About Me
I’m Maheshwar, worked in the field of Machine Learning for 2 years and recently moved to London for pursuing a master’s degree at King's College London. I worked in healthcare and fintech domains earlier. I started my career at a startup where we developed an AI-based diagnostic platform for retinal diseases where my role was quite versatile i.e., I was involved in the entire ML pipeline starting from the data collection till model deployment.
Fast-forward to today, and I’ve had the privilege of working at few startups, a MNC, and joining a popular fashion retailer in UK. My main focus these days is building ML pipelines for organisations.
With a passion in AI and ML, I didn’t just work for companies but carried out my own research works and projects and published three of my research papers.
Here are a few technologies I’ve been working with (find details in Resume):
- Machine Learning
- Python
- Computer Vision
- Deep Learning
- AWS
- Azure
Where I’ve Worked
Data Engineer @ eMoodie
June 2022 - Present
- Developing ETL pipelines for the company in two products. Making the data ready for data scientists, business analysts.
- Skills: PySpark · Machine Learning · Python (Programming Language) · Pandas (Software) · Data Engineering · Microsoft Azure · Azure Databricks
Some Things I’ve Built
Featured Project
Machine learning predicts live-birth occurrence before IVF treatment
This work mainly focuses on making predictions of live-birth occurrence when an embryo forms from a couple. Here, we compare various AI algorithms, including both classical ML, deep learning architecture, and an ensemble of algorithms on the publicly available dataset provided by Human Fertilisation and Embryology Authority (HFEA).
- Machine Learning
- IVF
- Deep Learning
- Python
- Ensemble Algorithms
Featured Project
AI aiding in diagnosing, tracking recovery of COVID-19 on Chest CT scans
Coronavirus (COVID-19) has spread throughout the world, causing mayhem from January 2020 to this day. Owing to its rapidly spreading existence and high death count, the WHO has classified it as a pandemic. Model performance is evaluated in terms of F1-Score, Mean intersection over union (Mean IoU). It is noted that the proposed approach results in 97.31% of F1-Score and 84.6% of Mean IoU.
- Covid-19
- Deep Learning
- Computer Vision
- Semantic Segmentation
Featured Project
Fingerprint Matching - An Experimental Approach
An approach has been proposed to find the region of interest (ROI) which is based on dividing the image into blocks. Blocks of 8 images are compared in terms of ‘Histogram of Oriented Gradients (HOG) Descriptor’ and the error is calculated. The group of error points in each block is considered to be a cluster. The cluster which is less scattered would be the region of interest (ROI).
- Fingerprint Analysis
- ML
- Image Processing
Other Noteworthy Projects
view the archiveQuantitative Imaging of the shared placenta in twin pregnancies
We present a quantitative, multi-modality pipeline as a proof-of-concept to map the placenta blood network to a high resolution, and discuss its clinical potential for TTTS Surgery.
Aatmaan
Aatmaan offers Disease Diagnosis, Prognosis using Intelligence Systems and maintain Patient Records that improves, eases the overall clinical workflow and gives immense experience for doctors & patients.
Fooling Neural Networks
Developed ways to fool neural networks to function as per our wish. Modifying weights and biases, Backdooring, Extracting information are the techniques used for this purpose to hack them
Retinal Vessel Segmentation in Fundus Images of Eye
Semantic Segmentation. Developed Convolutional Neural Network which segments blood vessels in Fundus images of human eye retina. Implemented LadderNet.
Online Compiler
Implemented an Online cloud-based compiler which can compile C, C++, Java, Python languages. It can also be used as Platform as a service by deploying in real-time.
Cloud Based Keylogger
A Cloud based Keylogger Services where customer registers his/her email id and add tracker code in victim's PC to get frequent updates of Key Logs on email.
What’s Next?
Get In Touch
I'm actively connecting with peers who are in to Artificial Intelligence, Computer Vision, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
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