BIDHYA N SHARMA
******.*******@*****.*** • +1-256-***-**** • linkedin.com/in/bidhyasharma • github.com/bid007 CAREER SUMMARY
Software Engineer with 3+ years of experience in developing wide range of applications ranging from server-side, client-side, database, games to mobile applications. Also, a proactive learner with great interest in Machine Learning and Big Data.
WORK EXPERIENCE
The University of Alabama in Huntsville Aug 2016 - Dec 2017 Research Software Developer
• Developed a reverse search mechanism to fetch data from NASA CMR based on input geo-coordinates and search parameters.
• Implemented REST API to serve as alternate data source of CMR.
• Redesigned user interface of GHRC Hydro using ReactJS.
• Worked on website development of a project called Lightning.
• Python, JavaScript, jQuery, ReactJS, MongoDB, PostgreSQL, Elasticsearch, Docker.
LogPoint (SIEM), Nepal Oct 2014 – Apr 2016
Associate Software Engineer
• Re-engineered device import system to increase its capacity of creating devices from 100’s to 40K.
• Improved existing sync module used to sync multiple LogPoint nodes for resilience and performance.
• Developed a module to do cascading deletes and database cleanups.
• Optimized config reloader to avoid unnecessary reload and restart.
• Wrote python scripts to use sync and device import functionalities outside LogPoint web interface.
• Python, Flask, MongoDB.
PROJECTS
N-Shapes (Mobile Game) 2017
Cross-platform car racing game developed in Lua and Corona-SDK. Traffic Sign Classification (Deep Learning) 2017
Built and trained a deep convolutional neural network for traffic sign classification. Achieved 94.6% test accuracy. Python, Tensorflow, Numpy, OpenCV, Jupyter Notebook, AWS EC2.
Lane Line Detection (Image Processing) 2016
Used image processing techniques (Gaussian Smoothing, Canny Edge Detection, Hough Transform) to detect highway lane lines on video stream. Python, OpenCV, Numpy, Jupyter Notebook.
Event Management System 2016
iOS app for creating, publishing,
subscribing and rating events. Swift,
Python, MongoDB, Firebase.
Interest Rate Prediction of Banks 2014
Bachelor’s degree thesis project. Web app
to predict interest rates based on financial
data and public sentiment. Python, SK-
Learn, NLTK, d3.js, Django.
SKILLS
Programming Languages
Proficient: Python, C++
Prior Experience: Lua, Swift, Java
Web Technologies
Flask, Django, JavaScript, jQuery,
ReactJS, JSON, REST, HTML, CSS
Databases
MongoDB, PostgreSQL, Cassandra
Machine Learning and Big Data
Tensorflow, Keras, Numpy, SK-Learn,
Octave, HDFS, Map Reduce, Pig, Hive,
Spark, Kafka, Storm
Others
Windows, MacOSX, Linux, Git,
Elasticsearch, Docker, AWS, Firebase,
Tableau, ZeroMQ, Celery, Scrum
EDUCATION
MS in Computer Science
The University of Alabama in Huntsville,
Dec 2017
B.E. (Computer Engineering)
Institute of Engineering, Tribhuvan
University, Nepal, Aug 2014
AWARDS & CERTIFICATIONS
Winner – Integrity Ideathon Jan 2014