Shivam T.

Director of Engineering

Bengaluru, Karnataka, India7 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Scaled engineering to 60 million monthly active users.
Achieved a Net Promoter Score of 82 in a competitive market.
Led teams through rapid growth and technology transitions.

Stackforce AI infers this person is a SaaS Engineering Leader with expertise in scaling products and teams in the EdTech sector.

Contact

shivam@wayground.com LinkedIn

Skills

Core Skills

LeadershipMachine LearningEngineeringNode.jsData ManagementAiC++Computer Vision

Other Skills

Adobe PhotoshopAdsenseAmazon EC2Amazon Web Services (AWS)AnalyticsArchitectureCData AnalysisData PipelineData StructuresDoubleClick for Publishers (DFP)ECSElasticSearchElasticsearchGenerative AI

About

Addressing engineering and product challenges at a rapidly growing, VC-funded startup based out of Bangalore. Successfully helped scale engineering and product to a 60 million monthly active users (MAUs), helped grow the company from seed to series B, achieving a Net Promoter Score (NPS) of 82 in a highly competitive U.S. ed-tech ecosystem. Hired, built from scratch and led teams tackling open-ended challenges across different verticals in engineering, growth and product.

Experience

Wayground (formerly quizizz)

5 roles

Senior Engineering Manager

Promoted

Jul 2024 – Present · 1 yr 8 mos

Mar 2025 - Present
Leading three teams: Resource Library, Search & Discovery, Growth & Monetization - a cross functional team with 30+ engineers spread across backend, frontend, AI and machine learning.
Mar 2024 - Feb 2025: Search And Discovery
Established the first machine learning vertical from scratch within the organization. Built and led a team of 15 engineers spread across backend, frontend and machine learning. Built complex systems to solve for demand understanding, supply understanding, retrieval systems and rankers.

LeadershipMachine LearningSystem DesignEngineering

Engineering Manager

Jul 2022 – Jun 2024 · 1 yr 11 mos

Jun 2023 - March 2024: Creator Tools
Firefighter. Led the transition of engineering from 0-1 to 1-10 phase for the core teacher product. Re-architected key components to stabilize systems that evolved rapidly to handle the chaos that comes with tripling the team in a matter of months. Led the transition and update of technology stack across the organisation, re-engineered the core creator tools like editor and led the separation of the core content micro-service from the monolith, introducing engineering processes and excellence to help team scale.
Actively involved in all major engineering decisions across the organization.
Jul 2022 - May 2023: Growth Team
Navigated growth in post pandemic headwinds. Focused on stabilizing activation rate and user churn.
Bar raiser for the interviews. Interviewed over 500 candidates in different formats.Navigated growth in post pandemic headwinds. Focused on stabilizing activation rate and user churn. Bar raiser for the interviews. Interviewed over 500 candidates in different formats.

EngineeringLeadershipSystem Design

Senior Software Engineer

Promoted

Jan 2021 – Jun 2022 · 1 yr 5 mos

Handled real time low latency pub-sub game systems handling with over 100M questions solved everyday. Owned high write and read throughput systems with over 500k rpm, diverse sharded databases, complex locking within distributed systems in limited budget.

Software Development Engineer II

Promoted

Jul 2019 – Dec 2020 · 1 yr 5 mos

Software Development Engineer I

Jul 2018 – Jun 2019 · 11 mos

Metabrainz foundation inc.

Google Summer of Code

Apr 2018 – Aug 2018 · 4 mos

I worked on the BookBrainz project, which is a project to create an online database of information about every single book, magazine, journal and other publication ever written. All the data that is collected is made available to the whole world to consume and use as they see fit. Data comes through contributors to BookBrainz, who edit or add the information.
In this project, I worked on developing an infrastructure for and importing data from third party sources into the BookBrainz, such that the community editors can quality check and edit/remove the imported data as they think fit before adding it into the BookBrainz database. Apart from that, I worked on writing userscripts which run on the user's browsers such that they can be used to imported the data from websites like Amazon.
Written in Nodejs, primary challenges I solved revolved around handling asynchronous optimizations and data pipeline backpressure, apart from building scalable micro-services architecture to support rapid data import and memory management for transfer of data.
Postgres, RabbitMQ, Nodejs, Reactjs, Elasticsearch, Javascript, Knex

Node.jsData PipelineMicro-services ArchitectureData Management

Motilal nehru national institute of technology

Summer Research Intern

Jun 2017 – Jul 2017 · 1 mo · Greater Allahabad Area

Community Detection in Complex Networks by developing and testing algorithms which provide heuristic based solutions to the problems.
Optimization Techniques, AI, Genetic Algorithms, NSGA2, C++, pthreads, docker

C++Optimization TechniquesAI

Indian institute of technology, kanpur

Summer Research Intern

May 2016 – Jul 2016 · 2 mos · Greater Lucknow Area

Nissan-Renault funded Computer Vision aided Driver Assistance System (IOV).
I initially had to build a proof of concept tool demonstrating that a minimum of four cameras at correct slant angles and heights can give a 360 degree view around a vehicle. This was to be used for grant of funds for next phase of project, which was already under active development.
Contributing to an ongoing project, I next worked on integrating feed from multiple FOSSCAM IP Cameras into the existing desktop application running ROS. I also developed an interface to utilize ROS based publisher-subscriber model of data flow which can be used later to develop OpenCV image analysis tools by simply subscribing to the relevant topic (like published camera feed).
ROS, OpenCV, C++, Qt, GNUPlot

C++OpenCVROSComputer Vision