My name is Svapnil Ankolkar and I am a third-year Computer Engineering major at North Carolina State University. Aside from writing impactful code, I also love taking pictures, recreationally biking, good coffee, and occassionally waving at babies. My passion is to create technology that improves people's lives, whether it's designing a cool new IoT-enabled embedded system or building software infrastructure that protects the privacy of hundreds of millions of users.
I spent my spring semester of 2018 studying at Lund University in Sweden, where I had the opportunity to meet motivated and interesting people from everywhere around the world. During the Spring of 2019 I interned as a software engineering intern Facebook, working on privacy infrastructure at Instagram. This summer I will intern at Microsoft under the Cloud and AI division. Stay tuned to hear about more of my life and projects!
Clear Health - HackNC 2018
This is the culmination of the work my team and I did during the 2018 HackNC Hackathon, which ended up winning us third place overall in the competition. Our team wanted to build something that would improve the lives of those who struggle with the cost of healthcare in America. What we built is an app that searches public records of Medicare data to find the cheapest cost of treatment near there. We took this data and made it accessible through any web browser. This project could potentially give people better access to cheaper healthcare by empowering users with data that is hard to find elsewhere.
IoT Vehicle Connected to the Amazon Alexa
This is an extension of the work I did on my embedded system class. I connected my IoT vehicle to the Amazon Alexa using AWS Lambda and ngrok. I made it possible to control my MSP430 microcontroller-run vehicle using the Echo. You can find the code and instructions how to recreate it on my Github. This is a video demonstrating my project from the comfortable view of my dorm. (Shoutout to Bagwell Residence Hall!)
Bitcoin Enthusiast Twitter Bot
When the market dips,you see a steady stream of people hypothesizing why bitcoin is crashing. When it spikes, you see the moon memes come out. Both sides are represented, and everyone is a moron.— bitcoin warren buffett (@bitbotvestor) December 31, 2017
This Twitter bot makes comments and predictions about Bitcoin just as well as your amateur cryptocurrency enthusiast. (Which, in my opinion, means not very well)
Python script takes the top comments from a
list of controversial daily submissions on /r/Bitcoin
and tweets one every 30 minutes. The two
motivations behind this project were:
1. Learning how to interact with website APIs using Python
2. Making fun of "crypto enthusiasts" while learning a little on the side
US Mental Wellness Visualization
During the 2018 annual Carolina Datathon my team worked on visualizating mental health and poverty data in the United States and how it has changed over time. Using R and Python, the data was collected from the datasets given to us and translated into Z-score values against the mean of all the data given. From there it was converted into JSON and visualized using D3js. This code for this project is on Github and the team members I worked with were Anam Navied, Erin Lyons and Lahari Revuri!