Hi, I'm Akshay
Machine Learning Engineer
24 | Artificial Intelligence | Data Science | Software Development | Full-Stack | Open Research | Freelance
About
My Introduction
I'm a passionate & proactive human with strong expertise & experience of 3+ years in Machine/Deep Learning, Software Development, Computer Vision, Natural Language Processing, & Full-Stack Web Development. I am currently leading the Machine Learning team at BrainSightAI to build an AI-based Neuroinformatics and Personalized Human Brain Mapping platform. Self-motivation, attention to detail, innovative problem solving, strong analytical skills, articulate communication & creativity are the things that drive me to achieve great results. If you're looking to hire, collaborate, or require any assistance, leave me an email
Skills
My technical & miscellaneous skillsAI & Data Science
3+ Years XPComputer Vision
92%Natural Language Processing
85%Signal Processing
90%Probability & Statistics
85%Data Analytics & Visualization
80%Frameworks & Libraries
90%Programming
3+ Years XPPython
95%C & C++
90%Java
90%SQL
95%Computing
2+ Years XPGoogle Cloud Platform
85%Microsoft Azure
85%Amazon Web Services
85%GPU & Distributed Computing
90%Virtualization
85%Security & Penetration Testing
75%Front End
2+ Years XPHTML
90%CSS
85%JavaScript
75%React JS
85%React Native
85%BackEnd
1+ Years XPPython - Flask, Fast API
95%Java - Spring Framework
80%Node JS, Express JS
80%Firebase
60%Misc
4+ Years XPGit
90%Linux
90%DevOps
75%Software Development
85%Leadership
95%Communication
90%Time Management
98%Experience
My journey in the academic & professional frontB.Tech - Information Technology
Anna University, IndiaClass XII
Maths, Physics, Chemistry, Computer Science | Tamil Nadu State Board, IndiaClass X
Central Board of Secondary Education, IndiaLead Machine Learning Engineer
BrainSightAISenior MLE & Data Scientist
BrainSightAIMachine Learning Engineer
BrainSightAICo-Founder & Full-Stack Machine Learning Engineer
Pyxel AIFull-Stack Developer
CognizantArtificial Intelligence Engineer
DCKAPMachine Learning Lead Facilitator
Explore ML - Google AICore Developer
Google Developer Student Clubs - SJCEServices
Services that I offer as a freelancerArtificial Intelligence
Web
Development
Training &
Mentoring
Portfolio
My works, projects & contributions
Drive AI - Warning System for Drivers
Uses Computer Vision & Deep Learning that is capable of detecting traffic signs & signals, driver drowsiness, lane changes, pedestrian movements, & sensor features (similar to autonomous driving) which are analyzed by a sophisticated system to warn the driver.
View
OnlyGANs
An Open-source end-to-end library containing all implementations of GANs with pretrained weights, training & evaulating functionalities, and other zero-shot features. Under early-development stages.
In Dev
Style Transfer
A style-transfer application that can apply art styles or textures over new images.
View
Image Super-Resolution GAN
Generating super-resolution images from low-resolution images using Super Resolution Generative Adversarial Network that looks photo-realistic.
View
Neural Black - Brain Tumor Diagnosis System
Neural Black is a complete brain tumor detection, classification, and diagnosis system with high accuracy that uses state of the art Deep Learning methods.
View
Third Eye - Intrusion Detection System
A Hybrid Intrusion Detection system with firewall that uses Machine Learning to detect network intrusions by analyzing network traffic data and extra environmental features.
In Dev
Malware Prediction
Malware Prediction for portable executable applications using Machine Learning to predict if an executable program is a malware or is in a risk to get attacked
View
Stock Bot
A simple stock bot that uses Reinforcement Learning (Deep Q Learning) to sell, hold or buy stocks by taking decisions automatically. Simulates profit and loss based on stock investments
View
Tofu - Deep Learning Framework
Tofu is a Deep Learning Framework for Python, C, C++, and Java that aims to deliver high user-friendliness and user-experience simplifying technicality and improving accessibility to common people.
ViewInterested in my service?
Contact me for collaboration, and assistance for your new cutting-edge project or research.
Contact
Research
My research & publicationsA Hybrid Framework for Intrusion Detection in Healthcare Systems using Deep Learning
Journal: Frontiers in Public Health | Progress: PublishedLink: 10.3389/fpubh.2021.824898
Author(s): M. Akshay Kumaar, Dr. Duraimurugan Samiayya, Durai Raj Vincent P M, Kathiravan Srinivasan, Chuan-Yu Chang*, & Harish Ganesh
A Machine Learning based approach to detect network & application intrusions, achieving ~99.2% accuracy in successfully detecting around 19 types of latest cyber attacks.
Brain Tumor Classification using a Pre-Trained Auxiliary Classifying Style-based Generative Adversarial Network
Available at: IJIMAI | Progress: AcceptedLink: https://doi.org/10.9781/ijimai.2023.02.008
Author(s): M. Akshay Kumaar, Dr. Duraimurugan Samiayya, Venkatesan Rajinikanth, Durai Raj Vincent P M, Seifedine Kadry
An auxiliary classifying conditional generative adversarial network based on StyleGAN, achieving ~99.5 % accuracy in classifying Glioma, Meningioma, & Pituitary Brain Tumors from MR Images.