Experience

Five years, five teams, one through-line.

Production Python systems — backends, AI tooling, data pipelines, and the dashboards that wrap them. Sorted newest to oldest.

Nov 2024 — Present
Upwork — Brilio

Sr. Python Developer

Architected and built the backend for Brilio, an enterprise AI agent platform. End-to-end LLM tooling, retrieval, pipelines, and bot integrations.

  • Architected the backend infrastructure with Python, FastAPI, MySQL, Azure, and Airflow.
  • Built AI processing modules: document parsing, web scraping, text-to-speech, speech-to-text, and text-to-SQL.
  • Shipped LLM features (OpenAI, Anthropic, DeepSeek) enhanced with RAG over vector databases and fine-tuning.
  • Implemented Airflow DAGs for data pipeline orchestration and task scheduling.
  • Built streaming and batch inference paths for real-time and asynchronous workflows.
  • Integrated Telegram and Viber bots, YouTube, and Instagram processing — with monitoring and proper error handling.
Python FastAPI MySQL Azure Airflow OpenAI Anthropic RAG Vector DB
Oct 2022 — Nov 2024
Venrup

Sr. Python Developer

Built internal tooling and a multi-tenant promo-video SaaS for an e-commerce group. Replaced spreadsheets with dashboards; cut bugs in half.

  • Built customized tools and dashboards automating workflows across marketing, sales, and product research.
  • Engineered an admin dashboard for client onboarding, brand and product management, and inventory.
  • Migrated 90% of Excel-dependent processes to tailored dashboards and automated systems.
  • Wrote complex queries for dashboard analytics, boosting data retrieval speed by 40%.
  • Architected FuelMediaTV — a secure, multi-tenant, scalable promo-video platform on Python, FastAPI, AWS, FFMPEG, and ImageMagick.
  • Built ad-serving and campaign tooling for FuelMediaTV.
  • Implemented automated tests and CI/CD on AWS, cutting bug counts by 50%.
Python FastAPI AWS FFMPEG ImageMagick CI/CD PostgreSQL
Jan 2022 — Sep 2022
Rapidev

Python Developer

Scraped major news and social platforms at scale. Replaced sequential pipelines with Kafka-backed concurrent processing; led a Flask→FastAPI migration.

  • Built resilient data architecture for scraping major news and social media sites.
  • Engineered a secure admin portal in Django, used by 50+ team members for control, monitoring, and audit.
  • Replaced sequential pipelines with async writes to Kafka — cutting waiting times by 200%.
  • Engineered caching strategies and DB optimizations, improving system scalability by 70%.
  • Led the migration of a legacy Flask system to FastAPI.
Python Django FastAPI Kafka Redis PostgreSQL
May 2021 — Jan 2022
PanaceaLogics

Python Developer / ML Engineer

Real-estate and e-commerce web apps; NLP pipelines for document analysis and large-scale data extraction.

  • Built real-estate and e-commerce web applications with Django and FastAPI.
  • Used Beautiful Soup and Selenium to assemble training data for NLP models.
  • Designed analysis systems extracting structured information from large-scale data.
  • Built AI models for EGT document analysis using TensorFlow, Spacy, and NLTK.
Python Django FastAPI TensorFlow Spacy NLTK Selenium
Feb 2020 — May 2021
Center for Advanced Studies in Energy, UET Peshawar

Machine Learning Engineer

Time-series prognostics for aircraft engines — predictive maintenance with deep learning.

  • Developed a CNN+LSTM time-series model predicting remaining useful life of aircraft engines with 98% accuracy.
Python TensorFlow CNN LSTM Time series