Welcome to my GitHub 👋
⚡️About me (Click to Expand)
+ ⏳ I’m currently - 🌱 Learning: Neural Networks, the math behind - Attension, Transformers, Bayesian + 💬 Let's discuss: Whether one should risk their 'professional image' to enforce best practices and ["The maxim of manner"](https://www.sas.upenn.edu/~haroldfs/dravling/grice.html), for instance in academia. - 😡 Something I hate: When someone refers you to their paper, which provides minimal information and delegates to another paper. - 🤬 SomeThing I loath: `Splunk`. It is very hard to inport a package into Machine Learning ToolKit without doing something hacky. Often I must run a search twice + ⚡ Famous People whom I look up to: Khabib Nurmagomedov, George hotz, Elon Musk, Ben Goertzel + [Most recent Projects:](https://github.com/alik604/alik604/blob/master/README_FULL.md#personal-projects---currently) * [📊 Probabilistic learning](https://github.com/alik604/Probabilistic-learning) * [💻 Cyber security](https://github.com/alik604/alik604/blob/master/README_FULL.md#cybersecurity) * [💸 Algorithmic Trading](https://github.com/alik604/algorithmic-trading) + [Past Projects:](https://github.com/alik604/alik604/blob/master/README_FULL.md#projects-past) * [🧠 MNIST Brain—Multi dimensional EEG signal classfication](https://github.com/alik604/MNIST_Brain), * [🤖 Robotics](https://github.com/alik604/ra) * [📚 Natural Language Processing](https://github.com/alik604/multi-label-classification) * [🎶 Lyrics Generator](https://github.com/alik604/eminem_lyrics_generator) * [🐱💻 Backdoor (pseudoHacking)](https://github.com/alik604/myPyBackDoor) * [👀 openCV object detection](https://github.com/alik604/alik604/blob/master/README_FULL.md#opencv-object-detection) * [🤖 SFU Robot Soccer Club](https://github.com/alik604/sfuskynet)) * [🕸 Web](https://github.com/alik604/alik604/blob/master/README_FULL.md#web) * [📱 Android](https://github.com/alik604/alik604/blob/master/README_FULL.md#android) + [🏫 Classes](https://github.com/alik604/alik604/blob/master/README_FULL.md#classes) The evolution of my Github * 2018 Post exam hustle * 2019 Weekend warrior * 2020 Monster unleashed * 2021 No step back * 2021/2022 5 Courses, day trading, president of Cognitive Science student society. No more coding for fun * 2022/2023 9-5 Hustle. No more coding for fun My passion got me the job every other engineer wishes they had. And now it looks like my passion was just a means to an end. This must be why Einstein say school kills passion for learning. And why my coworker said to not work on weekends. My current "Projects" are * Buy a home > brb need to invent real-estate as code * Have an emergency fund * Afford furniture and things to put in said home // this cost over 10% of a downpayment > Boots theory of economics -- Have nice things for the get-go; No "Upgrading" * Get a car.. Used Toyata, Honda, MX-5. And make it look nice.Educational Background and Professional Interests
| My website | Resume | Medium | Youtube |
Currently working as a Software Engineer (L4) at Amazon!
I was a Cognitive Science major at Simon Fraser University, with a background in data science (which includes machine learning) for cyber-security and finance. This skill set is bolstered with natural lanaguge processing & data mining– as they are often necessities. I am also familiar reverse engineering APIs like that of WealthSimple, my stock broker. President of Cognitive Science Student Society (2021-2022), I started as the VP (2019-2020), and chair of the steering committee (2022).
My favorite course was CMPT 419/726: Machine Learning, a reasearch project based course. I took it at the end of my second academic year, I received an
A.
A year later I took CMPT 419/720: Robotic Autonomy, which was by the same professor but focused on robotics, via optimal control and reinforment learning. I received an
A+and worked as a Research Assistant at the MARS Lab over the subsequent summer continuing our project. Both these courses were Undergrad & Graduate split.