Oyesh Mann Singh

LinkedIn: http://www.linkedin.com/in/oyeshsingh

Phone: 409-***-**** j Email: adim9v@r.postjobfree.com j Website: https://oya163.github.io Education

University of Maryland Baltimore County, MD 08/2017-12/2020 Masters of Science in Computer Science GPA-3.756/4 Kathmandu Engineering College, Nepal 05/2007-12/2011 Bachelors of Science in Computer Science GPA-70.11/100 Technical Skills

Programming Languages - Python, R, Java, C++, HTML, CSS, Javascript, Bash

Database - MySQL, PostgreSQL, NoSQL (MongoDB)

Others - Linux, PyTorch, Github, AWS services, Numpy, NLTK, Pandas, Sklearn, Flask, REST API, Docker, Apache Air ow, CI/CD pipeline (Github Actions, Travis CI), Redis, Kubernetes Professional Experience

Research Intern

NAAMII, Kathmandu, Nepal 06/2020-08/2020

Developed a non-parametric Bayesian Model for unsupervised morphological segmentation task. Deployed this model as a web app on AWS Elastic Beanstalk following CI/CD pipeline using Github Actions

Github link - https://github.com/oya163/gibbs

Research Intern

HLTCOE, Baltimore, MD 06/2019-08/2019

Increased the entity-tagged dataset volume by 500% by introducing more Wikidata classes and IDF scores in existing Wikipedia framework especially for Chinese and Russian languages

Improved the NER F1 score by 4% for Chinese language by pre-training BERT with newly obtained dataset compared to the BERT-base

Data Intern

Relus Cloud Technologies, Atlanta, GA 06/2018-08/2018

Successfully completed two major Data Ingestion Pipeline projects on AWS platform to extract millions of real- time records from wearable devices, transform using AWS Lambda scripts and loading into AWS DynamoDB Teaching Assistant

UMBC, Baltimore, MD 08/2017-12/2020

Assisted 30-40 students in undergraduate courses (Data Structure, Computer Architecture and Data Science) and graduate course (Advance Operating Systems) with excellent feedback from students and professors Software Developer

Lamar University, Beaumont, TX 03/2015-05/2017

Enhanced Chemical Analyzer Barometer (CAB) software using auto-thresholding technique of Otsu’s method to properly detect the edges of water droplets

Added GUI features in Excel Merge Utility software for more convenience assisting in further data analysis Associate Software Developer

Software Paradigm Infotech, Kathmandu, Nepal 01/2013-12/2014

Successfully deployed two projects in Credit Management and Reservation domain for Macy’s beating the deadlines earlier than expected

Completed one research project to automatically generate SMS noti cations based on voltage load in the building and dump voltage-level logs to database using Arduino. This project was one of the highly appreciated project in the company

Projects

Nepali Stemmer: https://nepali-stemmer.herokuapp.com 04/2020 Created rule-based stemmer in Nepali language and deployed it on Heroku. Created a pip module for community

Aspect Based Abusive Sentiment Analysis: 09/2019 https://github.com/oya163/nepali-sentiment-analysis

{ Created Aspect Based Abusive Sentiment dataset in Nepali language

{ This dataset will help to identify who is targeting what kind of abusive words towards whom

{ Trained BERT, BiLSTM and CNN models for Aspect Term Extraction and Polarity Classi cation task

Nepali Named Entity Recognition: https://nepner.herokuapp.com/ 02/2019 Completed rst Nepali NER project achieving 86.9 overall F-score using BiLSTM + Grapheme-level CNN architecture. Deployed this NLP on Heroku using Flask framework

Data Analysis on 311 Dataset: https://github.com/oya163/R-project 02/2018 Led a team of four to analyze and build a predictive regression model to estimate the time taken for a neigh- borhood based on population of various races in Baltimore using 311 dataset of approximately 3 million records Certi cations

MongoDB Aggregation Framework 10/2020

{ Completed M121: The MongoDB Aggregation Framework course.

{ Gained extensive knowledge on building pipelines and using various aggregation techniques in MongoDB

AWS Certi ed Developer Associate 11/2020

{ I am currently taking this course in Udemy

{ Gained extensive theoretical knowledge & hands-on experience with AWS Fundamentals (IAM, EC2, ELB, ASG, RDS, Aurora, S3, CLI, SDK, ECS, ECR, Elastic Beanstalk, CICD pipeline)

Apache Air ow 11/2020

{ I am currently taking this course in Udemy

{ Creating DAG work ows, running Bash, Python, Postgres and Hive operators

{ Hands-on experience with various executors (Sequential, Local and Celery with RabbitMQ)

REST APIs with Flask and Python 11/2020

{ Connect web applications to databases and servers via REST APIs

{ Create secure and reliable REST APIs which include authentication, logging, caching, and more

{ Handle seamless user authentication REST APIs and JWT blacklisting

Dockers and Kubernetes 12/2020

{ I am currently taking this course in Udemy

{ Hands-on experience on building Docker based on multiple containers with Nginx/Redis/Nodejs and de- signing a CI/CD pipeline from scratch with Travis CI to deploy on AWS EB

{ Con guring Kubernetes cluster and deploying it to the cloud

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