Hi, I'm Faraz Jawed

ML/AI Engineer and Data Scientist

Currently a AI and Data Consultant at The World Bank

I transform complex data into actionable insights and build intelligent systems that drive business growth. Duke University graduate with a Master's in Data Science, specializing in AI safety research and quantitative finance applications. Currently developing AI-powered solutions for global development initiatives.

Faraz Jawed

About Me

With expertise spanning quantitative finance, machine learning, and generative AI, I bridge the gap between cutting-edge technology and real-world business solutions. My work has generated millions in revenue, improved trading algorithms by 10%, and enhanced user experiences for thousands of customers.

From developing AI safety frameworks for Meta's Llama models to creating profitable trading strategies at Barclays, I thrive on solving complex problems with innovative data-driven approaches.

My Journey

From Finance to AI Innovation

Started my career combining finance expertise with programming skills, quickly discovering the power of data science to solve real business challenges. Over the past few years, I've evolved from analyzing market trends to building sophisticated ML models that predict user behavior, optimize trading strategies, and ensure AI safety.

My passion lies in creating intelligent systems that don't just process data, but generate meaningful insights that drive strategic decisions. Whether it's identifying high-value customer segments or developing low-latency trading algorithms, I focus on solutions that deliver measurable impact.

Recently completed my Master's in Data Science at Duke University, where I specialized in natural language processing, deep learning, and statistical modeling while contributing to cutting-edge AI safety research.

15+
ML Projects
3+
Years Experience

Skills & Technologies

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

Work Experience

Building impactful solutions across AI safety, quantitative finance, and product growth

AI & Data Consultant
The World Bank
Washington, DC
Jun 2025 – Present
AI/ML and Data
  • Engineered LLM-powered autonomous agents leveraging 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 by designing Python workflows that extract, aggregate, and validate multi-currency exposures across asset classes in minutes, not hours
  • Developing AI-powered solutions for global development initiatives and policy analysis
  • Collaborating with international teams on data-driven development projects
Python
OpenAI
Azure APIs
Machine Learning
Portfolio Risk Management
International Development
Capstone Project - Generative AI Safety Team
Meta
Durham, NC
Aug 2024 – May 2025
  • Co-authored IEEE Access paper establishing industry benchmarks for text-to-image (T2I) model safety datasets
  • Evaluated and strengthened Meta's T2I model safeguards by developing adversarial prompts and policy-guided test cases, directly improving defenses against political misinformation and harmful content ahead of the 2024 US Election
  • Built and launched a platform for collecting and annotating culturally sensitive prompts from 10 global geocultures, supporting the creation of an open-source benchmark dataset to improve cultural safety in GenAI systems
Python
PyTorch
Transformers
LLMs
AI Safety
Quantitative Trading Summer Associate
Barclays
New York City, NY
Jun 2024 – Aug 2024
Finance
  • Rotated across Flow volatility derivatives Trading (equities), Electronic FX trading and Systematic Credit Trading
  • Developed clustering algorithm to classify incoming client RFQs into 4 tiers, improving algo hit-rate and quote-rate by 10%
  • Analyzed carry trades based on FX client flow to predict exit timing from hedge-fund clients, improving average hedging cost
  • Created low-latency interactive dashboard monitoring market flows and notifying team of possible exit trades
  • Built bi-directional strategy for RTY (Russell 2000 index) using technical indicators and Bloomberg API, achieving 65% accuracy in predicting next minute log returns
Python
Bloomberg API
SQL
Real-time Analytics
Algorithmic Trading
Product Data Scientist (Growth Squad)
Baraka Financial Limited (YC21)
Dubai, UAE
Jun 2022 – Jun 2024
Product
  • Boosted conversions by 12% in 6 months using XGBoost to pinpoint high-value user segments through engagement features
  • Identified key customer trends using SQL (PostgreSQL and AWS Redshift), improving KPIs (AUM, Net Deposits, Cumulative Funded Accounts) by 35% in 8 months
  • Developed CRM and marketing frameworks, achieving 33% CPI decrease and 14% MoM increase in daily app users
  • Pioneered comprehensive pricing model implementation, enabling $0.98 per trade fees and generating company's inaugural revenue stream
XGBoost
SQL
PostgreSQL
AWS Redshift
Python
Analytics

Featured Projects

A selection of projects showcasing full-stack development, AI/ML, and research capabilities

PlotVerseXR - Immersive Data Visualization Platform
PlotVerseXR - Immersive Data Visualization Platform
Revolutionary XR platform that transforms raw datasets into immersive 3D visualizations using natural language prompts. Built for Meta Quest, enabling users to walk through data and explore LLM embedding spaces in virtual reality.

Key Highlights:

  • Natural language to 3D visualization conversion
  • Immersive XR data exploration on Meta Quest
  • Spatial LLM embedding visualization
  • 24-hour hackathon development
Streamlit
OpenAI
Plotly
Python
Blender
Meta Quest
XR
Generative AI Safety Research - Meta Collaboration
Generative AI Safety Research - Meta Collaboration
Industry-leading research on text-to-image model safety, establishing benchmarks for cultural sensitivity and political misinformation detection. Published in IEEE Access with open-source dataset for global AI safety improvement.

Key Highlights:

  • IEEE Access publication
  • Industry benchmarks for T2I safety
  • 10 global geocultures analysis
  • Open-source safety dataset
Python
PyTorch
Transformers
AI Safety
Research
Cultural Analysis
RAG-Enhanced CLIP for Visual Question Answering
RAG-Enhanced CLIP for Visual Question Answering
Advanced multimodal AI system integrating CLIP with RAG framework for sophisticated visual question answering. Combines computer vision and NLP with external knowledge retrieval using DBPedia and Chroma vector database for contextually rich responses.

Key Highlights:

  • Multimodal learning with shared embedding space
  • External knowledge integration via DBPedia
  • Contrastive learning optimization
  • Real-world applications in education & healthcare
CLIP
RAG
ResNet50
DistilBERT
OpenAI GPT
Chroma
DBPedia
Python
NBA Live Commentary Generator
NBA Live Commentary Generator
Multimodal AI tool generating live basketball commentary using SportsRadar API, OpenAI, and GCP text-to-speech. Winner at Duke Generative AI Hackathon.

Key Highlights:

  • <1s delay with FAISS vectorized database
  • Real-time sports data integration
  • Hackathon winner
  • Multimodal AI implementation
OpenAI API
SportsRadar API
GCP
FAISS
Python

Latest from My Blog

Sharing insights on AI, data science, and quantitative finance

AI Safety
5 min read1/6/2025
Lessons from Large-Scale Dataset Auditing with Meta's GenAI Safety Team
Multimodal AI
6 min read1/6/2025
How I Combined Retrieval, Vision, and Language for Next-Level Answers

Let's Work Together

Have a data science project or AI challenge? I'd love to discuss how we can turn your data into actionable insights and business value.