Milind Lingineni


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Who am I?

Hi! My name is Milind Lingineni and I’m a third-year computer science major at the Georgia Institute of Technology with a 4.0 GPA who is graduating in 2.5 years (Dec. 2018). My primary interests and specializations lie in artificial intelligence, especially machine learning, and information interworks. I'm proficient in Java(Android), Python(TensorFlow/Scikit-Learn/Selenium), C, and SQL and am familiar with Assembly, MATLAB, and HTML/CSS/Javascript and am currently a member of The Agency (GT's artificial intelligence club) and GITMAD (GT's Android club).

This past summer, I interned at the Georgia Tech Research Institute where I developed a machine learning platform called EMADE (Evolutionary Multi-Objective Algorithm Design Engine) using genetic programming to automatically create combinations of machine learning algorithms (e.g., deep neural networks, gradient boosted decision trees, SVMs, and clustering algorithms) that achieve better performance than any individual algorithm on multiple objectives (e.g., F1 score, mean squared error, and complexity of GP tree). Now I'm working part-time at GTRI during the fall to apply this framework to detect underwater targets with bathymetric LIDAR 3D point clouds. In the spring of 2017, I was a technical business analyst intern at Interface, Inc. where I performed data analytics and web scraping to create a consolidated data source and mobile application for the marketing and sales team. During the summer of 2016, I was a software developer at Molina Healthcare where I did data analytics, specifically extract, transform, and load (ETL) between databases and automatic report generation.

Under Dr. Charles Isbell and Himanshu Sahni, I'm doing research on AI decision making through hierarchical deep reinforcement learning with state space decomposition, action space hierarchy, and object-centric attention mechanism. I'm continuing what I've learned in my summer internship through the Automated Algorithm Design Vertically Integrated Project where I'm applying the EMADE to Kaggle data science competitions and continuing to improve the framework.

Resume and Skills

Click on the image below to view my resume!

Projects

"Computer science is no more about computers than astronomy is about telescopes."
- Edsger Dijkstra

Personal - Deep Reinforcement Learning


Created video game AI using Asynchronous Advantage Actor-Critic (A3C) model and Deep Q Networks for OpenAI Gym reinforcement learning environments with Python and TensorFlow for neural networks. Only done with CartPole problem but hope to scale to more complex problems (like Atari) when I get a stronger computer.

Personal - Kaggle Competitions


Competed in Kaggle data science competitions with EMADE machine learning framework developed at GTRI for house price prediction and image recognition competitions.



Hackathon - DreamGreen


Winner of HackDuke Best Use of Facebook API prize! Personal carbon footprint tracker that enables the ordinary individual to take action against climate change. Android app in which I wrote much of core Java that integrated the various XML layouts and scoring algorithms. I also made the app interactive. Click here for Devpost link. Also, click here for GitHub link.

CS 2340 - Clean Water Crowdsourcing


Developed Android application to track the quality of water through crowdsourced information and used Google Maps API. Exceeded expectations for project with Firebase to store user data and additional user tracking features. Also created a web app with Express and Node to accompany app for more experience.

Hackathon - RoadTrip


Web app developed for HackNC that suggests the best attractions for a road trip from a start and final destination. Made using using Esri’s ArcGIS Javascript API, Yelp’s API, Flask, and Google App Engine. Click the image for the link.

Hackathon - Summarize Co.


HackGT project that helps potential job applicants form better relations with companies, creating richer dialogue between recruiters and individuals. Website created using Indeed's API, Wikipedia's API, Python and Flask. First hackathon project but somewhat slow. Click image for link.

Send me an email!


I'd love to get to know you more! Feel free to shoot me an email through the interwebs and I'll to get back to you as soon as possible.