Mohammad Heydari | Python Developer & AI Engineer

OBJECTIVE

Python Developer with expertise in data engineering and ETL processes. Strong background in Python development using pandas and NumPy for data transformation. Experienced in API development with FastAPI and database management with SQL/NoSQL. Proven track record of successfully migrating legacy systems to efficient Python-based implementations with improved performance.

EXPERIENCE

Analytics Engineer

Revolution Data Platforms

Ottawa, Canada

February 2025 - Present

Developed a real-time customer service call management system using Python, FastAPI, and WebSockets, building end-to-end data processing pipelines for voice communication.
Implemented a prototype application for voice memo transcription with structured data extraction and automated task management based on content severity.
Optimized multi-class text classification through prompt engineering and k-fold validation, significantly improving model performance.
Enhanced data quality through efficient web scraping, data transformation, and preprocessing techniques in Python.

Software Engineer

Paphus Solutions

Ottawa, Canada

January 2023 - August 2024

Successfully migrated a Unity-based Android application to WebGL, implementing asynchronous connection management and data handling, demonstrating strong system migration capabilities.
Integrated Python-based analytics pipelines with cloud services, enhancing real-time data processing through optimized ETL workflows.
Developed chatbot APIs across multiple platforms using Python and RESTful services, improving user engagement through data-driven insights.
Optimized deep learning models for custom question-answering, focusing on efficient data processing and query handling.

Course Instructor

Carleton University

Ottawa, Canada

September 2022 - December 2022

Delivered comprehensive Python programming workshops focusing on data manipulation, pandas, and ETL concepts for real-world applications.
Guided students in implementing ER diagrams and SQL for practical database solutions, emphasizing data integrity and efficient query optimization.

Graduate Research Assistant

Carleton University

Ottawa, Canada

January 2021 - November 2022

Developed a Python-based data generation and transformation pipeline, optimizing ETL processes for deep learning models in research applications.
Designed custom data preprocessing workflows and performance metrics for efficient data analysis and model evaluation.

Undergraduate Research Assistant

Amirkabir University

Tehran, Iran

February 2018 - December 2020

Developed a Python-based anomaly detection system for time-series data processing, implementing efficient data transformation and feature extraction techniques.
Created simulation frameworks for generating and validating synthetic data, enhancing model training and evaluation methodologies.

EDUCATION

M.Sc. in Computer Science (Specialization in Data Science)

Carleton University

Ottawa, Canada

January 2021 - November 2022

B.Sc. in Computer Engineering

Amirkabir University

Tehran, Iran

September 2015 - December 2020

PROJECTS

Fine-Tuning and Local RAG for LLMs

Developed a lightweight data processing pipeline for Retrieval-Augmented Generation (RAG) using Python, enhancing information retrieval from domain-specific datasets. Implemented efficient data extraction and transformation techniques to optimize contextual search, demonstrating expertise in ETL processes for NLP applications.

Custom Information Retrieval System

Built a search engine from scratch in Python, implementing data extraction, cleaning, and transformation pipelines for efficient text processing. Utilized pandas for data manipulation and designed an indexing system to improve search accuracy for large document collections.

NLP-Driven Sentiment Analysis

Developed a Python-based ETL pipeline for processing textual data using pandas and NumPy. Created vectorized operations for efficient text feature extraction, achieving 93.61% accuracy in sentiment classification through optimized data transformation.

SKILLS

Strong proficiency in Python development with expertise in pandas, NumPy, and scikit-learn for implementing efficient ETL pipelines and data transformation workflows.

Extensive experience in data engineering and database management with both SQL (PostgreSQL, MySQL) and NoSQL solutions for optimized data storage and retrieval.

Demonstrated ability in API development using FastAPI, Flask, and Django for robust back-end systems that handle complex data processing.

Proven track record in system migration projects, successfully transitioning legacy codebases to modern Python implementations with improved performance.

Proficient in cloud-based data solutions on AWS and Azure, with experience optimizing data processing pipelines in distributed environments.

LANGUAGES & CERTIFICATIONS

Programming: Python, SQL, Java, C#

Languages: English (Fluent), French (Intermediate), Persian (Native)

Certifications: DataCamp Data Scientist with Python, Coursera GANs Specialization