Shaheer Bin Ijaz

Summary

Six years building Python services that take real production load. The work sits between three jobs companies usually hire for separately. A Django service talking to a payment provider one day. A Lambda pipeline ingesting product data into BigQuery the next. A YOLO model checking parts on a manufacturing line the day after. The skill is treating all three as the same job: a system that runs in prod, gets observed, gets fixed when it breaks.

Experience

1. Senior Software Engineer · Devsinc

   Aug 2024 — Present

   Lahore, Pakistan · On-site

   • · Lead backend on Kenya's national healthcare initiative (HealthPro ERP / Tiberbu) and Electus Education Global, transitioning monolithic Django systems into FastAPI microservices for faster deployment cycles.
   • · Built event-driven systems with Google Pub/Sub, RabbitMQ, and the outbox pattern to guarantee reliable async communication across education and healthcare services.
   • · Run GCP infra (Cloud Run, VPCs, Scheduler) plus AWS on Tiberbu, with CI/CD pipelines built for compliance on mission-critical national healthcare workloads.
   • · Tune PostgreSQL via connection pooling, query plans, partitioning, horizontal scaling to hold latency under increased education and healthcare load.

2. Python Software Engineer · Code District

   Jun 2022 — Aug 2024

   Lahore, Pakistan

   • · Built the Refund Management System from scratch in Django REST Framework. State-machine workflow, immutable audit trail, role-based approvals. Public reconstruction is on my GitHub.
   • · Designed and shipped a Solana NFT marketplace backend in FastAPI, with off-chain Postgres read model and an indexer that follows on-chain events.
   • · Integrated Solana on-chain reads, payment flows, third-party auth across the marketplace stack.
   • · Built repeatable internal patterns: schedulers, seeders, custom user models, custom commands, middleware.

3. Python ETL Developer · Techesthete

   May 2021 — Jun 2022

   Lahore, Pakistan · On-site

   • · Built ETL pipelines pulling product data from Walmart and Instacart APIs, transforming through AWS Lambda, loading into Google BigQuery. Public reconstruction on my GitHub.
   • · Developed Django REST Framework backend APIs sitting on top of the warehouse.
   • · Owned data-quality checks and pipeline observability for high-volume retail feeds.

4. Machine Learning Engineer · WiMetrix · Industrial Data Intelligence

   Nov 2019 — Apr 2021

   Lahore, Pakistan

   • · Wrote and tuned ETL queries against SQL Server, extracting and merging operational tables for downstream ML.
   • · Trained CNN-based YOLO models to catch fabric faults on a live textile manufacturing line. Public reconstruction on my GitHub.
   • · Built regression models predicting worker efficiency from operational signals.
   • · Solved time-series forecasting with LSTMs to predict shift-level output efficiency.

Stack

Languages:

Python, SQL, TypeScript (where needed)

Backend:

Django, DRF, FastAPI, Celery, SQLAlchemy 2, Pydantic v2

Data:

Postgres, BigQuery, Pandas, NumPy, DuckDB

ML / CV:

PyTorch, YOLOv8, OpenCV, Keras, scikit-learn

Cloud & infra:

GCP Cloud Run, AWS Lambda / S3, Docker, Nginx, Redis

Event-driven:

Google Pub/Sub, RabbitMQ, outbox pattern, Celery

Blockchain:

Solana RPC, solders, off-chain indexers

Observability:

OpenTelemetry, Prometheus, structlog

Education

• Master's degree, Computer Science · University of Engineering and Technology, Lahore

  2020 — 2022

• Bachelor of Science, Computer Sciences · Lahore Garrison University

  2015 — 2019