Hi, I'm Akshay
and I ❤️ Data
25 | Artificial Intelligence | Data Science | Full-Stack | Software Engineering
About
My Introduction
I have 4+ years of experience in AI, focused on designing, developing, and deploying cutting-edge software and AI solutions across various industries. I’ve led cross-functional teams through complete AI project lifecycles, working closely with stakeholders to turn business goals into practical data and AI strategies that deliver real results. I’m skilled in Python, Java, and deep learning frameworks, with a strong foundation in software principles for seamless performance and scalability. I’m always learning and stay active in the AI/research community by attending conferences and contributing to open-source projects. If you’re looking for an AI leader to drive impactful projects, let’s connect!
Skills
My technical & miscellaneous skillsAI & Data Science
4+ 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
St. Joseph's College of Engineering (Aff. 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.
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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.
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Image Super-Resolution GAN
Generating super-resolution images from low-resolution images using Super Resolution Generative Adversarial Network that looks photo-realistic.
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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.
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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
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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
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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.
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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.