Vatsal Chanana — Software Engineer

Currently working as a ML Research Engineer at Waymo (formerly Google self driving project) in Behavior Prediction. M.S.E. - Computer and Information Science from the University of Pennsylvania with a concentration in intelligent systems. Spent the summer using deep learning to improve self-driving technology at Uber ATG. Worked with D.E. Shaw for 2 years as a full stack web developer for the electronic trading platform, internal applications and data analytics systems. Bachelor of Engineering (Information Technology) from University of Delhi (Netaji Subhas Institute of Technology) scoring 80.57% and achieving the fourth department rank in academic performance. Internship experiences at HackerRank and IBM India Software Labs with project profiles covering software development, database development and creation of problems in data structures, algorithms and artificial intelligence domains. Consistently achieved high ranking on competitive programming platforms like ACM ICPC, ACM APC, Topcoder and Codeforces. Completed a number of online courses on deep learning, machine learning, web application architectures and algorithm design and analysis. Giving back to society through continuous volunteering with Non-Government Organizations working in the field of school education.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Autonomous Vehicles and Software Development.

Location: San Francisco, California, United States

Experience: 9 yrs 1 mo

Skills

Deep Learning
Machine Learning
Software Development
Algorithms

Career Highlights

Expert in developing deep learning models for autonomous vehicles.
Strong background in full stack development and data analytics.
Consistent high performer in competitive programming.

Work Experience

Waymo

Staff Software Engineer, Predictive Planner, Deep Learning (9 mos)

Senior Software Engineer, Deep Learning for Planning and Prediction (2 yrs)

Software Engineer 4, Behavior Prediction (1 yr 5 mos)

Software Engineer 3, Behavior Prediction (1 yr 7 mos)

University of Pennsylvania

Graduate Teaching Assistant (4 mos)

Research Assistant @ GRASP Lab (8 mos)

Graduate Teaching Assistant (1 yr)

Uber

Prediction Intern - Uber Advanced Technologies Group (3 mos)

Coderoulette

Problem Curator (2 mos)

The D. E. Shaw Group

Software Engineer (2 yrs)

HackerRank

Problem Curator Intern (1 mo)

Software Engineer Intern (1 mo)

India Software Lab - IBM

Software Development Intern (1 mo)

Education

Master of Science in Engineering at University of Pennsylvania

Bachelor of Engineering at Netaji Subhas Institute of Technology

High School at Apeejay School,Pitampura

Vatsal Chanana

Software Engineer

San Francisco, California, United States9 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing deep learning models for autonomous vehicles.
Strong background in full stack development and data analytics.
Consistent high performer in competitive programming.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Autonomous Vehicles and Software Development.

Contact

Skills

Core Skills

Deep LearningMachine LearningSoftware DevelopmentAlgorithms

Other Skills

C++LinuxSQLCWindowsDatabasesOperating SystemsHTMLJavaReact.jsMavenPythonDjangoreduxJavaScript

About

Experience

9 yrs 1 mo

Total Experience

3 yrs

Average Tenure

5 yrs 9 mos

Current Experience

Waymo

4 roles

Staff Software Engineer, Predictive Planner, Deep Learning

Promoted

Jul 2025 – Present · 9 mos

End to end deep learning models for behavior prediction and planning

Senior Software Engineer, Deep Learning for Planning and Prediction

Promoted

Jul 2023 – Jul 2025 · 2 yrs

End-to-end deep learning models for behavior prediction and planning

Software Engineer 4, Behavior Prediction

Feb 2022 – Jul 2023 · 1 yr 5 mos

Software Engineer 3, Behavior Prediction

Jul 2020 – Feb 2022 · 1 yr 7 mos

University of pennsylvania

3 roles

Graduate Teaching Assistant

Jan 2020 – May 2020 · 4 mos

Head TA for CIS 545: Big Data Analytics
TA for CIS 522: Deep Learning for Data Science

Research Assistant @ GRASP Lab

Sep 2019 – May 2020 · 8 mos

Graduate Teaching Assistant

Jan 2019 – Jan 2020 · 1 yr

CIS 545: Big Data Analytics

Uber

Prediction Intern - Uber Advanced Technologies Group

May 2019 – Aug 2019 · 3 mos · Pittsburgh, Pennsylvania

Applied research intern in the prediction team to estimate actor future trajectories using data-driven machine learnt approaches.
Built, trained, and evaluated ML models in offboard pipelines and implemented real-time inference systems for actor prediction onboard the autonomous vehicle

Coderoulette

Problem Curator

Aug 2016 – Oct 2016 · 2 mos · Remote

Coderoulette is a pair programming game where we match developers from all around the world and give them coding challenges that they have to solve in real-time using video conference and a collaborative programming environment.
https://medium.com/@arielcamus/coderoulette-a-collaborative-learning-experiment-35e9b8205bfe

The d. e. shaw group

Software Engineer

Jul 2016 – Jul 2018 · 2 yrs

Worked as a full-stack developer in the Front Office Discretionary division.
Redesigned and rewrote a legacy application for recruiting analytics and recruiting functionalities.
Developed an automated request handler to identify different types of support and reporting requests for different business
Worked on development of ETLs using Spring Batch
Extensively worked with Java, Spring, Maven, Python, Pandas, Spring, React, Redux, Slickgrids and MyBatis

Hackerrank

2 roles

Problem Curator Intern

Dec 2015 – Jan 2016 · 1 mo · Bangalore

Developed programming challenges on graph algorithms, dynamic programming, segment trees, greedy algorithms, object-oriented programming and language-specific challenges for the community website.