PerfectPitch
AI-powered platform designed to provide tailored feedback, script assistance, and a performance score for personalized interview preparation.
Hey, I am Zaeem !
AI Engineer at Marriott · UMass Amherst CS
CS grad from UMass Amherst. Interned at Microsoft (Health & Life Sciences) and Marriott International (Enterprise Products). Worked with 2 research labs as an undergrad.
Experience
Software Engineer Intern
Microsoft
- Worked with the Health and Life Sciences team to build a cloud-based assistant that automates diagnostic radiology workflows.
- Built an AI radiology assistant using FastAPI, GPT-5.1, and spaCy, automating finding extraction and reducing report time by 80%.
- Engineered DuckDB vector search mapping findings to 2,150+ codes, eliminating manual lookup for medical documentation.
Software Engineer Intern
Marriott International
- Built an internal chatbot in Microsoft Power Apps that converts natural language to SQL via GPT-4, built on a Power BI semantic layer.
- Executed auto-generated SQL across 7 domains in Snowflake with RBAC and audit logs, returning results with sub-15-second latency.
- Delivered actionable, SQL-transparent data insights with 86% accuracy, logging lineage and metadata in Azure for auditability.
Software Development Extern
Snap Inc.
- Designed a soccer-themed AR lens incorporating Snap's Lens Studio and 3D modeling, certified by Snap Inc.'s Head of Entertainment.
- Launched a Snapchat lens inspired by Reebok and soccer, compatible with iOS and Android, gathering views from 100+ countries.
- Conducted data-driven market research in sports and technology using Tableau and MySQL, enhancing data visualization by 30%.
Data Science Intern
Neftwerk
- Designed and sorted data from CSVs to Attio dashboards to improve client information accuracy and operational efficiency by 60%.
- Leveraged Attio's REST API to implement filtering and pagination, optimizing data retrieval by 30% and enhancing user experience.
- Engineered Python automation for Excel-to-CSV pipeline, leveraging Git version control to optimize Attio dashboard data processing.
AI and LLM Research Intern
Center for Intelligent Information Retrieval
- Built an LLM personalization platform using AWS and vLLM; rotated OpenRouter models like Claude 3.5 to analyze user preferences.
- Captured 100 preferences per user in DynamoDB and streamed them to a DPO pipeline, improving the personalization benchmark.
ML Research Intern
University of Massachusetts Amherst
- Optimized a CNN for ASL recognition, achieving a 97% F1 score through data augmentation and additional convolutional layers.
- Utilized ResNet pre-trained models to enhance accuracy to 98% and reduce overfitting, improving generalization on unseen data.
- Enhanced model robustness in Keras with batch normalization and the Image Data Generator for consistent validation performance.
Projects
Each project has a link to my GitHub code. Feel free to look at the quick video demos or check out the code.
LeetBank
Web-based platform designed to help you store, annotate and manage your LeetCode questions efficiently.
Uber Data Pipeline
A scalable pipeline using Python, GCP, Mage.ai, and BigQuery to process NYC Uber trip data, automating ETL and delivering insights via Looker Studio.
PomoPay
A Pomodoro-based productivity app that sets weekly goals, links payments to accountability, and boosts focus with secure Stripe integration.
Sonar Data Classification
Developed a sonar signal classification model to distinguish between "Rock" and "Mine" signals using XGBoost.
Olympic Medal Predictor
Predictive analytics project designed to forecast Olympic medal counts using historical data and machine learning models.
Let's talk
Have a role, project, or idea in mind? Send a note — I usually reply within a day or two.