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Mushfiqul Tech

@mushfiqultech

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Senior Python developer specializing in scalable backend systems, data engineering, and AI/ML solutions.

United States

Message

What I'm looking for

I seek roles where I can build scalable backend and data systems, apply AI/ML to product problems, work in Agile teams, and drive automation and reliable deployments.

I am a Senior Python Engineer with over nine years designing and implementing scalable, high-performance backend systems and data pipelines. I build reliable, production-ready services using FastAPI, Django, Flask and focus on clean, maintainable code.

I have strong data engineering and AI/ML experience—developing ETL workflows with Airflow, optimizing data models in PostgreSQL and MongoDB, and applying scikit-learn, TensorFlow and Keras for model development and deployment. I also implement CI/CD, Docker, and AWS-based deployments to ensure operational efficiency.

I thrive in Agile, cross-functional teams, contribute to architecture and automation, and prioritize delivering business value through efficient, robust software and data solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Python Engineer

Current

Senarios

Oct 2022 - Present (3 years 1 month)

Designed and developed scalable backend systems with Python (FastAPI, Django), built data workflows and automation with Airflow and SQL, and implemented CI/CD pipelines while applying ML models to enhance product intelligence.

Python fastAPI Django Apache Airflow SQL Pandas CI CD TensorFlow scikit learn

Python Developer

ABFA Technologies

Feb 2018 - Sep 2022 (4 years 7 months)

Developed RESTful APIs and scalable backend services with Django and Flask, built ETL pipelines and automation scripts, and integrated AWS and Docker to improve scalability and operational efficiency.

Python Django Flask RESTful APIs PostgreSQL MongoDB ETL Docker AWS

Junior Software Engineer

RLTSquare

Jun 2015 - Jan 2018 (2 years 7 months)

Collaborated with data science to develop and deploy ML models and data preprocessing pipelines using scikit-learn, Pandas, and NumPy, and contributed to backend services with Flask for production integration.

Python scikit learn Pandas NumPy Flask data preprocessing Model Evaluation ETL

Backend Engineer Intern

Maftech

Feb 2015 - May 2015 (3 months)

Assisted in Python automation, data processing, and ML prototype development using scikit-learn and Pandas, supporting data cleaning, feature engineering, and model testing.

Python Automation scikit learn Pandas Data Cleaning

Education

Degrees, certifications, and relevant coursework

Palm Beach Community College

Bachelor of Computer Science, Computer Science

Completed a Bachelor of Computer Science focused on data structures, algorithms, software engineering, and database systems with practical Python programming experience.