Neel Bhave

Software Developement Engineer

• Worked as a part of C360 team, responsible for creating a unified profile of users by combining data from high volume data sources, and providing a reliable data platform to power business intelligence and analytics at Intuit.

• Enhanced the existing Stream processing platform to process new attributes in data using Apache Flink and store them into DynamoDB, reducing the time to execute data-based experiments from 2 weeks to 2 days.

• Engineered a project to derive features and provide real-time analytics from time-series data using Apache Druid, aimed at providing better personalization to users by capturing their journey over time.

• Designed and launched a monitoring system using AWS Cloudwatch, Lambda, and Python, which reduced the time to detect and investigate EMR errors from multiple hours to less than 30 mins.

Full Stack Web Developer

• Integrated a solution to automate student enrollment, after successful payment, into the existing LMS system using ExpressJs framework and MongoDB resulting in a 100% reduction in manual time required previously.

• Upgraded the codebase and database for adding 2 new exam variants on the existing testing platforms,Quizrr and AIMOT, and optimised the existing client and server-side code to handle 60% more user load.

PHP Web Developer

• Developed a project management web application using PHP, MySQL, Jquery which resulted in better tracking of goals and projects for sales and marketing teams in the organisation.

Graduate Teaching Assisant

• Graduate teaching assistant for CS 5100 - Foundations of Artificial Intelligence.

• Instructing Students on concepts of AI like Searching, Decision under uncertainty and Reinforcement Learning.

Northeastern University

University of Mumbai

GPA: 8.07/10

Brickdoor

• Developed a web application that allows users to post their work and interview experience for various companies they have worked for and allows companies to view the reviews posted for them by the users.
• Developed for the course CS5200 - Database Management Systems. Used a wide range of Database concepts like Association, Mapping, Enumerations and various relationships covered in the course to develope the project.
• Used JPA, Springboot, MySQL, Jquery and Bootstrap to develope the project. Used AWS RDS and Heroku to host the project.

Check the Project on github

Awesome Wallpapers Telegram Bot

• Developed a Telegram Bot that posts HD Wallpapers from Reddit to a Telegram Channel daily.
• Used Snoowrap.js to access Reddit API and Telegraf.js to access Telegram Bot API.
• This is my hobby project, the motivation for this project was my requirement of having a automated source of HD wallpapers on my phone regularly. The channel current has about 280+ members.
• I plan to upgrade this project to a open-source general Reddit bot, that will allow people to subscribe to the Subreddits of their choice and get regular updates from them on their Telegram messenger.

Check the Project on github

Solving Lunar Lander using Deep Reinforcement Learning

• Implemented Q-learning and Deep Q-learning to solve the Lunar lander environment by OpenAI Gym, i.e. training a spaceship to land on a landing pad without crashing, using Keras and PyTorch.
• Aimed at studying the benefits and challenges of using various Deep Q-learning algorithms in environments with continuous state representations and producing a comparative study for the same.

Check the Project on github

Check Project Article

Smart Signal- Adaptive Traffic Signal using Reinforcement Learning and Object Detection

• Developed a smart ATSC that uses object detection to sense the traffic at a signal, the reinforcement learning agent, which implemented the Q-learning technique, takes this data to predict optimal green signal timing.
• Recorded results showed that this method resulted in a 37% reduction in waiting times of cars at the traffic signal.
• This research has been selected to be published in a Spring approved journal.

Check the Project on github

Marketing Network for Agriculture Commodities

• Developed a platform using Nodejs, Expressjs, Reactjs, MongoDB and Android Studio that enabled farmers to directly sell their goods to wholesale buyers in urban areas.
• The system also provided a logistic solution for the orders, thus reducing the end cost of commodities to the end consumer.

Check out the project idea

Exam Monitoring System

• Developed a Web application using PHP, Python and Javascript which generates Analytics from students’ exam results,using Clustering and Regression techniques,enabling teachers and students to make appropriate academic decisions and changes.
• The ML models were trained using the Scikit-learn package in Python,which was made available through REST API deployed using Flask.

Check the Project on github