Aditya Chavan

I build systems that stay useful at scale.

I’m Aditya, a Software Engineer at Walmart Global Tech and an AI builder working across distributed systems, systems architecture, data platforms, intelligent tooling, and applied research.

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Aditya Ramesh Chavan
New York CityDistributed systems · Applied AI

Built on fundamentals.
Driven by useful problems.

I’m a software engineer who learns best by building. My computer science background gave me strong foundations in data structures, algorithms, operating systems, networking, and information security. I use those fundamentals to design software that is efficient, dependable, and secure.

My perspective has grown through production engineering, academic research, competitions, and projects across AI, data, and connected systems. I stay curious by reading technology publications, books, blogs, and listening to long-form conversations about engineering and entrepreneurship.

What motivates me most is noticing problems people encounter in everyday life and finding sustainable ways to solve them. That instinct has shaped many of my projects and continues to guide the work I want to do as computing becomes more deeply embedded in daily life.

My regular rotation includes The Verge, Mashable, TechCrunch, Machine Learning Street Talk, How I Built This, Business Wars, and Entrepreneurs on Fire.

Skills and tools

A hands-on toolkit spanning application and architecture engineering, distributed data systems, machine learning, cloud infrastructure, and delivery.

Languages & application
Python, Java, JavaScript, TypeScript, R, C, Kotlin, Node.js, Django, Spring, FastAPI, Flask, Express, HTML, CSS, Angular
Data & architecture
Hadoop, Dask, PySpark, Databricks, Tableau, GraphQL, architecture design
Machine learning & generative AI
Scikit-learn, PyTorch, SciPy, Hugging Face, LangChain, LangGraph, Model Context Protocol (MCP), Stable Diffusion, Llama
Datastores & messaging
MySQL, PostgreSQL, BigQuery, Cosmos DB, Redis, Memcached, Kafka, ActiveMQ, DynamoDB, Elasticsearch
Cloud & observability
AWS Kinesis, Rekognition, Lambda, Lex, SQS, SNS, Splunk, OpenObserve, Grafana, Prometheus, Kubernetes, Dynatrace
Delivery & methodology
Docker, Git, Jenkins, JUnit, Cucumber, Agile, Scrum

Experience that compounds.

Industry-scale engineering, academic research, teaching, and entrepreneurship—each chapter adds another way to reason about complex systems.

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  1. Walmart Global Tech

    Software Engineer III

    Engineering high-throughput, Tier 0 services for Walmart’s Stores, Associates & Platforms organization.

    • Build data ingestion pipelines processing 150 million daily events for 1.6 million associates.
    • Designed Kafka-based, multi-layer asynchronous services deployed across regions for 10,000+ stores.
    • Reduced database query execution time by 25% while leading application and cloud-cost optimization.
    • Built LLM proofs of concept and Model Context Protocol (MCP) servers from the ground up for Workforce Management applications, exposing task generation, assignment, and prioritization capabilities to agentic systems.

    Java · Kafka · Kubernetes · GraphQL · Spring · Python · LangChain · Cosmos DB · Memcached · Prometheus · Grafana · OpenObserve · GCP · Azure

  2. NYU Center for Neural Science

    Research Software Engineer

    Developed optimized Python pipelines for functional neuroimaging analysis using GLM and compressive spatial summation techniques.

    Processed and mapped population receptive fields from NIfTI, GIfTI, and fMRI data using Nibabel and Nilearn, supporting research into visual stimulus representation in the brain.

    Python · MATLAB · HPC · PyTorch · SciPy

  3. NYU Courant

    Graduate Teaching Assistant

    Led recitations and supported students across calculus, mathematical finance, and linear and nonlinear optimization.

    Created quizzes and worksheets, held office hours, and graded assessments while adapting complex mathematical concepts to individual student needs.

  4. Aleria

    Software Engineer

    Engineered a secure, data-driven DEI SaaS platform and migrated its stack to AWS, improving resilience and uptime to 99%.

    Built and containerized Django applications, integrated Twilio messaging, and worked with AWS Solutions Architects through the Techstars AWS CTO Fellowship.

    Python · Django · Docker · AWS Lambda · RDS · ECS · Elastic Beanstalk

  5. NYU Stern

    Graduate Research Assistant

    Built backend services and APIs for SCORM-compatible learning experiences integrated with NYU’s LMS.

    Worked across Node.js, Python, GCP, and AWS, and served as a teaching fellow for Data-Driven Decision Making at NYU Stern and NYU Shanghai.

  6. Tata Consultancy Services

    Software Development Engineer

    Built employee-management and notification services used by approximately 500,000 enterprise users.

    Developed Microsoft Teams integrations, an Angular and Spring subscription dashboard, and cloud migration and CI/CD improvements. Received a Spot Award for outstanding contributions.

    Python · Node.js · Angular · Java · Spring · PostgreSQL · Redis · Azure

  7. Technovedas

    Instructor & Co-Founder

    Co-founded a programming education initiative, created Moodle courses and training materials, and conducted workshops for school and college students.

  8. JAARS TECH

    Developer & Co-Founder

    Delivered free Moodle and Open edX systems to under-equipped institutes during the pandemic and trained 100+ administrators.

  9. 7vachan

    Software Developer

    Built and deployed a Django booking platform with advanced filters, authentication, admin tooling, remarketing integrations, and Nginx on DigitalOcean.

Education that shaped the work.

Formal study across computer science, distributed systems, AI, and security—paired with research, technical communities, and practical building.

New York University

Master of Science, Computer Science

Merit Scholarship · Master’s thesis in blockchain scaling

  • Participated in BUGS, NYU’s open-source club, and Tech@NYU, a community for artists, makers, and hackers.
  • At Casa Italiana, organized and promoted cultural events, managed digital content, and co-created an AWS-hosted virtual experience exploring the history of Italian poetry.
Selected coursework

Design and Analysis of Algorithms, Cloud Computing, Big Data Systems, Machine Learning, Blockchain and Distributed Ledger Technology, Information Security and Privacy, Practical Software Engineering, Venture Capital Financing

University of Mumbai

Bachelor of Engineering, Computer Science Engineering

Merit Scholarship

  • Led hackathon teams to multiple victories across college and industry events.
  • Co-organized the college’s first hackathon and organized technical talks, workshops, and networking events.
Selected coursework

Data Structures and Algorithms, Advanced Algorithms, Operating Systems, Computer Networks, Database Systems, Artificial Intelligence and Machine Learning, Natural Language Processing, Cryptography and System Security

Systems, products,
and experiments.

Three notes from the work, followed by 18 projects spanning generative AI, streaming data, cloud software, and connected hardware.

View all writing
Editorial illustration of a private local-compute personal finance AI workspaceWriting ·

Personal Finance AI with Llama 3.1, running locally

Exploring a local-first approach to a generative AI personal-finance application.

Read article
Editorial illustration of an AI-planned journey across a map and calendarWriting ·

Build a generative AI travel itinerary in 30 minutes

A hands-on walkthrough for turning traveler preferences into a structured daily itinerary.

Read article
Editorial illustration of ingredients transformed by AI into a plated recipeWriting ·

Building a food recipe generator with Streamlit and OpenAI

A practical build log for combining a simple Streamlit interface with generative recipe creation.

Read article
Project Yoda and llama artwork from the project’s Devpost page

Dec 2023—Present · Generative AI

Yoda — LLM-Powered Conversation Co-Pilot

A real-time co-pilot for Zoom, Google Meet, and Webex using Whisper, LangChain, Llama 2, GPT-4, PaLM 2, and Together AI. Winner of Best LLM Solution at Cornell Tech’s Llama Hack. View source
Project overview for the Generative AI Travel Itinerary Generator

2023 · Generative AI

Generative AI Travel Itinerary Generator

A Python and Streamlit planner using PaLM 2 to create preference-aware itineraries that can be downloaded in iCalendar format. View source
Project overview for the Generative AI-Powered Food Recipe Generator

2023 · Generative AI

Generative AI-Powered Food Recipe Generator

A personalized Streamlit recipe application comparing GPT-3.5, GPT-2, and FLAN-T5, with Unsplash image discovery. View source
Project overview for Streaming Crime Data to Evaluate Neighbourhood Safety

2022 · Big Data

Streaming Crime Data to Evaluate Neighbourhood Safety

A real-time NYC crime pipeline built with PySpark, Databricks, AWS Kinesis, Folium, and Tableau. Read paper
Project overview for the HouseMe property management system

2022 · Full-stack

HouseMe — Property Management System

A Django rental platform with Heroku CI/CD, Matterport virtual experiences, Twilio communication, and Plotly visualization. View source
Project overview for LetsTagIt, a real-time hashtag recommendation system

2021 · AWS · Computer vision

LetsTagIt — Real-time Hashtag Recommendation System

An AWS microservice that uses Rekognition and OpenSearch to generate hashtag recommendations from images.
Project overview for Email Spam Detector

2021 · AWS · Machine learning

Email Spam Detector

A SageMaker-based detector with Lambda, SES, S3, and CloudFormation for scalable email processing.
Project overview for thefoodiegenius restaurant booking concierge chatbot

2021 · AWS · Conversational AI

thefoodiegenius — Restaurant Booking Concierge Chatbot

An AWS Lex booking assistant backed by Yelp data, DynamoDB, Elasticsearch, Lambda, SQS, and SNS.
Project overview for Smart Photo Album natural-language photo search

2021 · AWS · Natural language

Smart Photo Album — Natural-language Photo Search

Voice and text photo search using Lex, Transcribe, Rekognition, S3, API Gateway, and Lambda.
Project overview for AutoStretcher

2020 · Automation · Healthcare

AutoStretcher

An automated intra-hospital transportation concept developed through feasibility work and medical-stakeholder research.View project
Project overview for ParkEase

2020 · IoT · Computer vision

ParkEase

A contactless smart-parking prototype using Raspberry Pi, Django, OCR, and multiple payment methods.View project
Project overview for Bhaavna Vishleshak

2020 · NLP · Sentiment analysis

Bhaavna Vishleshak

A Hindi-sentence sentiment analysis application built with Django, Pandas, NumPy, and NLTK.
Project overview for GodsEye

2020 · Security · Web scraping

GodsEye

A Django tool that searches malicious sites for exposed personal information and reports identity-theft risk.View project
Project overview for ChargingWizard

2019 · IoT · Mobile

ChargingWizard

Secure in-store phone-charging stations with Raspberry Pi hardware and web/mobile station discovery.Visit project
Project overview for MyMoneyCheck

2019 · Fintech · Machine learning

MyMoneyCheck

An investment tracker using privacy-conscious user clustering to generate tailored financial suggestions.View project
Project overview for Aditya Chavan's original portfolio website

2019 · Web · Portfolio

My Website — First Portfolio

The first version of this portfolio, built with HTML, CSS, Bootstrap, JavaScript, and PHP and hosted on a custom domain.Visit project
Project overview for the Autonomous Home Security System

2018 · IoT · Facial recognition

Autonomous Home Security System (AHSS)

A door-security system using ultrasonic sensing, image capture, ML facial recognition, and Android/email alerts.View project
Project overview for BookMyBicycle

2018 · Web · Mobility

BookMyBicycle

A Django platform for finding bicycle stations, renting a bicycle, and returning it to another station.Visit project

Bring me the complicated part.

I’m always interested in thoughtful conversations about distributed systems, AI products, research, and ambitious engineering work.

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