Student Assistant Hadoop

Srijan Prasad Joshi

551-***-**** *******@******.*** github.com/srijan1214

SUMMARY

Passionate computer science graduate with a strong foundation in mathematics seeking work opportunities. EDUCATION

Bachelor of Science in Computer Science, Ramapo College of New Jersey, Mahwah, NJ, May 2021

Presidential Scholarship

Minor in Mathematics

Relevant Courses: Artificial Intelligence, Robotics, Multi-variable Calculus, Analysis of Algorithms, Unix Environment, Data Structures, Organization of Programming Languages, Object-Oriented programming, Web Applications, Operating Systems, .Net, Software Design, Number Theory, Database Design, Organization of Programming Languages,

GPA: 3.71 / 4.0

TECHNICAL SKILLS

Programming Languages: Proficient in C++ and Python. Experienced in Java, JavaScript, C#, Clisp, SQL, HTML, CSS.

Tools: TensorFlow, scikit-learn, Matplotlib, Hadoop, Spark, Node, jQuery, VueJS, Express, Bootstrap CSS, MongoDB, MySQL

Platforms: Microsoft Visual Studio, Android Studio, Eclipse, Vim, Git, Linux CLI, VSCode

Concepts: Machine Learning, Object-Oriented Programming, Functional Programming, Databases, Data Visualization, Web Development

PROJECTS

Digit-Recognition Neural Network, May 2019 (C++ 11 STL)

Created a neural network in C++ to recognize handwritten numbers using only the standard C++ library and no external APIs.

Implemented Stochastic Gradient Descent, with multiple hidden layers to achieve an accuracy of around 93 percent on the MNIST testing data.

Chess AI Web Application, June 2020 (ReactJS, NodeJS, CSS, ajax, bootstrap 4, HTML 5)

Created a full-stack project in which the users play chess against a strong AI.

Utilized the alpha-beta search algorithm to find quasi-optimal gamestates. The search algorithm utilizes piece-value-tables for the static evaluation .

Implemented the killer move heuristic and the MVVLVA heuristic to improve search efficiency. Chess Move Neural Network, January 2020 (Python3, TensorFlow Keras, Multi-processing, Google Cloud)

Made a neural network to select among the 4032 possible actions in chess.

Trained the neural network using millions of grandmaster games position.

Designed the network architecture using CNNs and Residual Neural Networks. Uses the adam optimizer. Epuck-Robot Autonomous Navigation, March 2021 (C++ 20, WeBots, Python3, Eigen3, tkinter)

Created a controller for the epuck robot in Webots that utilizes light sensors.

Implemented the RRT algorithm and utilized an occupancy map to facilitate autonomous navigations.

Made the agents capable of navigating unknown maps and clearing obstacles.

Facilitated the occupancy map visualization through Python’s tkinter library. TECH WORK EXPERIENCE

Ramapo College of New Jersey, Information Technology Services, Mahwah, NJ, May 2018–May 2021 Student Assistant

Repair computers, install new operating systems, write Windows scripts to solve commons issues and solve various types of technical problems.

Provide IT helpdesk customer support through phone calls and email management.

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