Computer Engineering, python, ML/DL, robotics

SACHIN GURUSWAMY

Master’s Student in Computer Engineering

[ ******.*********@*****.*** 7 @GuruswamySachin linkedin.com/in/sachin-guruswamy github.com/saching13 RELEVANT EXPERIENCE & RESEARCH

Research Assistant Level curve tracking in a spatial-temporal varying field using multi-robots, Prof. Wencen Wu

Jan 2019 – Ongoing San Jose State University

• Developing and experimenting novel curve tracking approaches in spatial-temporal field for multi-robot in matlab.

• Implementing these algorithms in ROS for testing performance on robots (includes Localization using LIDAR, teleop). Machine Learning Engineer SafeHalo Pvt Ltd.

Sep 2016 - May 2018 Bangalore, India

• Trained a dlib face detector model using the manually collected dataset by installing the camera in buses that travel in night time to determine drowsiness of driver which is being used in VRL.

• Trained the model to predict which vehicle is moving in and out of the VRL depot using a manually labeled number plates with variations in fonts.

• Implemented shirt verification algorithm on employee monitoring android application and location authentication using BLE.

• Worked with AWS EC2 to deploy face authentication back-end of employee monitoring system using Django framework.

• Worked on accelerometer using I2C protocol in embedded to determine the state of the smart ear device.

Project Lead Activity Span prediction in an untrimmed video to recommending relevant part of the video

Aug 2019 – Ongoing San Jose State University

• Building a state-of-the-art deep learning model to determine the activity with it’s offset time from the video start time.

• Implemented segmentation proposal network to detect the po- tential segments in a video which might contain activity with an accuracy > 80%

Project Lead Badminton shot classification and pose estimation to provide players training statistics

Nov 2019 CalHacks, UC Berkeley

• Implemented an algorithm that uses the pose learnings from the professional players to determine ways to improve the amature player.

• Achieved 84% accuracy in type of shot detection.

• Trained on a manually curated dataset of 2000+ frames from broadcast games.

Technical Engineer Intern Synopsys

May 2019 - Aug 2019 Mountain View, CA

• Implemented tracing in the back-end of LLVM for ARC architec- ture in C++.

• Implemented and executed test cases for tracing using ARC Jenkin’s

• Worked with perforce version system and synopsys farm(CentOS). EDUCATION

San Jose State University 20’

M.S. in Computer Engineering (GPA: 3.7)

Visveswaraya Technological Univer-

sity, India 20’

B.E. in Electronics and Communication

PROJECTS

Object Detection on live video feed

from Theta 360

Oct 2019 - Jan 2020 San Jose State University

Built a stream from 360 to jetson TX2 for

live object detection over stereographic pro-

jection of the frames.

Recommendation System for Kindle

books, In class Kaggle

Oct 2019 San Jose State University

This recommendation system was build by

combining the features from both review

and ratings using pyspark framework.

Evaluating Validity of Synthetic data

in Perception tasks for Autonomous

Vehicles

Dec 2019 San Jose State University

Led a team of three to determine how well

the the model trained with synthetic data

will work in a real world scenario by training

multiple models from different datasets.

CERTIFICATIONS AND

PUBLICATIONS

Evaluating Validity of Synthetic data

in Perception tasks for Autonomous

Vehicles

IEEE AI Test Conference Publication

Deep Learning Specialization

Coursera Certification

Data Engineering Quest

Qwiklabs Certification

TECHNICAL SKILLS

Programming: C++, Python(numpy, sklearn,

Pandas, Django), Matlab, Java, Protobuf,

MySql, Bash, Linux.

Tools/Technology: Git, Tensorflow, Pytorch,

OpenCV, NLP, ROS, SLAM, Apache Spark,

Hadoop, Jetson TX2, AWS, GCP, Docker.

Coursework: Data Structures, Deep Learn-

ing, Machine Learning, Reinforcement Learn-

ing, Autonomous cars, LSA.

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