Naga Sanketh Vysyaraju

*** * **** **, ***** Gras, Los Angeles, CA 90007

adj787@r.postjobfree.com, 323-***-****

EDUCATION

Master of Science in Computer Science Jan 2020-Present University of Southern California (USC) CGPA – 3.83/4 B. Tech in Computer Science Aug 2015-May 2019

Mahindra University (MU) CGPA – 9.7/10

COURSEWORK TAKEN: Databases, AI, Analysis of Algorithms, Advanced Data Structures, Math Intelligent Systems, Numerical Analysis, Software testing and verification, Machine Learning, Data Mining, Natural Language Processing. INTERNSHIP EXPERIENCE

Intern, Laboratoire de Recherche en Informatique, Université Paris-Sud May 2018-July 2018

Power and limitations of www keyword search for the specific knowledge domain of Graph Theory Theorems:

• Studied search results of theorems and definitions of a specific domain in Google to review results obtained.

• Conducted experiments to find a Google query that does not return expected results in order to prove Google is not sufficiently equipped to answer all queries.

• Worked on introducing a query language (similar to Google’s) and database model combination limited to sample domain to answer those queries, which gives better results than Google. RESEARCH EXPERIENCE

Cascading of Neural Networks to Increase accuracy on Disease datasets Sep 2018-May 2019

• Coordinated with a team of 4 to implement a bi-level Cascaded Neural Networks.

• Employed RBFN, PNN and SVM at one level and Logistic Regression at other level to increase predictive accuracy of PIMA Indian Diabetes dataset and obtained 87.6%. Academic Projects

Autonomous Driving Agent Sept 2020- Nov 2020

• We, team of 6 introduced a self-driving agent for simulation environment, Microsoft AIRSIM using Deep- Q-Network with Reinforcement Learning, Imitation Learning

• Implemented Frameworks of Computer Vision such as Mask-RCNN, YOLO to process images for input to detect lanes and objects.

• Achieved different objectives in multiple existing and custom environments deployed on Unreal Engine. Recommendation Systems Oct 2020- Oct2020

• Implemented Content based, Collaborative Filtering and Hybrid Recommender systems on Yelp dataset from scratch and also with XGBoost Library.

• Obtained an accuracy of 99.8% on content based, RMSE of 0.75 on item, user based CF models. Artificial Neural network Apr 2020-Apr 2020

• Developed an Multi-Layer Perceptron neural network model from scratch using backpropagation and trained it on 85% of the MNIST dataset to classify images of hand-written digits.

• Achieved an accuracy of 96% on the test data.

Alpha Go Agent Mar 2020-Mar 2020

• Created a Python based game playing agent from scratch for a shorter version of Alpha Go based on Alpha- beta pruning with min-max algorithm.

• Accomplished a winning rate of above 90 percent against equal quality agents. Optimal Path Search Jan 2020-Feb 2020

• Built a program in Python to find optimal path between two points in a world of grids on axis connected with bi-directional edges between points inside grids.

• Search techniques A*(Diagonal distance as heuristic), Uniform-cost, BFS are used to accomplish this. PUBLICATIONS

Ramalingaswamy Cheruku, Vysyaraju Naga Sanketh, et al. “A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis”, IEEE TENCON, “https://ieeexplore.ieee.org/abstract/document/8929378”, India, Dec 2019 Ramalingaswamy Cheruku, Vysyaraju Naga Sanketh, et al. “Rule Extraction Algorithms on type-2 Diabetes Data”, International Journal of Recent Technology and Engineering ISSN: 2277-3878, Volume-7, Issue-5S4, Feb 2019 TECHNICAL SKILLS

Languages: C, Java, Python, MATLAB, HTML, CSS, Simulink. Database : MySQL, Oracle SQL, PostgreSQL.

Frameworks : NumPy, Matplotlib, Scikit-learn, Spark, PyTorch. Software Tools: Adobe Premier Pro CC, Amazon S3, HTML, LaTeX, Selenium, (Weka, KNIME, Rapid Miner) (Basic). ACTIVITIES

• Organized, lead and engaged several students in online and on-campus events as a Dell Campassador at MU.

• Received a scholarship of 4 lakhs rupees ($ 5400) for academic excellence by Mahindra University, Aug 2015- Jul 2019.

• Was in Top-3 of Low RMSEs for competition project on Recommendation System in a class of 90.

• Maintaining connection between multiple USC-Orgs/profs as a Deputy Director of Relations - Association of Indian Students.