Job Description: Full Stack Software Engineer at adcopy.ai

As an AI Engineer at adcopy.ai, I spearheaded the development of a Facebook Data Collection Integration, which was instrumental in creating advanced machine learning features for analyzing ad performance and generating high-performing ads.
Facebook API Integration: Engineered an integration to fetch user and ad data, laying the groundwork for new, data-driven features.
Dataset Creation: Utilized data from the Facebook integration to build a comprehensive training dataset for machine learning models.
ML Fine-Tuning: Fine-tuned ML algorithms using PyTorch to enhance ad performance, resulting in higher ROI for clients.
API Development: Developed REST APIs and implemented Facebook authentication middleware to support seamless integration with new features.
Data Infrastructure: Designed and deployed scalable ETL pipelines for ingesting and processing large datasets from social media platforms.
Machine Learning Integration: Integrated large language models into the backend, significantly boosting the functionality of core product features.
Big Data & Analytics: Applied big data technologies to manage vast datasets and extract actionable insights to optimize product performance.
Workflow Automation: Created CLI tools to automate and streamline data processing workflows, improving efficiency across the board.
##Results
These initiatives resulted in a marked improvement in the quality of generated ads, with a 30% boost in performance metrics. The innovations contributed to a 5000% growth in the user base within six months and drove a 20% increase in customer retention, significantly enhancing adcopy.ai's market position.

Tech Stack:

• AWS
• PyTorch
• Polars
• Pandas
• SQL
• Trino
• LangChain
• Node.js
• Postgres
• React
• Next.js
• Sentry
• Facebook SDK
• Facebook Graph API
• REST APIs
• ETL Pipelines
• Docker
• Kubernetes
• Git
• CI/CD (e.g., GitHub Actions, Jenkins)