About
Experience
Projects
Contact

Portrait photo

Meenakshi Madhu

Software Engineer

Software engineer with 2+ years of experience building scalable systems and intelligent applications that solve real-world problems.

View My Work View Resume

About Me

My work spans engineering distributed Spark pipelines in high-volume financial systems, building AI-driven forecasting models, and shipping production-ready mobile applications.

I enjoy understanding systems deeply, how data flows, where edge cases break, and how users actually behave, then building solutions that are clean and intentional.

Outside Tech

I love exploring new cultures through travel and food, experimenting in the kitchen, and practicing Indian classical music, which I have trained in for over a decade. I enjoy cozy, clever games, productivity hacks, and finding ways to make everyday life more thoughtful and intentional.

At my core, I am curious, structured, and ambitious. I believe in doing things well, learning constantly, and building work I am genuinely proud of.

Work

Software Development Engineer Intern

The Buku App

Jul 2025 - Dec 2025

Software Development Engineer

Citibank

Jul 2022 - Jul 2024

Education

M.S. Computer Science

New York University

2024 - 2026

B.Tech. Computer Science

National Institute of Technology Calicut

2018 - 2022

Skills

Languages

PythonJavaCC++JavaScriptTypeScriptSQLSwift

Machine Learning & AI

PandasNumPyMatplotlibScikit-LearnXGBoostTensorFlowPyTorchKeras

Cloud & DevOps

AWSGCPDockerKubernetesFirebaseCI/CDLinux/UnixApache SparkElasticSearchGitGitHub Actions

Frameworks and Databases

Spring BootDjangoReactNode.jsPostgreSQLMySQLMongoDB

Software Design

System DesignObject-Oriented ProgrammingMicroservices ArchitectureDesign PatternsREST APIsAgileGit (Version Control)

Experience

Software Development Engineer

Citibank

Engineered distributed ETL pipelines with Apache Spark, Java, and Oracle SQL to process high-volume financial transactions, modernized legacy batch processes into REST APIs, and drove system maintainability through code reviews and technical documentation.

Apache SparkJavaOracle SQLREST APIsGit

Jan 2025 -Present

Student Researcher

NYU ML for Energy Commodity Markets

Designed and optimized deep learning time-series models (ESNN, RNN, LSTM, GRU, Attention) to forecast next-day oil prices from macroeconomic data, improving predictive accuracy and model stability.

PythonTensorFlowPyTorch

Jan 2025 - Present

Student Researcher

NYU Sixth Sense

Working with an interdisciplinary research team at NYU to develop wearable assistive technology to promote safe autonomous mobility among the visually impaired.

Jul 2025 - Dec 2025

Software Development Engineer Intern

The Buku App

Built and launched a production-ready iOS marketplace app using Swift and Firebase, implementing secure authentication, real-time data synchronization, and payment integration, supporting 70+ active users while maintaining a clean, scalable codebase.

SwiftFirebaseiOS DevelopmentStripe Payment IntegrationGit

May 2021 – Jul 2021

Software Developer Technology Analyst Intern

Citibank

Developed and deployed Java Spring Boot microservices with a JavaScript dashboard to monitor critical financial systems in real-time, reducing issue identification time by 40% for internal teams.

JavaJavaScriptREST APIsMicroservices

View Full Resume

Projects

Collaborative Code Editor

Designed and deployed a real-time collaborative code editor using CRDTs (Yjs), WebSockets, and AWS cloud infrastructure, enabling scalable, fault-tolerant multi-user editing with low-latency synchronization.

Node.jsYjsWebSocketsAWSDocker

AI Restaurant Concierge Chatbot

Engineered a serverless backend system on AWS (Lambda, DynamoDB, SQS, Elasticsearch) to process and respond to user queries in real time, demonstrating cloud-native application design and scalable data pipelines.

AWS LambdaDynamoDBSQSElasticsearch

PCOS Detection using Machine Learning Models

Built end-to-end ML pipeline for clinical diagnosis, comparing Random Forest, XGBoost, and SVM classifiers with hyperparameter tuning (GridSearchCV) and feature importance analysis, achieving 87.9% accuracy.

PythonScikit-LearnXGBoostSVMGridSearchCV

WealthWise Personal Finance Tracker

Architected and deployed a containerized full-stack personal finance application using Django, PostgreSQL, and Docker, implementing RESTful APIs and a mock CI/CD pipeline to enable automated testing and streamlined deployment.

DjangoPostgreSQLDockerRESTful APIs

Let's connect!

I live in New York City, NY, USA. Let's grab some coffee if you are around here!

I'm always open to discussing new projects, creative ideas, or opportunities to be part of something great.

LinkedIn

Connect with me

GitHub

Check out my code

Email

Drop me a line