Hello,
I am Adhil, and this website showcases things I've found personally fun and worked on professionally, allowing me to explore multiple technologies.
I am a Full stack developer with an IBM Professional Certification and over 2 years of professional experience, looking for opportunities to demonstrate my expertise and ingenuity.
A 2D Game/Engine where you can create/edit levels, level alignments, transitions, textures with build-in gravity, lighting, hit-boxes, player death, respawn.
Technologies Used:
A Shopping list application that can keep a purchase history of your items with future purchase suggestions based on your estimated consumption.
Technologies Used:
A collection of 10+ mini projects completed as part of IBM Professional Certification programs, covering a wide range of full-stack development topics including backend APIs, databases, frontend UIs, and cloud deployment.
Technologies Used:
date_range Jan 2022 - May 2024
location_on Bangalore, Karnataka
location_on Kochi, Kerala
Full Stack Development/Migration of In-House product. Frontend Support/Feature Development for multiple client projects.
Technologies Used:
location_on Calicut, Kerala
Build, deploy, test, run, and manage full stack cloud native applications.
Technologies covered includes:
Cloud foundations, GitHub, Node.js, React, CI/CD, Containers, Docker, Kubernetes, OpenShift, Istio, Databases, NoSQL, Django ORM, Bootstrap, Application Security, Microservices, Serverless computing, and more.
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.
Learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow.
Learn Ethical Hacking, Penetration Testing using real world techniques by black hat hackers and learning to defend against them.
Technologies covered includes:
Kali Linux, Linux Command Line, Python, Metasploit, Nmap, SQLmap, Aircrack-ng, ARP Spoofing, Hashcat, Password Management, Security Tools.