Experience & Education
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TikTok
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Projects
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FourScore - Speech-to-Emotion analysis through large-text classification
• Developed context-based machine-learning algorithm using sci-kit learn library and NLTK
• Built back-end with Flask microframework, and hosted through MS Azure
• Dynamic live-feed text editor with color display corresponding to 6 predefined emotions
• Created speech trend & sentence snapshot visualizations using D3.js
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FeetUP
For BattleHack Chicago 2014, my team and I decided to create a platform to connect the homeless with potential donors to provide supplies, food, and shelter so that each person in need could support his or her interests.
The app was created using Angular.js and Bootstrap on the front end, and runs on Node.js, Express.js, and MongoDB on the back-end. In addition, the app integrates Facebook SDK to use as a log-in system and the Braintree API to facilitate payments.Other creators -
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TouchPay
TouchPay is an NFC peer-to-peer payments android app. This app allows for users to use the NFC functionality of android phones, and with a tap, transfer money.
Built at the 54.io hackathon.Other creators -
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HackIllinois Android App
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Developed the Android application for the attendees and sponsors of the 2014 HackIllinois hackathon held at the University of Illinois at Urbana Champaign.
App included Google Authentication for logins, a feed of the list of attendees and sponsors, profiles of individual people, a newsfeed for general updates, a schedule of the event, and a support page.Other creators -
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GameOfDebates
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See projectUsed multinomial mixture of topics model to extract topics from 2016 presidential debates and visualized sentiments on the topics.
Languages
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English
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Spanish
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Hindi
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Punjabi
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Shane Williams
For solo founders and small teams, the leverage asymmetry is now absurd. One person in flow can out-ship a committee. The bottleneck moved from "can we build it?" to "do we have the clarity and uninterrupted time to build it?" Protect your focus like it's your most valuable asset. Because it is. #ClaudeCode #Convex #Greptile
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Sarah Hum
Shopify raised the bar for PM interviews. OpenAI showed us how not to launch. Product managers are still critical. Here’s what conversations stood out this week on /r/ProductManagement: 1️⃣ Working through dysfunction: PMs succeed by focusing on the right areas and building political capital. Don't focus on anchors that won't move. Focus on levers that move and matter. Read more → https://bit.ly/4mr2DsR 2️⃣ Shopify's technical requirements: Candidates now build AI-enabled prototypes in interviews. Some worry this shifts focus from core PM skills. If you write good user stories, you write good prompts. Read more → https://bit.ly/4oIFHqf 3️⃣ Launch lessons from OpenAI: The GPT-5 rollout showed what happens when you overpromise and skip change management. They broke the main rule of product launches. Read more → https://bit.ly/4mO19sb 4️⃣ PMs are still critical: Strong PMs combine agency, strong opinions, and a builder's mindset. Read more → https://bit.ly/3VaHEhH - - - Hey, I’m Sarah! I co-founded Canny. We help software teams build better products using customer feedback. Follow me for real lessons from building products, growing a startup, and staying close to customers.
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Cindy Maduabuchi
Thrilled to finally share my final single project for Altschool! I wrote a detailed Product Management Case Study diving into the strategy behind X (formerly Twitter), and how it successfully mastered the landscape of real-time, global conversations. This article breaks down the core product decisions and features from the strategic use of Quote Tweets and the power of Trends, to the role of Communities that made the platform a culturally dominant "habit." The ultimate product lesson? Speed and simplicity are the keys to cultural dominance. Check out the full analysis below and let me know your thoughts on the PM strategy: https://lnkd.in/dmGBG9KW #ProductManagement #PMCaseStudy #Altschool #X #Twitter #TechAnalysis #ProductStrategy
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Duke Victor
I saw a tweet the other day calling out YC for “breeding the AI bubble.” The argument? That they’re funding strange startups, some chasing niches so narrow you wonder how a founder, let alone a college dropout, could ever reach product-market fit. And I’ll admit it… I resonated with that take. There have been some odd startups coming out of recent batches. But here’s the thing: YC is still one of the most valuable institutions the startup world has ever had. It’s not just an accelerator. It’s a school of thought. A filter. A network. Yes, some bets are weird. Some won’t pan out. But if you zoom out, so much of the tech we rely on today started out looking weird, small, and maybe even “pointless.” The lesson for founders isn’t to dunk on YC or its startups. It’s to remember: Weird ideas sometimes fail… and sometimes change the world. Product-market fit is rare, but YC maximizes the surface area of people trying. Having the right ecosystem matters, credibility, mentors, and capital are leverage. So, while the AI hype cycle is real, I think YC’s role is less about fueling a bubble and more about giving the next great founder their shot. After all, the weirdest bets often become the best ones.
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