Software Engineer with hands-on experience in Machine Learning and Computer Vision. More than 3 year experience in Python and Javascript along with Frameworks such as Django, Keras, NLTK, Pandas, Node.js and Next.js. I mostly like to work on projects that impacts the public in a positive way at the same time challenges my Technical and Problem Solving skills.
Machine Learning Engineer
Dubai, UAE (Jul 2020 - Present)
Machine Learning Engineer
Dubai, UAE (Jan 2020 to Jul 2020)
New Delhi, India (Mar 2020 to Dec 2020)
Vivekananda Journal of Research
Published on: Dec 2019
Abstract
We explore the possibility of unsupervised byte-level sentiment learning of a sentence in the English language using small recurrent language models. Long Short-Term Memory (LSTM) network is a simple and effective network to use while working with sequential data like text or audio. As LSTM processes the data it learns all the information regarding the given input in the context of all the inputs before that. A. Radford et al [1] provided the evidence that a multiplicative LSTM (mLSTM) [9] is able to learn the concept of sentiment in a manipulable way, but they were able to achieve this result due to the huge amount of data samples used for training. This paper tries to investigate the neuron or neurons responsible for sentiment analysis inside a Long Short-Term Memory (LSTM) network when there is a limited amount of training samples available.
Journal of Earth and Envionmental Sciences
Published on: Jul 2019
Abstract
This paper compares the learning curve generated by different machine learning models by predicting Biological Oxygen Demand (BOD) and pH given Chemical Oxygen Demand in the water sample. The continuing advancements in the field of sensor interface development are to calibrate and correct the inherent non-idealities present in transducers forced us to work in this area. Machine Learning algorithms have made a profound impact in the field of Science and Engineering in the past few decades. The purpose of this paper is to propose an approach which is more users friendly and fast in operation by modelling and optimization of sensor used for dissolved oxygen measurement. This is to overcome several drawbacks generally found in the previous work like complex designing, nonlinearity and long computation time. It is found that there is a possibility to replace hardware sensor technology by Machine Learning and Artificial Intelligence provided appropriate and sufficient data.
Created a platform that generats a unique design sleeve for Lenovo's Yoga series laptops using GAN and WebGL by analysing social media pictures of the users.
Developed a variety of solutions that aided the event organizers to get a clear insight into a candidates' mental ability and also analyse the crowd movement using an array of CCTV Cameras.
Researched and Developed a handheld device that can measure Water Quality along with an estimated percentage of minerals and chemical properties in a given water sample.
Created a completely static blog and write about technology, computer science and new things I learn. The site gets 1000+ monthly unique users.
Guru Gobind Singh Indraprastha University
New Delhi, India
Graduated on 2019
Major Field: Computer Applications
Minor Field: Mathematics
Kalka Public School
New Delhi, India
Graduated on 2016
CBSE - PCM with Computer Science