Abhishek Parashar

Software Engineer

Bangalore Urban, Karnataka, India5 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Published 4 research papers in machine learning
Facilitated machine learning workshops at Google AI
Developed advanced models for security monitoring

Stackforce AI infers this person is a Machine Learning and Deep Learning specialist with experience in Security and Healthcare sectors.

Contact

parasharabhishek62@gmail.com 9319638603 LinkedIn

Skills

Core Skills

Machine LearningDeep LearningNeural Networks

Other Skills

AWSBlenderDjangoElectronicsFlaskGolangJavaScriptJuliaLaravelMATLABMongoDBPHPPythonResearchSQL

About

I am a Software Developer, currently expanding my horizon and knowledge base as much as possible. I work primarily in machine learning and deep learning domain. I am also comfortable in Web development with Django, Javascript, Golang, PHP, laravel and Vue.js. I have strong understanding of computer science concepts along with deep understanding of Database systems. I keep updated myself with latest technologies and latest research papers, I have 4 research papers on my name and have reviews many as part of Elsevier and IEEE review policy. I also have strong knowledge of AWS and have knowledge of microservice architecture. I have deep understanding of Unity and Blender and have experience sharing this knowledge at large scale.

Experience

Manaable

2 roles

Senior Software Developer

Promoted

Oct 2021 – Present · 4 yrs 5 mos · Bengaluru, Karnataka, India

Software Developer

Oct 2021 – Mar 2024 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Iclear cctv & security system

Data Science Intern

Jan 2021 – May 2021 · 4 mos · New Delhi, Delhi, India

I developed various models for monitoring CCTV cameras and detecting intrusion, loitering, abandoned baggage, fall detection, crowd counting, etc. I also applied predictive modeling to customer data.

Machine LearningDeep LearningPython

Google

Machine Learning Facilitator at Google AI

Oct 2019 – Dec 2020 · 1 yr 2 mos

Appointed Machine Learning Facilitator by Google AI and the responsibilities
includes teaching students machine learning and deep learning and the
wonders these fields can do

Machine LearningDeep Learning

Inmas, defence research and development organization (drdo)

Deep Learning Research Intern

Jun 2019 – Aug 2019 · 2 mos · New Delhi Area, India

My aim was to collect EEG signals (give information about brain activity), pre-process
them and then predict the cognitive ability of the person by using neural networks.
I developed a GUI software that predicts that the subject is confused or not based on his/her cognitive ability.
The data was collected using EEG cathode cap, for preprocessing I used python frameworks numpy and pandas.
After verifying and trying many algorithms, I used the Gradient Boosting Algorithm. The result were far better than fellow researchers working on same data set available at Kaggle.
I continue to research on various topics of Deep learning with DRDO and I also represented DRDO at a conference of importance

Deep LearningPythonNeural Networks