S
Shaheer bin Ijaz
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Punjab, Pakistan
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work
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Résumé
Jobs
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- CSENIOR SOFTWARE ENGINEERCODE DISTRICTJun 2022 - Current (3 years 1 month)• Developed a Refund Management System for Caribbean Airlines using Django REST Framework, reducing processing time. • Built a blockchain-based horse-trading marketplace on Solana using Fast API and integrated secure third-party APIs. • Designed PostgreSQL database architecture and implemented background schedulers, seeders, and custom middleware. • Ensured 99.9% uptime via automated API testing and performance monitoring using Open Telemetry. • Mentored junior developers and improved sprint velocity through code reviews and technical guidance. • Collaborated with DevOps to containerize services using Docker and deploy via AWS.
- TETL / PYTHON ENGINEERTechEstheteMay 2021 - Jun 2022 (1 year 2 months)• Designed and deployed ETL pipelines using AWS Lambda to extract product data from Walmart and Instacart APIs, processing over 500,000+ records daily into Google Big Query. • Developed and maintained RESTful APIs using Django REST Framework for internal analytics tools. • Ensured API and data pipeline performance using PyTest and automated test cases. • Integrated cloud monitoring tools and set up alerts for ETL failures, reducing data lag. • Collaborated with data analysts to model datasets for real-time dashboards and visualizations. • Conducted code reviews and enforced Git-based workflows across development teams. • Led weekly stand-ups and retrospective meetings to improve sprint planning and cross-team communication. • Reduce
- WMACHINE LEARNING ENGINEERWiMetrixNov 2019 - Apr 2021 (1 year 6 months)• Developed deep learning models using YOLO and OpenCV to detect industrial fabric defects. • Built LSTM models for time-series forecasting to predict worker efficiency, improving shift planning. • Collaborated with data engineers to implement ETL pipelines and write optimized SQL queries for extracting and transforming operational data. • Created interactive data visualizations using Matplotlib and Dash for operational reporting. • Evaluated and deployed Keras-based ML models on production servers for real-time defect detection. • Ran A/B experiments to fine-tune model hyperparameters, improving model precision. • Documented ML pipelines and maintained model versioning using Git and MLflow. • Partnered with the QA team to automate
Education
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- BBachelor of Science
BSCSLahore Garrison University- Master of Science in Computer Sciences, MSCSUniversity of Engineering and Technology