Résumé    

Experience

Citigroup Wholesale Credit Risk Analysis Stress Testing - Rutherford, NJ

Application Developer (Full-Time) August 2025 – Present

• Led development of a SQL agent with controlled access to model files for faster retrieval and analysis
• Supported the development of ML models to analyze model output data and support forecasting and validation workflows
• Built and fixed features for forecast processing models supporting regulatory and internal stress testing programs, like CCAR
• Helped build an automated testing platform for the Quantitative Risk Library to improve developer testing efficiency
• Contributed to a low-code/no-code framework that allows Citi teams to build custom AI LLM agents
• Owned memory and context design for the agent platform, including short- and long-term memory based on research and best practices, among many other core features across orchestration, synthesis, retrieval, MCP, and agent workflows

Scalata - New York, NY

Senior Software Engineer (Full-Time Role) February 2025 – August 2025

• Lead restructuring planning and converted the whole front end from React + Sass to NextJS + Tailwind + Shadcn
• Drove codebase cleanup, abstraction, and implementation of scalable best practices
• Integrated Docling + OCR into document ingestion pipeline to replace Azure Document Intelligence, saving $50/1,000 pages
• Developed a high‑performance Spark SQL Generative AI agent in PySpark + Databricks to query Unity Catalog tables
• Engineered an orchestration layer with LangGraph + LangSmith with dynamic fallback strategies, end‑to‑end MLOps tracking, multi‑agent communication, and MLflow for experiment logging
• Coached and mentored a junior engineer to deliver projects across the backend and frontend
• Actively participated in the evaluation and selection of new technologies to improve development processes
• Directed the migration of infrastructure and services from Azure and GCP to AWS, reducing costs and improving scalability

The University of Chicago Department of Psychology - New York, NY

Backend Developer (Part-Time Temporary Role) December 2024 – June 2025

• Developed an online (cloud-based) cognitive tasks system using PHP, Python, MySQL, and JavaScript hosted in AWS
• Lead the translation/integration of a web application into an external Java web application
• Mitigated DDoS attacks by associating the Elastic Beanstalk service with a load balancer and deploying custom AWS WAF rules

Qamous.org

Lead Developer
September 2023 – September 2024

• Designed and built the UI with ReactJS, TypeScript, Sass; developed a backend with NestJS, MySQL, TypeORM, Firebase
• Achieved a 98% Google Lighthouse performance score through dependency optimization, bundle analysis, PostCSS setup, chunk splitting, compression, lazy loading, tree-shaking configuration, Web Workers
• Executed a CI/CD pipeline with automated Jest testing + designed authentication strategy with bcrypt, Express, and Passport.js
• Designed Docker containerization strategy and maintained cloud infrastructure management using Kubernetes
• Planned and executed the deployment strategy using AWS: Leveraged ECR and ECS for backend and database deployment + ensured secure API access via ALB with HTTPS + integrated Amazon EFS and S3 for scalable logging and data backup
• Scraped data for 3k terms; implemented RESTful APIs; integrated React Query for seamless front-to-back data communication
• Migrated from CRA to Vite, cutting server startup time by 12.9x (1.2s vs 15.5s) + enabling near-instant HMR for rapid iteration
• Engineered a RAG-based LLM chatbot using LangChain vector embeddings, integrating multiple models (Groq, Gemini, OpenAI) with TypeORM for contextual retrieval from SQL database, improving answer accuracy by over 25% + supporting multilingual responses with automatic source citations

eClinical Solutions - New York, NY

Full Stack Software Engineer (AI/ML Team)
December 2022 - September 2023

• Integrated and deployed AWS S3 AI/ML models, performed SQL migrations, and optimized query performance by 10%
• Applied OOP principles and .NET front-end development expertise to resolve over 15 complex bugs within tight deadlines using Angular and TypeScript, reducing overall system downtime and enhancing user experience
• Designed and implemented over 20 new features based on market research and collaborated in an Agile Scrum framework
• Developed and maintained backend APIs, executed software restructuring, and drove implementation of key features using C#

Columbia University - New York, NY

Application Systems Developer (Part Time)
June 2022 - December 2022

• Performance-tuned the Directory of Classes system and developed a new system, decreasing update runtime by 83% using C
• Tested the performance and reliability of the new system using python and bash, contributing to the system’s data accuracy
• Prepared UNIX shell scripts for end-to-end testing of applications, ensuring system stability for over 4,000 students and staff

Wayfair - Boston, MA

People Analytics Co-op
December 2021 - June 2022

• Selected as Co-op Captain: created and facilitated events for hundreds of co-ops fostering engagement and community-building
• Generated complex analytics SQL queries for Google BigQuery and DataStudio to answer stakeholders and created query writing & optimization resources, allowing less technical employees to dedicate over 25% more time towards client meetings
• Automated various team responsibilities including the processing time reduction for a regular daily operation by 68% using BigQuery and eliminating a 16 hr/month data-extraction task & a 6.25 hr/month employee data cleanup task using Python
• Presented data analyses and insights to leadership and identified enhancements for recruitment and candidate experience
• Programmed a Slack chatbot saving employees valuable hours finding time-sensitive resources

Education

The University of Texas - Austin, TX

M.S. Artificial Intelligence | Cumulative GPA: 4.0
August 2024 - May 2026

• Relevant Coursework:
  • Machine Learning - Classification, Regression, Naïve Bayes, SVMs, HMMs, Statistical Learning Theory, SVD / PCA, MVN, Kernel Methods
  • Reinforcement Learning - Temporal Difference Learning (TD), Monte Carlo (MC), SARSA, Q-Learning, Dynamic Programming, Dyna-Q / Dyna-Q+, Policy Gradients, REINFORCE, Monte Carlo Tree Search (MCTS)
  • Deep Learning - Neural Network Design and Training, Stochastic Gradient Descent (SGD), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNN), Transformers and Attention Mechanisms using PyTorch and Scikit-Learn, Normalization and Residual Connections, Model Overfitting Mitigation, Gradient Computation and Optimization

Northeastern University - Boston, MA

B.S. Computer Science with a concentration in Artificial Intelligence
September 2019 - August 2022

• Resident Assistant: fostered relationship development among over 100 students and planned staff meetings
• Relevant Coursework:
  • Information Retrieval – Retrieval Models: Boolean, Vector Space, BM25, Language Models, Search Engine Architecture, ElasticSearch and Kibana, Indexing and Query Optimization, Web Crawling and Link Analysis (PageRank, HITS, SALSA), Text Classification and Feature Engineering, IR Evaluation Metrics (Precision, Recall, nDCG, etc.), Learning to Rank (LambdaMART, Pairwise Models)
  • Foundations of Artificial Intelligence – deploying Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) models using PyTorch and Scikit-Learn
  • Machine Learning I – regression, classification, decision trees, hypothesis testing, Naïve Bayes, k-means clustering, k-NN
  • Software Development – Git, JSON, Test-Driven Development, unit testing, GUI testing, pair programming, documentation, abstraction
• Outreach Coordinator, Research Assistant: updated website, migrated professor resources, and analyzed mice dMRI images