Resume
Ayush Sarkar
� Objective
Looking for internships in the areas of Deep Learning, Machine Learning, Blockchain-based applications, Internet of Things, Smart Analytics, Cloud Computing and general Real-world Applications focused on Artificial Intelligence.
� Education
University of Illinois at Urbana Champaign, IL (Aug 2016 � Present; Graduating May 2020)
� Undergraduate Student, College of Electrical and Computer Engineering; Major: Computer Engineering; Current GPA: 3.70
� Courses (2016-2018): Electrical and Computer Engineering/Computer Science: Introduction to Computing, Introduction to Electronics, Computer Systems and Programming (focusing on computer architecture, assembly language and C), Analog Signal Processing, Digital Systems Lab, Data Structures (focusing on data structures & implementations using C++, search on graphs & trees, and analysis of algorithms), Introduction to Data Mining, Statistics and Probability; Enrolled (Spring 2019): Introduction to Algorithms & Models of Computing, Artificial Intelligence, Digital Signal Processing; Mathematics: Multivariable Calculus, Differential Equations Plus, Discrete Math; Science: General Chemistry, University Physics - Mechanics, Electricity & Magnetism, Quantum Physics, Thermal Physics; Liberal Education Elective: World Religions, Indian Cinema in Context, Geographies of Globalization, Children, Communication & Language Ability, Logic and Reasoning, Startup Entrepreneurship.
� Computer Languages: Java, C/C++, Assembly, Python, Pascal.
Irvington High School, Fremont, CA (2012-2016): GPA 4.05
� Courses taken: Mathematics: Algebra 2 / Trig (Honors); Pre-calculus and AP Calculus; Science: AP Physics 1; AP Physics C; Biology (Honors); AP Statistics; AP Computer Science A; Languages: English (Honors); Spanish 1-4; Elementary & Intermediate Spanish (Ohlone college);
� Experience
� 5/18-8/18: Implemented an Auto-Insurance ecosystem for digital commerce using Blockchain Smart Contracts and Python-based Deep Learning for signatures, images and text recognitions in insurance forms, records and IDs, as a summer project through a startup company in Fremont, CA.
� 5/16-8/17: Performed research on Deep Learning and Blockchain and unifying them for Decentralized Autonomous Organizations.
� 5/14-8/15: Performed research on Sensor data analytics from IoT devices, collaborating with a mentor from Teradata Corporation. Implemented a smart home data analytics system using 2M records from 54 sensors within Intel-Berkeley Research Lab. Applied iterative machine learning model on the sensor data sets and showed significant reduction in time for processing and analysis.
� 1/13-5/14: Performed research and worked on a project, �An Information Supply Chain for Genome Analysis and Cancer Cure�. This project involved Big Data Analytics and Machine Learning methods on Amazon EMR. Collaborated with an external mentor at SGI Inc. Presented this project at AMPLAB, UC Berkeley.
� 5/12-1/13: Performed research and worked on a project, �Vertical axis wind turbine using helical blades with serrated edges�. A US patent has been issued on December 1, 2015 (Patent# 9200615).
� Extracurricular Activities
� 2014-2016: President of �Internet of Things, Cancer Genomics and Data Sciences Club�. The focus of this club was on Internet of Things (IoT) related to Smart Homes, Smart Cities, Healthcare and other systems based on sensor data analytics. These events were organized with sponsorship from companies in the Bay Area, CA.
� 2013-2014: Founder/President of �Cancer Genomics and Data Sciences Club� at Irvington High School. Co-organized Meetup community events for High School students on topics related to Cancer Genomics and Data Sciences with hands-on programming sessions on Big data sciences, Machine learning and Cancer Genomics at various industry locations sponsored by companies such as SGI, Teradata, etc., in Silicon Valley, CA.
� 2013-2015: Counselor in Training for the Teen Leadership Academy, City of Fremont, CA.
� Awards / Honors
� 2017-2018: Scholar in Dean�s list, College of Engineering, University of Illinois at Urbana Champaign.
� 2016: College Board AP Scholar with Honor.
� 2013-2015: 1st at High School Science Fairs and District Science Fair, Fremont, CA.
� 2013-2015: Air Force Award, and other awards at Alameda County Science and Engineering Fair, CA.
� 2014-2015: Two Presidential Volunteer Service Silver awards.
� 2012-2015: Blue Belt in Taekwondo.
� 2013-2015: Two 3-1 winning record awards in Debate Tournaments.
� Publications
� US Patents: 1) �Vertical axis wind turbine using helical blades with serrated edges� (Patent # 9200615); 2) �Method and Apparatus for combining techniques of Calculus, Statistics and Data Normalization in Machine Learning for analyzing large volumes of data� (Patent Issued, Appl # 14/815,987).
� 2018: Co-Presenter at Big Data Science Meetup, DataWorks Summit, San Jose, CA � �Deep Learning and Blockchain Smart Contracts�.
� 2017: Co-Presenter at Big Data Science Meetup, DataWorks and Hadoop Summit, San Jose, CA � �Deep-chain Learning�.
� 2014-2016: Presenter at Big Data Science Meetups, Bay Area, CA - �The Big Picture of Cancer Genomics�; �Big Data, Hadoop, NoSQL Graph databases and Cancer Genomics�; �CALSTATDN � A New Model for Sensor Data Analytics and Internet of Things�.
� 2015: Co-Presenter at Global Big Data Conference, Santa Clara, CA: �Combining Techniques of Calculus, Statistics and Data Normalization in CALSTATDN model�.
Ayush Sarkar
� Objective
Looking for internships in the areas of Deep Learning, Machine Learning, Blockchain-based applications, Internet of Things, Smart Analytics, Cloud Computing and general Real-world Applications focused on Artificial Intelligence.
� Education
University of Illinois at Urbana Champaign, IL (Aug 2016 � Present; Graduating May 2020)
� Undergraduate Student, College of Electrical and Computer Engineering; Major: Computer Engineering; Current GPA: 3.70
� Courses (2016-2018): Electrical and Computer Engineering/Computer Science: Introduction to Computing, Introduction to Electronics, Computer Systems and Programming (focusing on computer architecture, assembly language and C), Analog Signal Processing, Digital Systems Lab, Data Structures (focusing on data structures & implementations using C++, search on graphs & trees, and analysis of algorithms), Introduction to Data Mining, Statistics and Probability; Enrolled (Spring 2019): Introduction to Algorithms & Models of Computing, Artificial Intelligence, Digital Signal Processing; Mathematics: Multivariable Calculus, Differential Equations Plus, Discrete Math; Science: General Chemistry, University Physics - Mechanics, Electricity & Magnetism, Quantum Physics, Thermal Physics; Liberal Education Elective: World Religions, Indian Cinema in Context, Geographies of Globalization, Children, Communication & Language Ability, Logic and Reasoning, Startup Entrepreneurship.
� Computer Languages: Java, C/C++, Assembly, Python, Pascal.
Irvington High School, Fremont, CA (2012-2016): GPA 4.05
� Courses taken: Mathematics: Algebra 2 / Trig (Honors); Pre-calculus and AP Calculus; Science: AP Physics 1; AP Physics C; Biology (Honors); AP Statistics; AP Computer Science A; Languages: English (Honors); Spanish 1-4; Elementary & Intermediate Spanish (Ohlone college);
� Experience
� 5/18-8/18: Implemented an Auto-Insurance ecosystem for digital commerce using Blockchain Smart Contracts and Python-based Deep Learning for signatures, images and text recognitions in insurance forms, records and IDs, as a summer project through a startup company in Fremont, CA.
� 5/16-8/17: Performed research on Deep Learning and Blockchain and unifying them for Decentralized Autonomous Organizations.
� 5/14-8/15: Performed research on Sensor data analytics from IoT devices, collaborating with a mentor from Teradata Corporation. Implemented a smart home data analytics system using 2M records from 54 sensors within Intel-Berkeley Research Lab. Applied iterative machine learning model on the sensor data sets and showed significant reduction in time for processing and analysis.
� 1/13-5/14: Performed research and worked on a project, �An Information Supply Chain for Genome Analysis and Cancer Cure�. This project involved Big Data Analytics and Machine Learning methods on Amazon EMR. Collaborated with an external mentor at SGI Inc. Presented this project at AMPLAB, UC Berkeley.
� 5/12-1/13: Performed research and worked on a project, �Vertical axis wind turbine using helical blades with serrated edges�. A US patent has been issued on December 1, 2015 (Patent# 9200615).
� Extracurricular Activities
� 2014-2016: President of �Internet of Things, Cancer Genomics and Data Sciences Club�. The focus of this club was on Internet of Things (IoT) related to Smart Homes, Smart Cities, Healthcare and other systems based on sensor data analytics. These events were organized with sponsorship from companies in the Bay Area, CA.
� 2013-2014: Founder/President of �Cancer Genomics and Data Sciences Club� at Irvington High School. Co-organized Meetup community events for High School students on topics related to Cancer Genomics and Data Sciences with hands-on programming sessions on Big data sciences, Machine learning and Cancer Genomics at various industry locations sponsored by companies such as SGI, Teradata, etc., in Silicon Valley, CA.
� 2013-2015: Counselor in Training for the Teen Leadership Academy, City of Fremont, CA.
� Awards / Honors
� 2017-2018: Scholar in Dean�s list, College of Engineering, University of Illinois at Urbana Champaign.
� 2016: College Board AP Scholar with Honor.
� 2013-2015: 1st at High School Science Fairs and District Science Fair, Fremont, CA.
� 2013-2015: Air Force Award, and other awards at Alameda County Science and Engineering Fair, CA.
� 2014-2015: Two Presidential Volunteer Service Silver awards.
� 2012-2015: Blue Belt in Taekwondo.
� 2013-2015: Two 3-1 winning record awards in Debate Tournaments.
� Publications
� US Patents: 1) �Vertical axis wind turbine using helical blades with serrated edges� (Patent # 9200615); 2) �Method and Apparatus for combining techniques of Calculus, Statistics and Data Normalization in Machine Learning for analyzing large volumes of data� (Patent Issued, Appl # 14/815,987).
� 2018: Co-Presenter at Big Data Science Meetup, DataWorks Summit, San Jose, CA � �Deep Learning and Blockchain Smart Contracts�.
� 2017: Co-Presenter at Big Data Science Meetup, DataWorks and Hadoop Summit, San Jose, CA � �Deep-chain Learning�.
� 2014-2016: Presenter at Big Data Science Meetups, Bay Area, CA - �The Big Picture of Cancer Genomics�; �Big Data, Hadoop, NoSQL Graph databases and Cancer Genomics�; �CALSTATDN � A New Model for Sensor Data Analytics and Internet of Things�.
� 2015: Co-Presenter at Global Big Data Conference, Santa Clara, CA: �Combining Techniques of Calculus, Statistics and Data Normalization in CALSTATDN model�.