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<!DOCTYPE html>
<!--
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Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
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<html>
<head>
<title>Umang Sharaf</title>
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<body>
<img src="css/images/bg_mobile.jpg" id="mbg" alt="mobile_bg" />
<!-- Wrapper-->
<div id="wrapper">
<!-- Nav -->
<nav id="nav">
<a href="#me" class="fas fa-home active">
<span>Home</span>
</a>
<a href="#about" class="fas fa-user">
<span>About</span>
</a>
<a href="#work" id="link_work" class="fas fa-briefcase">
<span>Work</span>
</a>
<a href="#projects" class="fas fa-file-code">
<span>Projects</span>
</a>
<a href="#app" id="link_app" class="fas fa-mobile">
<span>iOS App</span>
</a>
<a href="https://drive.google.com/file/d/1i9tXIggRqBl4XAasoZo4lZQ2_I_CB3F6/view?usp=sharing" target="_blank"
class="fas fa-file-alt">
<span>Resume</span>
</a>
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<span>LinkedIn</span>
</a>
<a href="#contact" class="fas fa-envelope">
<span>Contact</span>
</a>
</nav>
<!-- Main -->
<div id="main">
<!-- Me -->
<article id="me" style="text-align:justify" class="panel">
<header>
<h1>
<a href="https://www.linkedin.com/in/umangs94" target="_blank">Umang Sharaf</a>
</h1>
<p>
<a href="http://www.berkeley.edu/" target="_blank">University of California, Berkeley</a>
<br>
<a href="https://eecs.berkeley.edu/academics/graduate/industry-programs/meng" target="_blank">
Master of Engineering
</a>
in
<a href="https://eecs.berkeley.edu/academics/graduate/industry-programs/meng" target="_blank">
Computer Science
</a>
<br /><br />
<a style="cursor:pointer" onclick="$('#link_work').click()">Machine Learning Engineering
Intern</a>
<br />
<a style="cursor:pointer" onclick="$('#link_work').click()">Software Engineer</a>
<br />
<a style="cursor:pointer" onclick="$('#link_app').click()">iOS App Developer</a>
<br />
<a href="http://www.osu.edu/" target="_blank">The Ohio State University</a>
</p>
</header>
<a href="#work" class="jumplink pic">
<img src="images/me.jpg" alt="me!" />
</a>
</article>
<!-- About me -->
<article id="about" class="panel">
<header>
<h2>About me</h2>
</header>
<p>Eleven years ago, I developed my first computer program, a basic calculator, in C# and I was hooked
right away. Over the years, I worked as a Software Engineer for two years and published an iOS app.
My undergraduate Statistics minor changed the way I think about data and since then, I have enjoyed
analyzing how my personal data (such as sleep, nutrition, and running pace) interact with one
another. I started learning about Machine Learning soon after as it gave me a unique opportunity to
apply my statistics knowledge in combination with my software engineering skills. To learn more
about this field, I studied Machine Learning in the Master of Engineering program at UC
Berkeley.
</p>
<p>
During my summer 2019 internship at an early-stage startup, I learned about and used new techniques
of modeling and data collection to build on my existing machine learning knowledge. My tasks
involved training image classification models with TensorFlow to predict a hospital bed’s
patient-occupancy score and collecting training data by scraping images and converting YouTube
videos using a video annotation tool that I built with OpenCV.
</p>
<p>
At UC Berkeley, my team researched traffic light coordination using deep reinforcement learning
with an open-source traffic control framework called Flow. Our work, in improving Flow over the past
year, has allowed me to apply the new skills that I learned in technical courses such as Machine
Learning Systems and Deep Reinforcement Learning.
</p>
<p>
In 2017, I published an iOS app called Drinks Tracker on the App Store. I created an algorithm that
calculates the user’s BAC level based on multiple metrics, which the app used to notify the user
about their estimated Blood Alcohol Content (BAC) level. The app was installed by over 3.9k users
and got 104k impressions when Apple removed this category of apps from the App Store.
</p>
<p>
My current fitness goal is to complete a 7.5 mile run in an hour. Currently, I am two minutes away
from making it!
</p>
<p>
In my spare time, I enjoy watching movies and TV, especially science fiction classics such as Star
Trek and Doctor Who. 🖖
</p>
<p>
Currently, I want to work as a Machine Learning Engineer, in the Bay
Area, to make better use of all the data that we generate every day.
</p>
</article>
<!-- Projects -->
<article id="projects" class="panel">
<header>
<h2>Researched traffic light coordination using Deep Reinforcement Learning</h2>
<h4><i>with Prof. Alexandre Bayen</i></h4>
<p>Fall 2019</p>
</header>
Worked in a team to improve an open-source traffic control framework called Flow
<br><br>
Updated Flow to use AIMSUN’s (traffic simulation software) improved API methods
<br><br>
Trained with PPO and real-world peak-hour traffic data from Arcadia, CA
<br><br>
Optimized the time offsets of five arterial traffic lights to increase average traffic speed
<header>
<img class="image centered web" src="images/traffic_deep_rl_capstone.png"
alt="Artificial Intelligence to improve City-scale Traffic Flow">
<h2>Researched how to reduce mixed-autonomy traffic congestion using Deep Reinforcement Learning
</h2>
<h4><i>with my Capstone team and Prof. Alexandre Bayen</i></h4>
<p>2018 – 2019</p>
</header>
Optimized the behavior of autonomous vehicles to increase average traffic speed in a city-scale scenario
<br><br>
Worked in a team to use and improve an open-source traffic control framework called Flow that
simulates traffic with SUMO and trains with Ray
<header>
<a style="cursor:pointer" onclick="$('#link_app').click()">
<img class="image centered web" style="max-width:200px" src="images/drinks_tracker.png"
alt="Drinks Tracker">
<h2>Published an iPhone app on the iOS App Store</h2>
<h4><i>Drinks Tracker</i></h4>
<p>2017 – 2018</p>
</a>
</header>
In 2017, I published an iOS app called Drinks Tracker on the App Store. I created an algorithm that
calculates the user’s BAC level based on multiple metrics, which the app used to notify the user about
their estimated Blood Alcohol Content (BAC) level. The app was installed by over 3.9k users and got 104k
impressions when Apple removed this category of apps from the App Store in 2018.
<br><br>
<a target="_blank" href="https://github.com/umangs94/drinks-tracker-ios">
<img class="image" style="max-width: 50px;"
src='https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png' alt='GitHub'>
<br>
This project was uploaded to GitHub in 2019.
</a>
<header>
<h2>Completed the <i>Machine Learning by Stanford</i> course</h2>
<h4>Taught by Andrew Ng, Co-founder, Coursera and Adjunct Professor, Stanford University</h4>
<p>Spring 2017</p>
</header>
<header>
<img class="image centered web" src="images/voice_analytics_capstone.png" alt="Meeting assistant">
<h2>Created a voice-based meeting assistant as our Capstone team project</h2>
<h4><i>for PureCloud by Interactive Intelligence</i></h4>
<p>Spring 2016, The Ohio State University</p>
</header>
Analyzed speech during video calls to automatically create meetings in Google Calendar
<br><br>
Worked with the IBM BlueMix, Google Cloud Speech, and Google Calendar APIs
<header>
<h2>Analyzed and summarized the text of a diverse collection of Reuters articles in Python</h2>
<p>Spring 2016, The Ohio State University</p>
</header>
Used Beautiful Soup 4 and scikit-learn to implement several clustering and classification algorithms
such as DBSCAN, Hierarchical Clustering, Naïve-Bayesian, and K-Nearest Neighbors
<br><br>
Calculated Jaccard Similarity scores and Mean Squared Error to accurately create association rules
<header>
<h2>Developed several Android apps as part of coursework</h2>
<h4>integrated with the Twitter, Google Calendar, and Google SafeSearch APIs</h4>
<p>2015 – 2016, The Ohio State University</p>
</header>
<header>
<img class="image centered web" src="images/qualcomm_hackathon.jpg" alt="'Best Lifesaving Hack’'">
<h2>Won <strong>Best Lifesaving Hack</strong> at Qualcomm’s intern hackathon for an Augmented
Reality app</h2>
<p>Summer 2015, Qualcomm</p>
</header>
Created an Android app to visualize sound to assist the hearing impaired
<header>
<img class="image centered web" src="images/isaosu.jpg" alt="isaosu.com">
<h2>Organized philanthropic and cultural events for 300+ people</h2>
<h4><i>as Webmaster and Chief of Staff (Indian Students Association)</i></h4>
<p>2013 – 2016, The Ohio State University</p>
</header>
<header>
<img class="image centered web" src="images/uncakd.jpg" alt="uncakd.org">
<h2>Aaj Ka Dhamaka</h2>
<h3 style="text-transform:uppercase">Webmaster</h3>
<p>Fall 2013, University of North Carolina</p>
</header>
<header>
<h2>Advanced Energy Vehicle project</h2>
<h4>Model Monorail</h4>
<p>Spring 2013, The Ohio State University</p>
</header>
</article>
<!-- Work -->
<article id="work" class="panel">
<header>
<h2>Machine Learning Engineering Intern</h2>
<h3 style="text-transform:uppercase">LookDeep Health</h3>
<p>Summer 2019, Oakland, CA</p>
</header>
Trained image classification models to predict a hospital bed’s patient-occupancy score
<br><br>Built my model’s training pipeline in TensorFlow 2 and learned to use DVC, an open-source model
versioning system
<br><br>Collected training data by scraping images and converting YouTube videos using a video
annotation tool that I built with OpenCV. Also used and contributed to Scalabel, an open-source
annotation tool
<br><br>Generated 40k randomized synthetic training images after learning to use Blender
<br><br>Improved my model using computer vision techniques with transfer learning on InceptionV3 and
ResNet-152
<br><br>Assisted another intern in developing the end-to-end system from reading images off the camera
to serving predictions using TensorFlow Serving and displaying the output inference in the browser
<header>
<h2>Software Engineer (Full Stack)</h2>
<h3 style="text-transform:uppercase">OCLC (Online Computer Library Center)</h3>
<p>2016 – 2018, Columbus, OH</p>
</header>
Wrote Java code while updating 7 legacy webapps, used by 15k+ administrators for library management
(books, media, etc.), to use jQuery, PostgreSQL, and Apache Tomcat
<br><br>Enhanced OAuth authentication services used by OCLC’s enterprise partners to support mobile apps
<br><br>Supported a $3M+ contract by writing utilities to easily internationalize a webapp in 20+
languages
<br><br>Optimized database handling and functionality for compliance with GDPR requirements
<br><br>Built and deployed our webapps to several QA and Production environments
<header>
<h2>Interim Engineering Intern</h2>
<h3 style="text-transform:uppercase">Interim Engineering Intern</h3>
<p>Summer 2015, San Diego, CA</p>
</header>
Improved my internal webapp from 2014 and created new features to automate tasks for other team
members
<br><br>Automated tasks using C# to internalize SQL scripts into an ASP.NET application
<header>
<h2>Interim Technology Intern</h2>
<h3 style="text-transform:uppercase">Qualcomm</h3>
<p>Summer 2014, San Diego, CA</p>
</header>
Overhauled an internal webapp used to manage a portal which simplified doctor-patient communication
<br><br>Resolved and implemented requested user stories to increase operational productivity
<br><br>Made extensive use of ASP.NET, SQL, HTML5, and JavaScript while collaborating with other team
members using Team Foundation Server in Visual Studio
<header>
<h2>The Ohio State University</h2>
<h3 style="text-transform:uppercase">CSE Help Desk Operator</h3>
<p>2014 – 2016, Columbus, OH</p>
</header>
Assisted Computer Science professors, faculty, and students with their technical queries and issues
<br><br>Replied to any queries sent to help@cse.ohio-state.edu diligently and in a timely manner
<br><br>Printed posters for graduate students
<br><br>Ensured that all the CSE printers (~20) are working at all times with no paper and ink issues
<header>
<h2>ICICI Prudential AMC Ltd.</h2>
<h3 style="text-transform:uppercase">IT Intern</h3>
<p>Summer 2010, Mumbai, India</p>
</header>
Gained experience programming in work environment
<br /><br>Primarily programmed in ASP.NET and C#
<br /><br>Created websites for inputting and recalling user details
<br /><br>Worked in Microsoft Access to create databases to store user details
</article>
<!-- App -->
<article id="app" class="panel">
<a target="_blank" href="https://github.com/umangs94/drinks-tracker-ios">
<header>
<img class="image centered web" style="max-width:200px" src="images/drinks_tracker.png"
alt="Drinks Tracker">
<h2>Drinks Tracker</h2>
</header>
<p>In 2017, I published an iOS app called Drinks Tracker on the App Store. I created an algorithm
that calculates the user’s BAC level based on multiple metrics, which the app used to notify the
user about their estimated Blood Alcohol Content (BAC) level.</p>
<p>The app was installed by over <strong>3.9k users and got 104k impressions</strong> when Apple
removed this category of apps from the App Store in 2018.</p>
<a target="_blank" href="https://github.com/umangs94/drinks-tracker-ios">
<img class="image" style="max-width: 50px;"
src='https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png'
alt='GitHub'>
<p>This project was uploaded to GitHub in 2019.</p>
</a>
<h3>App Store Description</h3>
<p>Drinks Tracker allows you to search a list of nearly 4,000 drinks and easily add drinks to track
your Blood Alcohol Content (BAC) percentage.</p>
<img class="image web" style="max-width:200px" src="images/screenshot1.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot2.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot3.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot4.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot5.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot6.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot7.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot8.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshot9.jpg" alt="Drinks Tracker">
<img class="image web" style="max-width:200px" src="images/screenshotW.jpg" alt="Drinks Tracker">
<br />
<br />
<h4>Features</h4>
<ul>
<li>Search and easily add drinks. Favorite your frequent drinks for easy access!</li>
<li>Track your BAC using the Today View widget and the Apple Watch app. Complications and
Dynamic
Notifications are coming soon!</li>
<li>Easily add custom drinks and favorite them in a few taps.</li>
<li>Get notifications when your BAC is at 0.08% and 0% and a reminder to add your next drink.
</li>
<li>Customize your profile to get an estimated BAC tailored to you!</li>
<li>3D Touch the app icon to quickly add a drink and to see your BAC in the widget.</li>
<li>Suggest drinks so that they can be added to the list!</li>
</ul>
</a>
</article>
<!-- Contact -->
<article id="contact" class="panel">
<a href="mailto:umang@berkeley.edu">
<header>
<h2>Contact me</h2>
</header>
<p>Currently, I want to work as a Machine Learning Engineer, in the Bay Area, to make better use of
all the data that we generate every day.
</p>
</a>
</article>
</div>
<!-- Footer -->
<div id="footer">
<ul class="copyright">
<li>Design:
<a href="http://html5up.net" target="_blank">HTML5 UP</a>
</li>
</ul>
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