local LLMs for lab report analysis.
  • Engineered a cost-effective Bulk-SMS solution replacing expensive Twilio services, reducing messaging costs up to $19 monthly by implementing custom SMS gateway integration.
  • Developed an innovative document synchronization system between MSWord and open-source Ckeditor using RestAPIs, saving $20 monthly costs of using premium paid Ckeditor.
  • Built an enterprise-grade Employee Management System with real-time tracking and military-grade encryption, improving workplace security and productivity tracking.
  • Implemented an ML-powered Restaurant Analysis System using computer vision and custom 10k image dataset, leading to improvement in food quality assessment and work efficiency.
  • Created an automated web scraping system bypassing modern CAPTCHA systems (reCAPTCHA V2/V3, hCaptcha etc), increasing data collection efficiency by 90%.

Machine Learning Intern

Ezitech Learning Institute

Aug 2023 - Nov 2023
  • Delivered Computer Vision, NLP, and Data Analytics projects that surpassed required accuracy.
  • Trained models for email spam detection, hand fracture recognition and customer churn prediction.

Education

Bachelor of Science in Information Technology

Air University Islamabad

Graduated 2023
Relevant Courses:
DSA
OOP
DBMS
Cloud Computing
Artificial Intelligence

Certifications

IBM AI Engineer Professional Certificate

Deep Learning Specialization

Google Advanced Data Analytics Professional Certificate

AWS Cloud Solutions Architect

Featured Projects

ERPNext Cloud Infrastructure

ERPNext Cloud Infrastructure

Managed and optimized ERPNext cloud infrastructure, orchestrated deployments, developed custom APIs, resolved complex code issues, and executed critical migrations.

DevOps
Cloud
API Development
EzitechAI Interview System

EzitechAI Interview System

An AI-powered interview system for technical assessments.

AI
ML
Interview System
LearnFaster.ai

LearnFaster.ai

Developed and launched as both an executable and web application. Leverages reverse-engineered usage of MetaAI directly in the application. Enhances learning with text, conversational flow, and architectural diagrams in user-preferred styles. Features progress analytics, complex word meanings, and chat history viewing. Includes real-time conversation mode using webkitSpeechRecognition and generates diagrams in 3 seconds without paid APIs.

AI/ML
Education
Web App
Factory Analysis System

Factory Analysis System

Orchestrated end-to-end ML pipeline for factory work detection and pose tracking Created 10k image dataset and used roboflow for segmentation Gained actionable insights on employee service patterns and workflow efficiency Libraries used: Supervision, Ultralytics YOLO, ByteTrack, Resnet50, MobileVNet and MediaPipe.

Computer Vision
AI/ML
YOLO
Laboratory Information Management System

Laboratory Information Management System

Developed a virtual printer using Python leveraging 'Microsoft Print To Pdf' driver and Windows API. Utilized Tesseract OCR and image processing for data extraction of lab reports. Designed RESTful APIs for data transfer.

AI/ML
OCR
Python
Employee Time-Monitoring App

Employee Time-Monitoring App

Developed Time-Monitoring Application for tracking and productivity management. Implemented real-time tracking, data encryption, and efficient storage. Enhanced security with BCrypt, CFFI, twisted, Argon2id, NaCl. Developed UI using PyQt6 Fluent Widgets Library.

Python
Security
UI/UX
Windows Document Management System

Windows Document Management System

Implemented an Asynchronous document creation and editing system using webhooks. Real-time synchronization between web CKEditor interface and Microsoft Word on PC. Utilized pythoncom for COM threading and python-docx for text extraction.

Python
Java
Document Management
Bulk SMS Communication System

Bulk SMS Communication System

Developed a Bulk SMS communication system without need of direct serial interface and services like Twilio. Supports high-volume messaging with multithreading and SQLite storage. Automated SMS sending/receiving using reverse-engineered usage of dongle interface portal.

Python
Communication
Automation
Football Analysis System

Football Analysis System

A computer vision system that analyzes football match videos to track players and ball positions. Performs team assignment by analyzing player jersey colors using K-means clustering. Calculates player speeds, distances covered, and transforms camera view to top-down perspective. Estimates camera movement to adjust player positions for accurate tracking.

Computer Vision
YOLO
K-Means Clustering
TensorFlow
PyTorch
Autonomous Web Scrapers

Autonomous Web Scrapers

Automated the workflow and gathering of data from websites. Implemented rotating-proxies, spoofing, and captcha bypass techniques. Utilized selenium, playwright, scrapy, bs4, ddddocr, CNN, image segmentation.

Python
JavaScript
AI/ML
Insight.ai

Insight.ai

Developed an advance RAG-based document question-answering system using Ollama, LangChain, and faisscpu. Integrated multiple gguf, onnx and transformers models to provide understanding and generation capabilities.

AI/ML
RAG
LangChain
Photo Organizer App

Photo Organizer App

Led & developed an Android gallery application with multiple features using Android Studio. Integrated CNN model to organize gallery images into multiple categories based on the assigned labels. Used ResNet152 model for retrieval of similar images.

Java
Python
AI/ML

Technical Skills

AI & Machine Learning

TensorFlowPyTorchOpenCVNLPComputer VisionRAGLLMs

DevOps & Cloud

DockerKubernetesAWSCI/CDGitLinuxNginx

Backend & Databases

PythonDjangoJavaPostgreSQLMongoDBSupabaseREST APIs

Frontend & Tools

JavaScriptHTMLCSSReactTableauRData Analytics

Get in Touch

Have a project in mind or want to discuss potential opportunities? Feel free to reach out!