Name: Rashmi Bhaskar
Type: User
Bio: Driven Software Engineer | Expert in Python, MERN / MEAN stack & Ruby on Rails | I deliver high-quality frontend and backend solutions
Twitter: rashmibrao
Location: San Jose, California
Blog: https://rashmibhaskar.github.io/
Rashmi Bhaskar's Projects
ā¢ Implemented AI search techniques using Python to lead an exploration team to explore underground cave system in a 3D grid space. ā¢ Algorithms included Uniform Cost Search, Breadth First Search, Depth First Search, and A* with an admissible heuristic.
Machine Learning & Data Science : Supervised, Semi-Supervised, and Unsupervised Learning on Breast Cancer Wisconsin (Diagnostic) Data Set.
A full-stack Python web application that integrates user authentication with the Auth0 platform, allowing users to log in, view their profile, and interact with a protected API.
Machine Learning & Data Science : Vertebral Column Data Set
Machine Learning & Data Science: Time Series Classification on AReM dataset
Connect Four Game
Machine Learning & Data Science : Decision Trees on Accute Inflamations dataset , The LASSO and Boosting for Regression on Communities and Crime dataset
Executed MapReduce job for inverted index of unigrams and bigrams on a large dataset in Java and Hadoop. Additionally explored inverted-index creation for documents using Lunr.js and Solr.
A game playing AI agent - using alpha beta pruning technique
The MOLA-twitter-app is created to search for twitter username and render top 10 tweets if the user exists by integrating the twitterAPI. The backend is created using the node.js proxy server that makes calls to the twitterAPI. The frontend is created using react.js(create-react-app template)
Machine Learning & Data Science : Multi-class and Multi-Label Classification Using Support Vector Machines on Anuran Calls (MFCCs) Data Set
National Hockey League
A Multimodal RAG App : that answers dog related issues
A Multimodal RAG
Scan the QR code to visit Frontend Mentor and take your coding skills to the next level
Machine Learning & Data Science : Random Forests, XGBoost and Model Trees on APS Failure data set
React Pagination Component for Blogs
Machine Learning & Data Science : Linear regression, Multiple regression, & KNN-regression on Combined Cycle Power Plant Data Set
ScrimBot : An AI powered chatbot
Compare search results for 100 queries - Google v/s Yahoo
ā¢ This application was developed in 3 phases with different technology stack - It allows user to search for stock information using FinnHub stock API, and result format included tables, graph charts and latest news articles.
Machine Learning & Data Science : Transfer Learning for Image Classification on different Bird Species
Legacy API microservice for the admin panel