Mit Patel Email & Phone Number

Seattle, Washington, United States

Bellevue, Washington, United States

Phoenix, Arizona

Developed a system to automate the process of warping imagery using Brute Force Point Matching Algorithms and Computer VisionWorked on a Super Resolution Proof of ConceptExtracted camera parameters from the aerial images using the Iterative Close Point algorithm and BF point matching.Improved the software through the implementation of beneficial updates to existing systems.

Tempe

Worked on Generative Adversarial Network-based systems to generate Representations in order to Privatize the dataset (UTKFace).Designed end to end pipeline right from Data input and preprocessing to training the GAN model and evaluated the network for various distortion measures like L1, L2, and SSIM.Working on ideas discussed in Generative Adversarial Models for Learning Private and Fair Representation. (Link attached)

Tempe. Arizona

Analyzing the impact of supply-side ad network composition on mobile app ad revenue Determine how metrics like downloads, ad revenue and engagement of apps affect the market share of the app. Designed end to end pipeline to pre-process the raw data into meaningful data objects with proper structure. Calculate Pearson Correlation Coefficients between all the apps to gain useful insights from the data. Used the App Metadata to create SDK portfolio and ad network composition along with the Market share of the ad networks to know the major ad networks. Generated a final table with meaningful features using the portfolios, different ad compositions and market share of networks. Using Simultaneous Equations Model, regressed on the processed final table to obtain useful insights about the correlation between app metrics and their market share.Influential Power of YouTubers Collect info about YouTubers within a specific range of subscribers to calculate their influential power. Created a web scraper to scrap the Channel Ids. Monitor the trends in channels growth every week by updating channel attributes using YouTube API. Designed an HMM model to capture the trends in the growth of YouTubers. Train the model on collected data to predict the right time for YouTuber to collaborate with sponsors to grow their channel.

Tempe, Arizona

Grader & Tutor of Subject : CSE355 : Intro to Theoretical Computer Science for Spring 2019Responsibilities include : Grading assignments, homework of the students and providing feedback.Tutoring the students to solve doubts about the assignments, homework and lectures.

Tempe, Arizona

• Support the Gammage security team by helping maintain security and safety of people and property and by providing customer service, checking credentials and assist people with directions and being observant of the surroundings.

Gandhinagar

• Developed educational games for students to improve their cognitive skills using Cocos 2d JavaScript Framework.• Ported the company SDK to new game vector-based game engine which helped with the memory optimization (70% decrease in browser memory utilization).• Engineered company's own math based educational games using vector game engine and implemented a text to speech module using Windows speech synthesis API for the same games.

Ahmedabad Area, India

• Got acquainted with content management software Alfresco. Researched on how to add new features to the software.• Programmed a new auto tagging feature using Python for the software that would auto tag the documents based on its content and thus help improvise the time to yield for a given search query.• Tested the new feature using company documents as dataset with a decrease of 15% for the search time.

Ahmedabad Area, India

• Organized various technical and non-Technical events for students from all over the state.• Collaborated with various sponsors to host a grand annual cultural fest with more than 2000 attendees from universities all over the state.• Prepared the annual budget of $8000 for the club along with the schedule for all the events round the year.• Supervised and guided several junior students, who were assigned to conduct events, on multiple occasions and reviewed their work.• Co-ordinated with fellow board members and the faculties of the universities to organize the annual I-fest 2k16 #Adrishta with great success

Master'S Degree, Computer Science, 3.7

Course Work • Fundamentals of Statistical Learning • Applied Cryptography • Foundation of Algortihms • Statistical Machine Learning, •.

Bachelor'S Degree, Computer Engineering, 8.06

Course Work • Object-Oriented Programming • Data Structures and Algorithms • Machine Learning • Artificial Intelligence • Information.