Experience
Jul 2025 - Present
6 months
- Built a production-grade LLM pipeline to automate multi-step insurance data cleaning and schema alignment.
- Designed and built a full-scale FastAPI + Celery distributed processing system.
- Created a 12-step AI pipeline for enterprise insurance data standardization.
- Integrated Azure AI Foundry for deterministic LLM-based data cleaning.
- Developed enterprise-level SharePoint integration.
- Optimized performance, monitoring, and developer experience.
- Implemented Infrastructure-as-Code with Terraform
Jul 2024 - Jul 2025
1 year 1 month
- Built backend solutions and APIs for AI model training and real-time processing.
- Built RESTful APIs with Flask and Python that integrate with a Node.js-based orchestration layer.
- Enabled seamless communication between AI services, microservices, and the React frontend.
- Trained transformer models like BERT to analyze CVs.
Mar 2023 - Jul 2024
1 year 5 months
- Developed backend, scraped data, built APIs, automated tasks, and managed deployments with Docker and databases.
- Scraped academic data from non-API websites and built web apps with Django and ReactJS.
- Designed RESTful APIs.
- Automated tasks using Python and Bash.
- Deployed applications via Docker.
- Configured Nginx with SSL.
- Managed PostgreSQL and MongoDB.
- Ensured code quality with Git, TDD, and Pytest while supporting responsive front-end integration with HTML and CSS.
Mar 2023 - Dec 2023
10 months
- Developed NLP algorithms and ML models to analyze Covid-19 disinformation on Telegram.
- Extracted meaningful information from unstructured text data.
- Implemented machine learning and deep learning techniques for sentiment analysis, topic classification, and named entity recognition.