Lalit Agarwal

Lalit Agarwal

Masters, Computer Science,
University of Waterloo, Canada

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Experience

TribalScale

Software Engineer

2018 - Present


- Worked with various clients on multiple web and mobile projects using agile methodologies (Extreme programming) during the entire software development cycle including TDD, pair-programming.
- Worked on developing and testing backend API integrations for retrieving and booking gas and parking orders for given search parameters using NodeJS, AWS tools (Lambda functions, Kinesis, DynamoDb).
- Worked on an Android media player app for listening to live radio stations and podcasts with more than 2 million daily active users.

TradeRev

Software Engineer

2016 - Present


- Delivered new features for both the TradeRev and Adesa Upstream Android apps which is used by thousands of users on a daily basis.
- Used both Java and Kotlin with the best software development practices to implement new features and fix bugs.
- Worked with the product, design and QA teams to refine requirements and prototypes according to the product roadmap.
- Responsible for reviewing production issues, training and mentoring junior Android developers.

University of Waterloo

Graduate Research Assistant

2015 - 2016


- I worked as a graduate research assistant under the supervision of Prof. Urs Hengartner on designing new lock schemes for re-authenticating Android users.

Technology Information, Forecasting and Assessment Council (TIFAC), India

Research Associate

Sep, 2013 - June, 2014


- I worked on developing web-applications for use within the organization.
- I was also involved in maintaining organization’s network performance by performing network monitoring and analysis, preventing any unauthorized access to the network by defining access privileges, conducting security analysis of a few third-party applications being used in the organization.

Bell Labs, India

Research Intern

Winter 2013


- Conducted a research study to understand and address the concerns of web users in India towards online advertising.
- The user perception of on-line ads was investigated through a user study which was then followed by developing a selective ad-blocking browser plugin.

Skills

Programming Languages
Java, Kotlin, NodeJS

Technologies
AWS tools (Lambda functions, Kinesis, CloudWatch), Android, Espresso, RxJava, Spring Boot, GraphQL, Rest API, Matlab, Postman, JIRA

Databases
DynamoDb, SQL, SQLite, Realm, Room

Publications

“Evaluating re-authentication strategies for smartphones”, SOUPS 2016
Lalit Agarwal, Hassan Khan, Urs Hengartner, University of Waterloo, Canada

“Re-Examining User Concerns for Online Tracking and Advertising”, SOUPS 2013
Lalit Agarwal, Nisheeth Shrivastava, Sharad Jaiswal, Saurabh Panjwani, Bell Labs Research, Bangalore, India

Education

University of Waterloo, Canada

Master of Mathematics in Computer Science

2014 - 2016


Relevant Coursework- Introduction to Artificial Intelligence, Advance Topics in HCI: Human in the Loop Systems, Cryptography/Network Security, Advanced Topics in Software Engineering: Empirical Software Evolution, Cloud Computing and Software-Defined Networking.

Dhirubhai Ambani Institute of Information and Communication Technology, India

Bachelor of Technology in Information and Communication Technology

2009 - 2013


Relevant Coursework- Data Structures and Algorithms, Operating System, Introduction to Algorithms, Digital Signal Processing, Operating Systems, Introduction to Cryptography, Sensor Network Systems, Introduction to Graph theory, System and Network Security, Security Protocols, Network Protocols.