<Hello World />
Aditya Jhaveri

Aditya Jhaveri

Software Engineer | AI/ML Enthusiast | Distributed Systems Developer

Every Computer Science journey begins with Hello World. Mine began with Age of Empires, learning strategies and problem-solving before writing my first line of code. Today, I’m a Computer Science graduate student at NYU Tandon with 2+ years of experience building scalable systems and leveraging AI to solve complex problems. I specialize in distributed systems, big data processing, and full-stack development.

Get In Touch View GitHub

< About Me />

2+ Years

of Professional Software Engineering Experience

3B+
Records Managed via HDFS
5+
Microservices Integrated with Kafka
30%
Faster Data Extraction
20%+
System Performance Gain @ NYU

< Professional Experience />

Software Developer

New York University
Feb 2025 - Present
  • Engineered a concurrency-safe form delivery system, leading to a 40% reduction in failure retries and 100% consistency in sent records
  • Designed and implemented a Gmail-like Rich Text Editor using HTML, CSS, and JavaScript, boosting email template efficiency by 45%
  • Built a GitLab-style label-based filtering system, optimizing navigation for 2,000+ records
  • Enhanced data retrieval speed by 50% in Google Apps Script by shifting from service functions to Sheets API on Google Cloud Console
  • Architected a proof of concept for migrating 1000+ records from Google Sheets to NoSQL FIRESTORE and Google Cloud SQL, improving data accessibility and security

Software Development Engineer

Sainapse
July 2022 - May 2024
  • Optimized file transfer processes with Apache Kafka achieving 50% reduction in time complexity
  • Implemented HDFS for storing 3 billion+ daily records using Apache Hive and Pig
  • Designed custom data adapter for transferring 2B+ rows from Google BigQuery
  • Accelerated data extraction from XLSX/DOCX files by 30% using Apryse Java SDK
  • Mentored 4 university interns on product system architecture

Data Science Intern

AiDash
Jan 2022 - June 2022
  • Investigated LANDSAT classification with ResNet models achieving 75% accuracy
  • Ranked 1st among peers with 78% accuracy in grassland classification
  • Sped up manual labeling of satellite images by 80% on QGIS
  • Performed CRUD operations on 10K+ shapefiles using GeoPandas

Data Analyst Intern

PayPal
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
  • Collaborated with team of 4 peers to deliver comprehensive presentation on customer demand forecasting

< Featured Projects />

Market Data Service

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
View Code

AI Project Suite

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
View Code

Apple Wallet Coupon System

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
View Code

Welcome Home

Donation management web application

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

< Technical Skills />

Languages

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

Frameworks & Tools

SpringBoot, Kafka, Hadoop, Spark, Maven, React, Docker, Git, AWS, GCP

AI/ML Libraries

TensorFlow, Keras, NumPy, Pandas, SciPy, Qdrant, OpenCV

Databases

PostgreSQL, MySQL, MongoDB, Google BigQuery, Apache Hive/Pig, JPA Hibernate

Dev Tools

Postman API, Thrift, IntelliJ, Jupyter Notebook, PyCharm, JIRA, VS Code, QGIS

< Education />

Master of Science in Computer Science

New York University - Tandon School of Engineering

Sep 2024 - May 2026

Coursework: Algorithms, Big Data, Options Pricing and Stochastic Calculus, Search Engines

NYU Transcript

See the graduate-level coursework, grades, and milestones that define my Tandon journey.

Bachelor of Engineering in Computer Science

Birla Institute of Technology and Science, Pilani

Aug 2018 - July 2022 | Minor in Data Science

Coursework: Data Mining, Deep Learning, Machine Learning, Natural Language Processing

BITS Transcript

Explore the foundational CS curriculum, electives, and achievements from my undergraduate years.

< Let's Connect! />

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

[@] [email protected]
[>>] LinkedIn
[</>] GitHub
[*] Jersey City, NJ

< Resume />

Preview my latest experience right here on the site or grab a copy to review later.

open docs/resume.pdf · updated 2025

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Contact Me

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