Faraz Jawed
AI & Data Consultant at The World Bank, automating portfolio risk reporting across $300B+ AUM. Previously quantitative trading at Barclays, product data science at baraka (YC21), and generative AI safety research with Meta, published in IEEE Access. Duke MS in Data Science.
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I started out combining finance with programming and kept following the part I liked most: using data to answer questions people actually act on. That path went from analyzing market trends to building models that predict user behavior, optimize trading strategies, and stress-test AI safety.
My work spans quantitative finance, machine learning, and generative AI — developing safety frameworks for Meta's text-to-image models, building profitable trading strategies at Barclays, and shipping growth models that moved revenue at an early-stage fintech.
I recently finished a Master's in Data Science at Duke University, specializing in natural language processing, deep learning, and statistical modeling while contributing to AI safety research.
15+ ML projects · 3+ years experience · based in Washington, DC
AI & Data Consultant
Jun 2025 — PresentThe World Bank · Washington, DC
- Engineered LLM-powered autonomous agents on OpenAI and Azure APIs to reconcile global fixed income and derivatives trades, cutting reconciliation errors and manual time by over 40%
- Automated portfolio risk reporting for $300B+ AUM with Python workflows that extract, aggregate, and validate multi-currency exposures across asset classes in minutes rather than hours
- Developing AI-powered solutions for global development initiatives and policy analysis
Python · OpenAI · Azure · Machine Learning · Portfolio Risk
Capstone — Generative AI Safety Team
Aug 2024 — May 2025Meta · Durham, NC
- Co-authored an IEEE Access paper establishing industry benchmarks for text-to-image model safety datasets
- Strengthened Meta's T2I safeguards with adversarial prompts and policy-guided test cases, improving defenses against political misinformation ahead of the 2024 US election
- Built a platform for collecting and annotating culturally sensitive prompts across 10 global geocultures, supporting an open-source cultural safety benchmark
Python · PyTorch · Transformers · LLMs · AI Safety
Quantitative Trading Summer Associate
Jun 2024 — Aug 2024Barclays · New York, NY
- Rotated across flow volatility derivatives trading, electronic FX trading, and systematic credit trading
- Built a clustering algorithm classifying client RFQs into 4 tiers, improving algo hit-rate and quote-rate by 10%
- Predicted hedge-fund client exit timing from FX carry-trade flow, improving average hedging cost
- Shipped a bi-directional RTY strategy on Bloomberg API data with 65% accuracy predicting next-minute log returns
Python · Bloomberg API · SQL · Real-time Analytics
Product Data Scientist, Growth
Jun 2022 — Jun 2024baraka · Dubai, UAE
- Boosted conversions 12% in 6 months using XGBoost to pinpoint high-value user segments from engagement features
- Lifted AUM, net deposits, and funded accounts 35% in 8 months by surfacing customer trends in PostgreSQL and Redshift
- Built CRM and marketing frameworks driving a 33% CPI decrease and 14% MoM growth in daily app users
- Designed the pricing model behind $0.98-per-trade fees, generating the company's first revenue stream
XGBoost · SQL · PostgreSQL · AWS Redshift · Python
PlotVerseXR
XR platform turning raw datasets into immersive 3D visualizations from natural language prompts. Built for Meta Quest so you can walk through data and explore LLM embedding spaces in VR.
Streamlit · OpenAI · Plotly · Blender · Meta Quest
GenAI Safety Research with Meta
Research on text-to-image model safety establishing benchmarks for cultural sensitivity and political misinformation detection, published in IEEE Access alongside an open-source dataset.
Python · PyTorch · Transformers · AI Safety
RAG-Enhanced CLIP for Visual Q&A
Multimodal system pairing CLIP with a retrieval framework for visual question answering, pulling external knowledge from DBPedia and a Chroma vector database for contextually richer answers.
CLIP · RAG · ResNet50 · DistilBERT · Chroma · DBPedia
NBA Live Commentary Generator
Multimodal tool generating live basketball commentary from SportsRadar data with under a second of delay, using a FAISS-vectorized database and GCP text-to-speech. Winner at the Duke Generative AI Hackathon.
OpenAI · SportsRadar API · GCP · FAISS
r/wallstreetbets Sentiment Analysis
Research paper on the correlation between Reddit sentiment and GameStop price action through 2021, finding a 72% time-lagged cross-correlation that points to social media reacting rather than leading.
Python · Reddit API · SQL · NLTK
Food Image Recognition & Q&A
Full-stack app pairing a custom pre-trained food classifier hosted on S3 with Llama for questions on calories and health effects, served from a Rust backend deployed to AWS ECS.
Streamlit · Rust · AWS S3 · Hugging Face · Docker
Lessons from large-scale dataset auditing with Meta's GenAI Safety team.
Jan 2025 · 5 min
Combining retrieval, vision, and language for better answers.
Jan 2025 · 6 min
Data Science & ML
XGBoost, TensorFlow, Scikit-learn, Deep Learning, Hugging Face, LLMs, Generative AI, NLTK, Statistical Modeling, Time Series Analysis, Econometrics
Engineering & Cloud
Python, R, SQL, Rust, Kotlin, AWS (S3, ECR, ECS, Lambda), Azure Databricks, GCP, Spark, PySpark, FastAPI, Docker, GitHub Actions
Financial Technology
Algorithmic Trading, Derivatives Pricing, Risk Management, Bloomberg API, Real-time Analytics, Backtesting, Portfolio Optimization, Volatility Modeling
Visualization & Reporting
Tableau, PowerBI, Metabase, Streamlit, PostgreSQL, AWS Redshift, Snowflake, Google Analytics 4, Firebase
Automation
N8N Automations