AI Engineer | Backend Developer | Data Scientist
📍 Toronto, Canada | 📧 msoltani2001@gmail.com | LinkedIn | Google Scholar
Backend-oriented Python engineer with experience in FastAPI microservices, LLM-powered pipelines, and graph/hypergraph neural networks.
Work spans schema design, API contracts, ML workflows, and production-ready automation.
Author of the research papers that are accepted at CIKM 2025 and ISMB 2024, and delivered projects under strict resource and reliability constraints.
Languages & Frameworks: Python, FastAPI, Django/DRF, Flask, PyTorch, TensorFlow
Data & ML Tools: LangChain, LangGraph, CrewAI, Hugging Face, scikit-learn
Databases: PostgreSQL, MySQL, MongoDB, Neo4j, ChromaDB, Pinecone
Cloud & Compute: Azure ML, SageMaker, Spark/PySpark
Ops & Testing: Docker, GitHub Actions, PyTest
Python API for structured property-listing matching.
- Contract-first design with FastAPI, SQLAlchemy, Pydantic v2
- Enforced <20 MB memory cap using profiling and optimized data flows
- Deterministic matching engine with LLM fallback for ambiguous queries
End-to-end agent for scheduling from Gmail to Google Calendar.
- Integrated OpenAI API, Gmail API, Calendar API, ChromaDB
- Automated scheduling pipeline → reduced manual entry time by 80%
Pipeline to extract product attributes from images.
- Combined EasyOCR for text extraction with fine-tuned BERT
- Reached 86% F1 score on entity prediction
🎓 M.Sc. Computer Science, AI Specialization (4.0 GPA)
University of Windsor, Jan 2024 – May 2025
- Thesis: Hypergraph Modelling using DOSAGE Algorithm
- Courses: Deep Learning, Machine Learning, Data Science, Bioinformatics
- SQL for Data Science (Coursera)
- TensorFlow for Deep Learning Bootcamp (Udemy)
- Apache Kafka for Beginners (Udemy)
- NLP with Python (Udemy)
- GenAI Intensive Course (Google)