Saeed Naeem

Computer Science | Applied Mathematics

Recent UC Berkeley grad. Interested in SWE, AI, ML and Data Science. I hope you enjoy my website.

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Tado

Rare are the artists that dare to innovate; Tado is one of them. Tado, or Will Furtado, is an independent musician and lyricist hailing from Berkeley, California. Growing up in a small coastal region of Massachusetts, Tado cites his brief stint with the Dem Roots rap crew to have catalyzed his passion for music. Although the majority of his discography remains unreleased, the most zealous fans are known to have access to recordings from his early career. Lauded by many, Tado 's highly-anticipated debut release, Scooby, was a collaborative project with his former roommate and friend, Jinho Shin. Superficially, the track details unrequited love; on a more profound level, it raises the moral dilemma of choosing between what one is truly passionate about, and what one knows will give them economic success. With a renewed lust for artistry, Tado made his return on the eve of his 21st birthday with his sophomore single, Telegraph, this time partnering with Shin under a new moniker: Sappho. Rounding out the triumvirate of pop classics, 510 features Tado flaunting nimble wordplay and a pugnacious flow.

About me

My name is Will and I 'm a Machine Learning Engineer at SwingVision. I grew up in a small coastal region of Massachusetts and received my International Baccalaureate Bilingual Diploma from Sturgis Charter School in 2019. I then went on to attend UC Berkeley where I graduated with degrees in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Data Science with a concentration in Applied Mathematics and Modelling and Modelling and Modelling and Modelling and Modelling and Modelling and Modelling and Modelling and Computer Science. Although my true passion lies within Ramsey Theory, a subset of discrete mathematics, I have been the subject of a healthy bit of seduction from computer science since moving out west; I am fascinated by the ML-driven recommendation engines of Spotify and Netflix. As of late, I 've been working as the Course Director for Foundations of Data Science at Berkeley. During the summer months, I work as a software engineer for Cambridge Mobile Telematics in their IoT lab; my work sits within the intersection of unsupervised machine learning and device hardware. Before that, I was a researcher with Goodly Labs ' Demo Watch project attempting to use NLP to identify patterns of violence within government demonstrations.

Portfolio

Solving Pacman using Reinforcement Learning

Solved Pacman using deep Q-learning for Multi-Agent scenarios. Implemented Neural Nets with batch training & Gradient Descent in Python

Code available upon request

Movie Recommendation System + EDA

A data analysis, machine learning and NLP project to recommend movies given user input. Created visualizations, used NLP techniques & TF-IDF2 for recommendations

Article Summarizer and Story Uploader

React app with Flask backend to automate Instagram story uploads with summaries of articles automatically generated using NLP

2D Tile Based Game

Immersive tile-based game engine with personalized avatar, winning objectives & dynamic world generation. Classes implemented in Java using specialised data structures

Code available upon request

Cryptocurrency Dashboard

Real-time cryptocurrency price tracking system integrating data sourced from Coinbase API. React App leveraging data visualization techniques for 50 currencies

Nano GPT

Built Generatively Pretrained Transformer following GPT2 & 3. Also developed baseline bigram model & leveraged autoregressive language modelling framework using PyTorch

Spotify Music Recommendation App

Used Spotify Web API to recommend songs to users based on their given input. Hosted using the Streamlit framework, app URL in Github repo below

AI Chatbot

Chatbot leveraging NLP. Used Python & TensorFlow to implement Deep Learning Model, enhancing bot's conversational abilities. Integrated into web apps using Flask for user experience

Spotify Analysis & Hypothesis Testing

Data Science project exploring song trends & testing relationships between musical features to discover dependencies. Involved data pre-processing and creating visualiations to derive insights

Housing Price Appraisal

Data Visualization & Machine Learning project based on predicting housing prices. Involved data cleaning + feature engineering to train & compare Regression Models, Random Forest, Decision trees

As of Late

When not capturing the world through the lens of my Canon AE-1, you 'll likely find me meticulously curating my Spotify playlists, eating the finest bluefin tuna at Inaho , or writing pop songs with longtime friend Jinho Shin. Regardless of the weather, I love to play tennis or kick a football around La Loma. Come winter time, the slopes becomes my top priority; the strongest of recommendations for Corbet 's Couloir in Jackson Hole, Wyoming. Soon, I hope to conquer the Swiss Alps via heli-skiing. I find relaxation in los versos sencillos of José Martí and Neruda 's Poema 20 . Their work inspired me to persevere in my quest of Spanish fluency, so much so that I began to dabble with the quill through lines of my own. Top Three Movies: (in no particular order) Good Will Hunting, 10 Things I Hate About You, Superbad And there 's that one time an unforgiving tree broke my spine, but I 'll save that for another day.

Triple Threat

Over the past several years, my love for the Spotify platform has grown unconditionally. As a direct result of this obsession, I have become what I will call the Spotify Triple Threat .

  • Avid Consumer: Raking in well over 250,000 listening minutes on Spotify, it is clear that I know the brand from a consumer 's perspective inside and out.

  • Spotify Developer: Working with Spotify 's Web API and the Spotify for Developers platform has allowed me to understand what working backstage is truly like.

  • Verified Artist: Familiarity with Spotify for Artists and a heightened awareness of the music distribution process prove invaluable when working on features used by top artists today.

About me

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Please don 't hesitate to reach out to me about anything! I 'll take any chance I can get to fuel my caffeine addiction.

Cheers

Once I see your message, I 'll drop everything to get back to you as quickly as I can. Please don 't hold me to that.

The Triumvirate of Spotify Playlists

Forget this website, get to know me through my music taste. Here are three of my favorite playlists at this moment in time.

5:12

Sublimation

Corbet 's

Photo Archive

Curated for my own enjoyment, available for all to view. I 'd called this a fair, albeit limited , representation of myself.

Teaching

Appointments

Materials

Media

Photography Colllections