Chaitanya Sarda
About
Detail
CEO & Co-founder
California, United States
Résumé
Jobs
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InvestorPioneer FundOct 2025 - Current (10 months)- CEO & co-founderAiPriseJun 2022 - Current (4 years 2 months)Building world's most comprehensive compliance platform
- Senior Software EngineerGoogleJan 2018 - Jun 2022 (4 years 6 months)
- Member Of Technical StaffOracleJun 2017 - Jan 2018 (8 months)
- Associate Member Of Technical StaffOracleOct 2015 - May 2017 (1 year 8 months)-Developing Selenium-like Mobile Automation software called MonkeyTalk. -Developed JDeveloper, Eclipse and Netbeans IDE extension for MonkeyTalk using Java language. -Subject matter expert on MonkeyTalk IDE issues. -Developed and Maintained ADF created website for bulk bug aggregation and updation. -Developed and Maintained Product-specific bug Information Collection System.
- Research And Development InternSamsung RD Institute India BangaloreMay 2014 - Jun 2014 (2 months)-Conceptualized and evaluated the feasibility of a project monitoring the pulse rate using a smartphone’s built-in accelerometer. -Analyzed the Stream of data using FFT, IFFT, Filtering and Phase correlation and developed an algorithm for converting the data into pulse rate. -Developed an Android application to showcase the real time processing of the algorithm in which the application took 20 seconds worth of data from instantly reported the pulse of the user.
- Research And Development InternTata Consultancy ServicesMay 2013 - Jun 2013 (2 months)-Designed an interface that aims at bringing various static analysis tools developed on different platforms by different companies under single umbrella. -Developed a general purpose interface between Eclipse IDE and static analysis tools using Java. -Developed an Eclipse plugin as prototype that effectively works on the Domain Specific Language of TCS and various static analysis tools developed by TCS and its partners for any language.
- Developement InternRGen SolutionsDec 2012Worked on Sharepoint Foundation Technology.
Education
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- Bachelor's degree, Computer Science and EngineeringIndian Institute of Technology KharagpurJan 2011 - Dec 2015 (5 years)B.Tech in Computer Science and Engineering
- High School (Grade 11th and 12th, Electronics, Physics, Chemistry, MathematicsDr Ambedkar College NagpurJan 2009 - Dec 2011 (3 years)
- SSunflag School, BhandaraSunflag School BhandaraJan 1999 - Dec 2009 (11 years)
Projects (professional or personal)
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- CCorrecting OCR Errors in Scientific DocumentsOct 2014Used Natural Language Processing techniques to create an algorithm to clean up OCR errors in scientific documents and achieved accuracy of 86%.
- IImproved upon Sumblr : Summarization of Evolving TweetsSep 2014Improved and implemented Sumblr algorithm for summarization of stream of tweets
- SSuggesting Twitter followers using Hadoop clusterMar 2014Evolved and implemented an algorithm to suggest twitter followers to users using certain parameters relevant to the user. Implemented this on large scale using Hadoop Cluster.
- SSearchTech : A specialized search engine for searching reviews of Technology news.Feb 2014Used Lucene framework to build a search engine and applied various Information Retrieval models : 1. Tf-Idf 2. Okapi Formula 3. BM25 4. Pivoted Normalization weighting Compared results against each model and presented the results.
- SSuperMarket Automation SoftwareMar 2013An interactive platform for managers and clerks of a supermarket to manage inventory, customer data, customer rewards program and billing system.
Awards
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- AAwards and AchievementsCaptain of Product Design Team that won Silver Medal. Ranked 548 in IIT JEE Exam amongs 500,000 appearants. Won Gold in What's the Good Word Competition. Won gold in Ad Design Competition. Got 96% marks and stood 2nd in my district in 10th grade. Attended 2 year NCC(National Cadet Corps) course and hold the prestigious B Certificate.
Publications
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- CWASSUP? LOL : Characterizing Out-of-Vocabulary Words in TwitterCSCWJan 2016Abstract : Language in social media is mostly driven by new words and spellings that are constantly entering the lexicon thereby polluting it and resulting in high deviation from the formal written version. The primary entities of such language are the out-of-vocabulary (OOV) words. In this paper, we study various sociolinguistic properties of the OOV words and propose a classification model to categorize them into at least six categories. We achieve 81.26% accuracy with high precision and recall. We observe that the content features are the most discriminative ones followed by lexical and context features.