Aditi Deodhar Profile Picture

Hello world, I’m Aditi!

I’m all about using tech to solve real-world problems and make life a little better for everyone. I love turning ideas into something meaningful. When I’m not coding or experimenting with new tools, you’ll find me mentoring, learning, or geeking out about the latest in AI and software. Check out my tech blog.

Interests

  • Data Analysis and Machine Learning
  • Cloud Computing and Scalability
  • Generative AI and Ethical AI Development

Education

  • Master of Science - Information Systems
    (Expected Dec 2025)
    Northeastern University
  • Bachelor of Engineering - Electronics and Telecommunication
    (Jul 2021)
    Savitribai Phule Pune University

Projects

Context-based Email Ranking System for Enterprise

An email recommendation system for enterprise communication based on context which includes email content and social structure of communication.

RapidResQ

A comprehensive healthcare management solution designed to streamline emergency medical services (EMS) by optimizing response times, improving operational efficiency, and enhancing patient care.

A Data-driven Analysis of Boston's Utility Consumption

An extensive analysis to evaluate Boston's utility consumption patterns, leveraging data-driven methodologies for actionable insights.

Apartment Finder

A centralized platform designed to streamline the real estate market for buyers, sellers, and brokers with features such as comprehensive listing management, and advanced search and filter options, detailed property information, and user reviews.

MediPedia

A versatile medical chatbot, serving as a user-friendly gateway to comprehensive medical information, offering interactive dialogue for seamless assistance and guidance.

Stock Whisperer

A deep learning-based stock market prediction tool that utilizes fundamental financial data to forecast stock prices for the next quarter.

Experience

Jutly Inc

AI Engineer Co-Op (Sep 2024 - Dec 2024)

  • Evaluated new AI technologies such as LangGraph, and LangChain to identify possible integration with existing product
  • Developed and implemented prototypes utilizing LangChain leading to a 20% increase in efficiency
  • Designed and implemented multi-agent workflows using LangGraph, Flowise, and LangChain, achieving seamless integration with PHP-based systems and improving simulation adaptability by 25%.
  • Streamlined development environment by Dockerizing the application setup, reducing onboarding time by 30% and ensuring consistency across teams.

Persistent Systems Ltd.

Software Engineer (Aug 2021 - Jul 2023)

  • Implemented password encryption in a client application's database and property files, reducing the risk of data breaches by 50%, achieving industry-standard security compliance.
  • Researched and developed solutions to enhance the application's compatibility with the latest Java versions, resulting in successful deployment on both Java 15 and Java 17 platforms, ensuring seamless operation across multiple Java environments.
  • Elevated the standard command line installer of the application to an intuitive InstallShield GUI installer, thereby enhancing the user experience and reduced installation time.

Skills

Languages

C C++ Python Java R Bash

Web Development

HTML CSS Bootstrap React JS

Cloud and Database

AWS MySQL MongoDB

Frameworks

SpringBoot Django Flask

Data Science

TensorFlow Numpy Pandas Spark