- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
Definition of Reputation Credits
Shivam Swarnkar
A problem solver looking for opportunities where programming, reasoning, analyzing and mathematical skills can be applied to solve real-world problems.
[email protected]
(347) 605-7438
Education
New York University, Tandon (Poly) School of Engineering, New York, NY
Bachelor of Science, 2018 GPA: 3.84 (Dean’s List Candidate)
Major: Computer Science and Engineering
Minor: Business Studies (NYU CAS & Stern)
Technical Skills & Tools
• Python, C++/C, MATLAB, Java, Unity3D (C#), Arduino/Flora/BS2
• Machine Learning and Deep Learning (Familiar with Scikit-learn, Tensor Flow, Numpy, Matplotlib, Pandas)
• Parallel Computing (Familiar with MPI, OpenMP & CUDA)
Experience
Course Assistant, CSE department at NYU, New York, NY 01 Jan 2017 - 16 May 2017
Helped in designing coursework (exam questions, homework, mini project and in-class activities) for Intro to CS
class of more than 120 students. Also held office hours and graded students’ coursework.
Course Assistant, CSE department at NYU, New York, NY 01 Jan 2017 - 16 May 2017
Helped in designing coursework (exam questions, homework, mini project and in-class activities) for Intro to CS class of more than 120 students. Also held office hours and graded students’ coursework.
Teaching Assistant, CSE department at NYU, New York, NY 1 Sep 2015 - 23 Dec 2015
Taught procedural problem solving and programming with Python. Conducted Recitations, prepared exam questions, graded homework and held office hours for classes of more than 60 students.
Teaching Assistant, CSE department at NYU, New York, NY 1 Sep 2015 - 23 Dec 2015
Conducted Recitations and design homework for Programming with Python class. Prepared exam questions and helped designing the curriculum
Projects
Online Path Finding Algorithm 23 Jan 2017 - 16 May 2017
A Team project to develop, design, implement and analyze two new path finding algorithms (in an unknown environment). Algorithms were tested with a MATLAB disk robot simulation
Online Path Finding Algorithm 23 Jan 2017 - 16 May 2017
A Team project to develop, design, implement and analyze two new path finding algorithms (in an unknown environment). Algorithms were tested with a MATLAB disk robot simulation
US-Election2016-Analysis 23 Jan 2017 - 16 May 2017
A personal project to analyze county results of 2016 US
Election with various demographic features like population
density, age, education and etc. Linear Regression, fully
connected neural network layers and subset regression were
used to analyze and find patterns.
US-Election2016-Analysis 23 Jan 2017 - 16 May 2017
A personal project to analyze county results of 2016 US Election with various demographic features like population density, age, education and etc. Linear Regression, fully connected neural network layers and subset regression were used to analyze and find patterns.
Improving End-to-End Learning for Negotiation
Dialogues 23 Feb 2018 - Present
A team project to improve and expand the already
existing methods of end-to-end learning for
negotiation, with the implementation of MCT and
integration of a fluency metric
Improving End-to-End Learning for Negotiation Dialogues 23 Feb 2018 - Present
A team project to improve and expand the already
existing methods of end-to-end learning for
negotiation, with the implementation of MCT and
integration of a fluency metric
GitSync 25 Sep 2017 - Present
A team project to build a sublime text plugin which makes
Git more intuitive and easier to control. Plugin includes graphical user interface, key binding commands and autosave features to make git easier for beginners.
GitSync 25 Sep 2017 - Present
A team project to build a sublime text plugin which makes
Git more intuitive and easier to control. Plugin includes graphical user interface, key binding commands and autosave features to make git easier for beginners.
Algo-Analysis 8 Dec 2016 - 14 Dec 2016
A project to help students, learning AI algorithms, to visually see how various AI algorithms work. Implemented a graphical interface in Java, which lets user build a map (of any size with obstacles, start position and goal position) and select an algorithm (A*, Hill-Climbing, BFS & DFS). System then visually show user how algorithm explores the map to reach the goal.
Algo-Analysis 8 Dec 2016 - 14 Dec 2016
A project to help students, learning AI algorithms, to visually see how various AI algorithms work. Implemented a graphical interface in Java, which lets user build a map (of any size with obstacles, start position and goal position) and select an algorithm (A*, Hill-Climbing, BFS & DFS). System then visually show user how algorithm explores the map to reach the goal.
Awards & Leadership Activities
• Dean's list candidate [2014-Current]
• Received Tandon Scholarship worth $27K per annum [2014-2018]
• Student Union President [2011 & 2013]
• Class President [2003-2010]
Shivam Swarnkar
A problem solver looking for opportunities where programming, reasoning, analyzing and mathematical skills can be applied to solve real-world problems.
[email protected]
(347) 605-7438
Education
New York University, Tandon (Poly) School of Engineering, New York, NY
Bachelor of Science, 2018 GPA: 3.84 (Dean’s List Candidate)
Major: Computer Science and Engineering
Minor: Business Studies (NYU CAS & Stern)
Technical Skills & Tools
• Python, C++/C, MATLAB, Java, Unity3D (C#), Arduino/Flora/BS2
• Machine Learning and Deep Learning (Familiar with Scikit-learn, Tensor Flow, Numpy, Matplotlib, Pandas)
• Parallel Computing (Familiar with MPI, OpenMP & CUDA)
Experience
Course Assistant, CSE department at NYU, New York, NY 01 Jan 2017 - 16 May 2017
Helped in designing coursework (exam questions, homework, mini project and in-class activities) for Intro to CS
class of more than 120 students. Also held office hours and graded students’ coursework.
Course Assistant, CSE department at NYU, New York, NY 01 Jan 2017 - 16 May 2017
Helped in designing coursework (exam questions, homework, mini project and in-class activities) for Intro to CS class of more than 120 students. Also held office hours and graded students’ coursework.
Teaching Assistant, CSE department at NYU, New York, NY 1 Sep 2015 - 23 Dec 2015
Taught procedural problem solving and programming with Python. Conducted Recitations, prepared exam questions, graded homework and held office hours for classes of more than 60 students.
Teaching Assistant, CSE department at NYU, New York, NY 1 Sep 2015 - 23 Dec 2015
Conducted Recitations and design homework for Programming with Python class. Prepared exam questions and helped designing the curriculum
Projects
Online Path Finding Algorithm 23 Jan 2017 - 16 May 2017
A Team project to develop, design, implement and analyze two new path finding algorithms (in an unknown environment). Algorithms were tested with a MATLAB disk robot simulation
Online Path Finding Algorithm 23 Jan 2017 - 16 May 2017
A Team project to develop, design, implement and analyze two new path finding algorithms (in an unknown environment). Algorithms were tested with a MATLAB disk robot simulation
US-Election2016-Analysis 23 Jan 2017 - 16 May 2017
A personal project to analyze county results of 2016 US
Election with various demographic features like population
density, age, education and etc. Linear Regression, fully
connected neural network layers and subset regression were
used to analyze and find patterns.
US-Election2016-Analysis 23 Jan 2017 - 16 May 2017
A personal project to analyze county results of 2016 US Election with various demographic features like population density, age, education and etc. Linear Regression, fully connected neural network layers and subset regression were used to analyze and find patterns.
Improving End-to-End Learning for Negotiation
Dialogues 23 Feb 2018 - Present
A team project to improve and expand the already
existing methods of end-to-end learning for
negotiation, with the implementation of MCT and
integration of a fluency metric
Improving End-to-End Learning for Negotiation Dialogues 23 Feb 2018 - Present
A team project to improve and expand the already
existing methods of end-to-end learning for
negotiation, with the implementation of MCT and
integration of a fluency metric
GitSync 25 Sep 2017 - Present
A team project to build a sublime text plugin which makes
Git more intuitive and easier to control. Plugin includes graphical user interface, key binding commands and autosave features to make git easier for beginners.
GitSync 25 Sep 2017 - Present
A team project to build a sublime text plugin which makes
Git more intuitive and easier to control. Plugin includes graphical user interface, key binding commands and autosave features to make git easier for beginners.
Algo-Analysis 8 Dec 2016 - 14 Dec 2016
A project to help students, learning AI algorithms, to visually see how various AI algorithms work. Implemented a graphical interface in Java, which lets user build a map (of any size with obstacles, start position and goal position) and select an algorithm (A*, Hill-Climbing, BFS & DFS). System then visually show user how algorithm explores the map to reach the goal.
Algo-Analysis 8 Dec 2016 - 14 Dec 2016
A project to help students, learning AI algorithms, to visually see how various AI algorithms work. Implemented a graphical interface in Java, which lets user build a map (of any size with obstacles, start position and goal position) and select an algorithm (A*, Hill-Climbing, BFS & DFS). System then visually show user how algorithm explores the map to reach the goal.
Awards & Leadership Activities
• Dean's list candidate [2014-Current]
• Received Tandon Scholarship worth $27K per annum [2014-2018]
• Student Union President [2011 & 2013]
• Class President [2003-2010]