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Savar Sharma

@savarsharma

Software Developer at Bitinfogen Systems Pvt. Ltd.

Delhi, India

https://www.linkedin.com/in/savar-sharma-205065243/

Bitinfogen Systems Pvt. Ltd.PDM University, Bahadurgarh

Savar Sharma is a Software Developer at Bitinfogen Systems with a background in Computer Science from PDM University. He has extensive experience in full-stack development and machine learning, having interned at DRDO and NIC. Savar is also a published researcher with six papers in international journals and a recipient of the IAYP Gold Medal for his commitment to public service.

Experience

Software Developer

Bitinfogen Systems Pvt. Ltd.

Sep 2001 - PresentDelhi, India

Developed intuitive and accessible web components using TypeScript in AngularJS and HTML Native Web Components. Wrote automation tests in ROBOT framework in Python and TypeScript. Maintained CI pipeline on Jenkins to facilitate Acceptance Test Driven Development.

Web Development (Intern)

National Informatics Centre (NIC)

InternshipAug 2001 - Nov 2001Haryana, India

Developed web application in Reach using Typescript, for end-to-end Sanitation Management in the district of Kurukshetra, India. Developed highly accessible and robust React based web application supporting touch screen interfacing to conduct driver license exam.

Statistical Analyst

Indian Agricultural Statistical Research Institute

Jul 2001 - Oct 2001New Delhi, India

Development of forecast models for agricultural systems covering agricultural, horticulture, veterinary sciences, dairy, poultry, fishers, etc. Developing various linear and nonlinear time series modeling and forecasting in Agriculture.

Full Stack Web Developer (Intern)

How Does it Matter

InternshipJun 2001 - Aug 2001Delhi, India

Working on different aspects of a project from designing user interfaces to implement server side logic and database management. Practice prototyping in order to quickly prototype and develop minimum viable products (MVPs) to test ideas and gather user feedback.

Associate

Defense Research and Development Organization (DRDO)

Jun 2001 - Jul 2001Delhi, India

Developed a comprehensive active learning model which aims to improve the accuracy of other Machine Learning models with a lot less training examples, using Long Short-Term (LSTM) method. Improved semantic segmentation of satellite imagery using Convolutional Neural Networks; employed un-sampling and masked R-CNN.

Education

PDM University, Bahadurgarh

Bachelor’s in Technology (B.Tech)

Computer Science

Jul 2001 - Jun 2001

Skills

TypeScript
AngularJS
HTML
Python
ROBOT framework
Jenkins
React
C#
C/C++
Java
JavaScript
PHP
Ruby
SQL
MySQL
PostgreSQL
MongoDB
TensorFlow
PyTorch
Pandas
Power BI
Tableau
Machine Learning
Data Analysis