# Maryam Akbarpour

> Software Engineer (Data & ML) | ML Systems & Data Infrastructure | Portfolio Management @ Graham Capital Management

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/maryamakbarpour

Experienced Software Engineer (Data & ML) with 2+ years of hands-on experience building scalable data systems and machine learning solutions.

Currently working in the Portfolio Management team at Graham Capital Management, where I design and optimize data pipelines, improve system reliability, and experiment with strategies to make data workflows more robust and efficient.

📌 Some highlights of my work include:
• Fine-tuned transformer models using LoRA to generate structured, explainable risk narratives, reducing manual review time for underwriters.
• Designed a Retrieval-Augmented Generation (RAG) pipeline to produce grounded, explainable risk narratives, reducing manual review time for underwriters.
• Built and deployed a FastAPI service that returned JSON risk reports with error handling and configuration- driven parameters.
• Built a scoring algorithm using causal inference and regression to evaluate waste contractors based on 100K+ monthly citizen reports.
• Trained CNNs with pruning and transfer learning to achieve 91%+ precision on image classification tasks.
• Engineered Spark ML pipelines for processing 10GB+ Stack Overflow XML data, leading to improved topic tagging and retention predictions (87% precision).
• Created a social graph from named entities using NER and network analysis (PageRank, centrality).

I thrive in cross-functional teams, collaborating with engineers, analysts, and stakeholders to align business goals with scalable ML/AI systems. I'm passionate about using AI to uncover insights, drive impact, and tackle complex, meaningful challenges.

🚀 I get excited about roles where I can:
• Apply cutting edge machine learning to prediction, risk modeling, behavior analysis, and recommendation systems
• Combine data engineering, AI, and human-centered design to build impactful, intelligent products

🛠 Technical Skills & Tools:
Data Processing and Visualization (Pandas, Matplotlib, Plotly), Numerical Computation (NumPy), Machine Learning (Scikit-Learn), Deep Learning (TensorFlow, PyTorch), Natural Language Processing (NLTK), Big Data Technologies (PySpark, Hadoop), Cloud platform (Google Cloud Platform), Large Language Models (Hugging Face Transformers)

🎓 I hold an M.Sc. in Computer Science (Data Science concentration) from UMass Amherst, and completed a Data Science Fellowship at The Data Incubator. I also earned a B.Sc. in Computational Engineering Science from the University of Tehran, where I focused on computational algorithms and optimization. I'm deeply interested in the intersection of tech and society.

## Work Experience
### Software Engineer (Data & ML), Portfolio Management @ Graham Capital Management, L.P.
Jan 2026 – Present | Norwalk, CT

### Machine Learning Engineer @ Riskify, Inc.
Jan 2023 – Jan 2024 | New York, New York, United States
• Designed and implemented end-to-end data pipelines to aggregate and normalize geospatial risk datasets from multiple public sources, creating address-level features used in underwriting analysis.
• Built and optimized ML-based risk scoring models (CatBoost, XGBoost), improving regional hazard score accu- racy by 15% and enabling transparent, auditable underwriting decisions.
• Designed a Retrieval-Augmented Generation (RAG) pipeline to produce grounded, explainable risk narratives, reducing manual review time for underwriters.
• Built a FastAPI service to deliver JSON risk reports with configurable parameters and error handling.

### Researcher - Data Scientist @ Transparency & Smart City Group
Jan 2018 – Jan 2019 | Tehran, Tehran Province, Iran
• Used data science to improve transparency and support data-driven decision-making.
• Analyzed 25K+ financial contracts, uncovering discrepancies and boosting fraud detection.
• Coordinated 30+ stakeholder meetings, helping translate data insights into clear recommendations for decision-makers.


## Education
### Master of Science - MS in Computer Science - Concentration in Data Science
University of Massachusetts Amherst

### Bachelor of Science (BS) in Engineering Science - Computational Engineering Science
University of Tehran


## Contact & Social
- LinkedIn: https://linkedin.com/in/maryam-akbarpour
- Portfolio: https://calendly.com/akbarpour-maryam/15

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Source: https://flows.cv/maryamakbarpour
JSON Resume: https://flows.cv/maryamakbarpour/resume.json
Last updated: 2026-04-13