I'm Suyash Sardar

Graduate Student at USC,Programming Enthusiast,Budding Machine Learning Engineer|

Name: Suyash Sardar

Email: ssardar@usc.edu

Phone: (213) 291-4805

About me

Highly motivated computer science graduate student at USC (Class of 2021). My interests lie in the field of software engineering, machine learning and computer vision.

Interested in designing and deploying altruistic AI applications to help solve real-world problems

Skill

Java 95%
Python 85%
C, C++ 90%
FrontEnd: HTML, CSS, JavaScript, AngularJS 85%


BackEnd: PHP, Flask, NodeJS 90%
Machine Learning Algorithms 85%
NO SQL (MongoDB, Cassandra, DynamoDB) 85%
SQL (PostgreSQL) 85%



Education

University of Southern California

Masters in Computer Science

2018 - 2020

  • CGPA: 3.7/4.00
  • Coursework:
    • CSCI 570: Analysis of Algorithms
    • CSCI 402: Operating Systems
    • CSCI 567: Machine Learning
    • CSCI 571: Web Technologies
    • CSCI 585: Database Systems
    • CSCI 455: Programming System Design
    • CSCI 561: Foundations of Artificial Intelligence
    • CSCI 572: Information Retrieval and Web Search Engines

Vishwakarma Institute of Technology

Bachelors of Technology in Mechanical Engineering

2014 - 2018

  • CGPA: 9.08/10.00 (WES: 3.99/4.00)
  • Represented the univeristy at IIT Bombay Eyantra Robotics Competition 2017 and won the regional finals.
  • Represented the univeristy and co-led a team of 30 individuals in building a counterpart of a Formula 1 vehicle for SAE Supra 2016 national competition(AIR: 16/152 teams).
  • Served as the Chairperson of SAE (Society of Automotive Engineers) org. and led a team of 18.
  • Secured a score of 317/340 in GRE with AWM of 5.0/6.0
  • Secured a score of 116/120 in TOEFL (99th percentile across the world).
  • Awarded scholarship for all 4 years of undergradaute program for exemplary academic performance.
    •

Laxmanrao Apte Prashala

High School

2012 - 2014

  • HSC XII : Percentage: 94% | Secured 99.85 Board Percentile among 1.4 million+ students.
  • Secured 96.3 Percentile in IIT JEE national level entrance exam (among 2 million+ students all over India)- Physics/Chemisty/Maths
  • Felicitated for ranking in top 3 among 150 students in school and scoring highest marks in Computer Science Course (195/200)
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The Bishop's School

School

2000 - 2012

  • ICSE X : Percentage: 96% | Ranked second among 300 students with an award for computer science perfect score (100/100).
  • Received 'Best Scholar of the Year' Award for 3 consecutive years.
  • Recevied over 15 awards over a period of 11 years for exceptional academic performance and top ranking.
    •




Experience

Salesforce

Incoming Software Engineering Intern

May 2020 - August 2020

  • Part of the Mulesoft team.

    •

    Viterbi School of Engineering, USC

    Teaching Assistant

    August 2019 - Current

  • Course: CSCI 455: Programming System Design
  • Taught by: Prof. Claire Bono
  • Responsibilities include:
    • Designing assignments.
    • Conducting lab sessions covering programming concepts (in java) for around 100 students.
    • Holding office hours and grading exams.

    Verkada

    Software Engineering Intern

    May 2019 - August 2019

  • Contributed over 2500 lines of production code which supports tens of thousands of customer cameras, while working in ‘Smart Cameras’ backend team.
  • Designed a better integration test module for backend services reducing overall testing time by 30%, thereby improving the lead time for the CD pipeline.
  • Improved customer dashboard-experience by adding new features for archived videos, while collaborating with designers and engineers and implementing REST APIs for microservices.
  • Participated in weekly sprints and pair programming sessions to debug production code, monitor and fix code deployments, software updates using APMs.
    •

    Viterbi School of Engineering, USC

    Directed Research

    August 2019 - December 2019

  • Research Mentor: Dr. Prof. Saty Raghavachary
  • The topic for research was 'Architecture Modification Algorithms for Neural Networks'.
  • Studied and reviewed algorithms including:
    • NAS(Neural Architecture Search)
    • Neuroevolutionary/Genetic algorithms like NEAT (NeuroEvolution of Augmenting Topologies), WANN (Weight Agnostic Neural Networks)
    • NAO (Neural Architecture Optimization)

    • Center for Artificial Intelligence (CAIS)

    Student Researcher

    October 2018 - April 2019

  • Project aimed at detecting poaching activities and animals in forests of South Africa using deep learning techniques on thermal infrared video feeds from drones.
  • Worked on deployment of trained Tensorflow models on edge computing device (Intel Movidius Stick) for inference purpose on site.
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    Team Veloce Racing

    Field Engineer - Formula 1 Vehicle

    June 2016 - July 2017

  • Co-led a team of 30 individuals in building a counterpart of a Formula 1 vehicle.
  • Raised over 5000$ in sponsorship by pitching organization’s initiative in front of potential MNCs.
  • Worked in the engine and electronics department, improved acceleration response of engine (Yamaha R6) by analysis, parameter tuning, and ECU based engine mapping using various sensors: temperature, humidity, throttle body, etc. (Acceleration 75m in 4.8 seconds).
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    Projects

    AI agent for playing GO

    Artificial Intelligence

    Part of Speech Tagging using Hidden Markov Models

    NLP

    Product Search Website

    Web Design

    Optimal path search in 3D

    Artificial Intelligence

    Autonomous Robot Security System for Data centers

    Machine Learning

    Mine Sweeper Game - Java

    Java

    Intelligent Case for Protecting Smartphones using Neural Networks

    Machine Learning

    eBay Clone (Android App)

    Android
    Get in Touch

    • 3025 Royal Street, Los Angeles, California - 40007
    • (213) 291-4805
    • ssardar@usc.edu