Sriharsha Kanumilli

Electrical Engineer, Computer Scientist

About Me

Hi There! I'm Harsha and I tend to always find myself in interesting situations. I love being unconventional and going on adventures.
Here's a little about me:

Capabilities:
- Sleeps through four different alarms in the morning
- Watching endless youtube videos
- Runs a record-breaking 8 minute mile

Whereabouts:
- Beaver Stadium: Bleeding blue & white at football games
- Library: Coding, designing, and building my iron man suit
- Simmons Hall: Watching every football game on TV

Crimes:
- Theft: Learns different programs without expensive tutors
- Disorderly Conduct: Actually drives 45mph at a 45mph zone
- Deceit: Avoids bad hair days through snapbacks
- Public Indecency: Wears basketball shoes but is terrible at basketball

Interests:
- Artificial Intelligence (Deep Supervised Learning and Reinforcement Learning)
- Computer Vision
- Self-Driving Cars
- Automated Medicine
- Biomimetic Design

What I love to do

Learn

I live to learn. I believe that there is a learning experience in every failure. I strive to learn from my personal losses & seek out for advice to gain a broader understanding of the world.


Design

I love to design and sketch new products - I want to develop products that first and foremost look beautiful and ones that perform complex functions with simple commands. I believe clean user interfac and sleek design is the key to a sustainable product.

Prototype

I am a huge fan of creating different prototypes of new ideas. I believe that there lies a certain beauty of producing new iterations of products that exceeds the former ones. I love starting with a simple idea and building on it over time to something complex. Baby Steps.

Read

I read everyday for at least 30 minutes before going to bed. Some of my recent favorites include: Shoe Dog by Phil Knight, Bad Blood by John Carreyrou, Educated by Tara Westover, Significant Figures by Ian Stewart, and Dark Money by Jane Mayer.

Experience

  • Education

  • Pennsylvania State University

    - Bachelor's in Electrical Engineering and Computer Science
    - Involved in student government, robotics club, Lunar Lion, Institute of Electrical and Electronic Engineers, and AI Society.


  • Computer Vision | Deep Learning Researcher

    Building a deep learning neural network capable of detecting Pneumonia in x-ray scans.

  • Lunar Lion | Electrical Engineeer

    Lunar Lion is a student run organization with the goal of putting a lander on the moon. I developed a kill-switch that would signal to the lander to shut off in the event of an emergency and am currently designing the lander’s entire circuit system.

  • Robotics Club

    Built a tiny robot car that learns to go through a maze using Arduino and the left-hand rule algorithm. The car won first place in school competition.

  • Professional Experience

  • ReleasePoint | Application Developer Intern

    • Learned C# in three weeks and built a natural language processing engine using Amazon Comprehend, IBM Watson and TextRazor APIs to mine 30 years of hospital records for patient name, date of birth, medical history, vaccination history and other relevant information.
    • Designed and built a front-end UI using NodeJS that allowed clients to upload hospital records needed to be analyzed, and then record if the extraction tool was correct for each relevant data point in Microsoft SQL server.
    • Used TensorFlow to build a highly specific natural language processing engine for the company’s largest client and reduced extraction time for 1000 hospital records by 15 percent.
    • Leveraged Knowledge: Python, JavaScript, C#, Git, UI Design.

2

Awards Won

10

Personal Projects

20+

Team Meetings

too many

Cups of Coffee

Projects

These are my projects that I've developed or contributed to. My main interests lie in circuit design, aritifical intelligence, UI design and data analysis. I'm always working on a new project - stay tuned for more!


Airbnb Data Analysis
Data Analysis

Used Airbnb listing data to understand popular trends and predict housing prices.

Full Analysis Here


YelpExplorer
Data Visualization

Built an interactive query tool for Yelp data using Yelp Fusion API, NumPy, and Bokeh data visualization tool. The tool returns the 50 best locations near you for a user’s search parameter (food preference usually). I introduced a credibility metric that integrates a business’ rating and review count ensuring that a 5-star establishment with 1000 reviews is given more weight than one with 20 reviews.

Get Code


Guess The Number
AI/Deep Learning

This program is my version of solving the MNIST Digit data set. It allows the user to draw a number on the screen and have the program take a guess of which digit it is. This uses a basic neural network model.

Get Code


Flappy Bird AI
AI/Reinforcement Learning

Built an AI that learns to play flappy bird.

Get Code


Contact

Connect with me!
If you have any inquiries, or would like to speak to me about any opportunities, don't hesitate to shoot me an email at ksriharsha1@gmail.com or send me a LinkedIn message.