I'm a Computer Science graduate student at NYU Tandon, passionate about building scalable systems and leveraging AI to solve complex problems. With 2+ years of professional experience, I specialize in distributed systems, big data processing, and full-stack development.

[*] Based in Jersey City, NJ
[@] Reach me at: adityaajhaveri@gmail.com
[>>] LinkedIn | Portfolio | Kaggle

• Building SAAS tools in JavaScript for NYU Admissions department
• Architecting cloud-native solutions with Google Cloud Platform
• Exploring advanced AI/ML techniques for real-world applications

Feb 2025 - Present

• Migrated 1000+ records to NoSQL Firestore and Google Cloud SQL
• Improved data retrieval speed by 50% using Google Sheets API
• Engineered concurrency-safe systems with 100% consistency

July 2022 - May 2024

• Optimized microservices with Apache Kafka (50% time complexity reduction)
• Implemented HDFS for 3B+ daily records (37% performance improvement)
• Designed custom data adapters handling 2B+ rows from BigQuery
• Mentored 4 university interns on system architecture

Jan 2022 - June 2022

• Achieved 78% accuracy in grassland classification using Python
• Improved satellite image labeling speed by 80% with QGIS automation
• Performed CRUD operations on 10K+ shapefiles using GeoPandas

May 2020 - June 2020

• Developed forecasting models identifying 10+ customer demand trends with R² scores closer to 0.9
• Achieved R² scores of 0.98, 0.91, and 0.85 for squared, absolute, and infinite loss functions in linear regression
• Collaborated with team of 4 peers to deliver comprehensive presentation on customer demand forecasting

Master of Science in Computer Science | NYU Tandon School of Engineering
Sep 2024 - May 2026
Coursework: Algorithms, Big Data, Options Pricing, Search Engines

Bachelor of Engineering in Computer Science | BITS Pilani
Aug 2018 - July 2022 | Minor in Data Science
Coursework: Data Mining, Deep Learning, Machine Learning, NLP

Languages: Java, Python, JavaScript, C++, SQL, Bash, HTML5/CSS

Frameworks & Tools: SpringBoot, Kafka, Hadoop, Spark, React, Docker, Git, AWS, GCP

AI/ML Libraries: TensorFlow, Keras, NumPy, Pandas, SciPy, Qdrant, OpenCV

Databases: PostgreSQL, MySQL, MongoDB, Google BigQuery, Apache Hive/Pig

Dev Tools: Postman, IntelliJ, Jupyter, PyCharm, JIRA, VS Code

A secure Python code execution service running inside a sandboxed environment.

• Uses nsjail to safely execute untrusted scripts
• Docker-containerized and deployed on Google Cloud Run
• Supports numpy and pandas with stdout + return value capture

Real-time stock price analytics microservice using FastAPI, Kafka, and PostgreSQL

• 40% improvement in data processing scalability
• 25% reduction in average API response time
• Event-driven architecture with Finnhub SDK integration

Advanced AI implementations covering multiple domains

• Anomaly Detection (PatchCore, Efficient-AD, SimCLR)
• Similarity Search with Qdrant
• PDDL-based LLM routing via OpenRouter API
• Polynomial Regression & Information Theory applications

Automated coupon generation and redemption system

• Generated 500+ Apple Wallet coupons using Google Apps Script
• PassKit API integration for seamless redemption
• 40% boost in operational efficiency

Donation management web application

• Built with Thymeleaf, Spring Boot, and MySQL
• Optimized database queries improving engagement by 30%
• RESTful API design for donation tracking

• [#1] Ranked 1st among peers for grassland classification accuracy (78%)
• [^] Scaled distributed systems processing billions of records daily
• [+] Achieved 30-50% performance improvements in production systems
• [*] Mentored interns and contributed to team knowledge sharing
• [~] Developed forecasting models with R² scores up to 0.98 at PayPal

I'm always interested in collaborating on projects involving AI/ML, distributed systems, or big data. Feel free to reach out!

• [@] Email: adityaajhaveri@gmail.com
• [>>] LinkedIn: Connect with me

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