My Resume

1. SWAPNIL KISHORE
+1(716)-364-8453 | linkedin.com/in/iamswapnilkishore | iamswapnilkishore@gmail.com |
swapnilkishore.github.io
Education
University at Buffalo - SUNY Feb 2021 (Expected)
Master of Science in Computer Science & Engineering 3.7 / 4
KIIT University May 2019
Bachelor of Technology in Computer Science 8.65 / 10
Skills
Programming – Java, Python, C++
Software Packages – Scikit, Pandas, Express, nodemon.
Misc. – Git, Android Studio, Matlab, Eclipse
Projects
Activity Monitoring using Supervised Machine Learning techniques. (Python, Numpy, Scikit) April 2019
● Collected data for six basic human activities using tri-axial readings of accelerometer and gyroscope embedded in
smartphone.
● Implemented several machine learning techniques such as ANN, SVM, RNN, K-NN, Decision Tree.
● Achieved a peak accuracy of 96.8% when classifying activities into target classes using ANN.
Created a web search application using Flask framework in Python.(Python, Flask, Elasticsearch) November 2019
 Indexed data consisting of tweets in Elasticsearch database.
 Used Bing API to collect news articles relevant to tweets.
 Implemented sentiment analysis using TextBlob in Pyton.
 Used Kibana tool to create visualizations and representations of tweets present in database.
 Used flask framework to create the search application and link the application with elasticsearch and kibana.
Transfer Scheduler service for OneDataShare (Reactor core, Flux/Mono) January-May 2020
 Designed and wrote a microservice for performing transfers from source to destination using Reactive Core flux
technology as part of a team. Implemented concurrent transfers along with static optimization of concurrency
parameter.
 Achieved significant speed improvements with concurrent transfers between various endpoints.
Dynamo DB consistent storage (Android, Java) April-May 2020
 A simple implementation of Dynamo DB consistent storage.
 Provides quorum replication, linearizability and failure handling and uses SHA-1 for consistent hashing.
FEVER System (BERT, python, TF-IDF) January-May 2020
 Designed an end-to-end system for automated fact extraction and claim verification.
 Used BERT for textual entailment, TF-IDF for sentence selection and cosine similarity for document retrieval.
 Web application built using flask framework
Group Messenger Application (Android, Java) March-April 2020
 A group messenger application for android that is capable of exchanging messages among several participants.
 Achieved total ordering and FIFO ordering of messages by implementing the decentralized ISIS algorithm.
Research Papers
● A hybrid method for activity monitoring using principal component analysis and back propagation neural network.
https://ieeexplore.ieee.org/document/8358499
● A comparative study of various methods for human activity monitoring such as SVM, RNN and Perceptron.
http://ieeexplore.ieee.org/document/8479436