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Raghav's Resume
- 1. RAGHAV K SUBRAMANIAN rksubram@eng.ucsd.edu raghavsubramanian rksubram 858-247-9839 EDUCATION University of California, San Diego La Jolla, California Master of Science in Computer Engineering; GPA: 3.68/4 Sep’18-May ’20 Vellore Institute of Technology Chennai, India Bachelor of Technology, Electronics and Communication Engineering; GPA: 8.85/10 July ’12-May ’16 KEY SKILLS ○ Languages: Python, C++, Java, SQL, Perl ○ Deep Learning Frameworks: PyTorch, TensorFlow, Keras ○ Packages: Numpy, Scipy, Scikit-learn, Pandas, OpenCV, Pygame, Unity ○ Git for Version control, Comfortable with Unix environments ○ Familiar with using Jupyter Notebooks, Google Colab and Google Cloud Platform ○ Coursework Focus: Algorithms, Artificial Intelligence, Computer Vision and Language, Software ACADEMIC PROJECTS Multi-Object Detection using Convolutional Neural nets Python, Pytorch, OpenCV ○ Implemented a Single Shot Detector and a Denoising CNN for a 4k New York walking tour video ○ Identified a 33% increase in precision(mAP) score by cascading SSD and DnCNN architectures Finalist at Hackmobile - Qualcomm’s Intern Hackathon Python, Android Studio, Java ○ Designed a Social Assistant app to connect people based on common interests for Bose AR glasses ○ Created data pipeline to extract employee records, recommend connections and detect faces Optimizing AppSAT attacks using modified CNNSAT Neural nets Python, Pytorch, Bash ○ Implemented a modified CNNSAT architecture to optimize Boolean Satisfiability problem solving ○ Wrote scripts to extract data from SAT/UNSAT problems, splicing this for the neural network Open source contribution to TreeCluster tool Python, Pandas, Numpy, Scipy ○ Contributed a python utility to cluster genetic data using the right phylogenetic distance measure Ensemble Creation for Adversarial Resilience Python, PyTorch, Scipy ○ Designed a Support Vector Machine(SVM) using image features extracted from a Neural network ○ Implemented multiple clustering and sampling methods to create adversarially resilient ensembles WORK EXPERIENCE Teaching Assistant University of California, San Diego Fall ’19 ○ Teaching assistant for Machine Learning in Image Processing, for a class of 150 students Test Flow Development Intern Qualcomm Inc. Summer’19 ○ Contributed to production code for memory test flow, with scripts to benchmark tools and tests DFT Engineer Qualcomm Inc. July’16-June’18 AWARDS AND ACHIEVEMENTS ○ Mini-MBA in Technology management from Rady School of Management, UCSD ○ Institute of Global Entrepreneur fellow for Technology Management and Entrepreneurship, UCSD