Ritesh Bajaj

Software Engineer

London, England, United Kingdom10 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Built ML Model Serving platform at Deliveroo
  • Reduced account hacking by over 30% at WhatsApp
  • Contributed to Swiggy's growth from $50M to $1B
Stackforce AI infers this person is a SaaS expert with a strong focus on machine learning and infrastructure.

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Skills

Core Skills

Ml OpsSoftware InfrastructureMachine LearningTrust And SafetyDatabasesAmazon Web Services (aws)

Other Skills

A/B TestingAlgorithmsCC++Cloud ComputingCompetitive ProgrammingContinuous IntegrationCore JavaData StructuresDistributed SystemsEclipseGo (Programming Language)HTMLHibernateInfrastructure

About

TL;DR - Machine learning platform at Deliveroo - Trust & Safety at WhatsApp - Early engineer at Swiggy (IPO'd), a food tech startup. The startup grew 20x from $50M to $1B. I'm a software engineer with expertise in machine learning platforms, trust & safety, and scaling high-growth startups. Currently at Deliveroo, I've built an ML Model Prediction Service and a Feature Store. Previously at Meta (WhatsApp), I significantly reduced account hacking and spam by over 30% and cut customer support tickets by ~70%. As an early engineer at Swiggy, I wore multiple hats—building and scaling critical systems, contributing across engineering and product areas—to help grow the company from a $50M to a $1B valuation.

Experience

Deliveroo

Software Engineer - Machine Learning Platform

Nov 2022Present · 3 yrs 4 mos · Greater London, England, United Kingdom · On-site

  • Machine learning Platform - https://deliveroo.engineering/2025/07/02/deliveroo-ml-platform.html
  • Part of the ML Platform team, building core infrastructure to scale machine learning across Deliveroo. Collaborated closely with ML Engineers and product teams to align infrastructure capabilities with evolving ML needs.
  • ML Model Serving Platform: Designed and implemented a standardised ML Model Serving platform, enabling all ML teams to easily expose predictions via API for real-time model inferencing.
  • 80% of the ML models in the company are now deployed on this ML prediction service.
  • Led the development of Deliveroo’s Feature Store—from gathering cross-team use cases to defining priorities and delivering multiple iterations. Enabled ingestion of batch features from offline to online stores.
  • Currently driving the development of Real-time Feature Engineering, enabling streaming feature computation to support online predictions.
  • Contributed to extending Metaflow (an open-source ML workflow framework) with Argo Workflows (K8s native workflow engine) on Kubernetes, enabling scalable and reproducible ML pipelines.
  • Introduced Kubernetes scheduler configuration to enable bin-packing, enabling efficient use of the resources.
Software InfrastructureML opsGo (Programming Language)Amazon Web Services (AWS)TerraformKubernetes+2

Career break

Travel

Dec 2021Jun 2022 · 6 mos

  • Bit of Europe, mostly South America

Meta

Software Engineer - Trust and Safety

Mar 2019Nov 2021 · 2 yrs 8 mos · London, United Kingdom · On-site

  • Trust & Safety
  • A YouTube talk on my work here - https://www.youtube.com/watch?v=hdlW2kKkm3A
  • Built Neural Networks, GBDT based models to catch compromised accounts & spammers. Decreased account hacking & spam activity by >30% in key markets. - Handled the entire lifecycle of ML model development.
  • Integrated A/B testing framework into ML models to be able to compare multiple ML models, thereby making data-driven decisions for any change to the ML models. ~50% reduction in the number of ML models.
  • Build rule-based detection and mitigation to catch abuse types like two-factor pin set by a hacker, account locked due to SMS limit exhaust, leading to ~80% reduction in the customer support ticket.
  • Implemented ‘Logout’ enforcement for compromised accounts instead of banning them, led to a decrease in the customer support tickets by ~70%, increased user retention & improved user experience.
  • Helped the team grow from <10 Engineers to 25+ Engineers.
Machine LearningTrust and SafetyA/B Testing

Nutanix

Member of Technical Staff

Jul 2017Jan 2019 · 1 yr 6 mos · Bengaluru Area, India

  • Nutanix ships private cloud for the enterprise. We had an in-house NoSQL (key-value) database for storing entities. It is a cache written in C++ using Cassandra for persistence.
  • The cache supported ACID operation, search, time-series queries, and efficient state change notifications.
  • I built some features for the database, a client library in Python to access the database and made the database run on Kubernetes.
DatabasesDistributed SystemsC++

Swiggy

Software Engineer

Oct 2015Jun 2017 · 1 yr 8 mos · Bengaluru Area, India

  • My work at Swiggy remains one of the best works I have done in my career. I enjoyed the ownership, 0->1 projects & seeing the company scale.
  • I was involved in the growth of the startup to 20x orders (~0.2 million per day), 5x Employees, ~$50M to ~$1B valuation (2017).
  • Developing micro-service architecture, optimising the existing system and scaling the system.
  • Real-time Fleet Tracking & Area Control: Built a real-time GPS ingestion and geo-zone aggregation pipeline to track delivery fleet health. Developed dashboards for SLA, backlog, and zone load. Enabled dynamic throttling (e.g. zone closures), reducing downtime by 25% and improving delivery throughput.
  • Messaging Infrastructure: Re-architected Swiggy’s central message broker, RabbitMQ, from a single node to a highly available cluster behind HAProxy—eliminating a critical point of failure.
  • Experimentation Platform: Built the internal A/B testing platform used org-wide to run experiments. Included a logging framework for writing experiment data to Amazon Redshift for analysis.
  • Scalable APIs & Latency Reduction: Developed v3 of the core food-ordering API, handling 200K+ orders/day. Designed an application-level caching strategy with Redis, halving API response times.
  • Fallback Distance Service: Built a distance service using OpenStreetMap as a fallback for the Google Maps API, reducing dependency costs and improving system resilience.
Amazon Web Services (AWS)SolrJavaRabbitMQRedisMySQL+1

Cisco

Software Engineer

Aug 2014Sep 2015 · 1 yr 1 mo · Bengaluru Area, India

  • Part of engineering enablement team in cloud and virtualization group.
  • Developed products which helped teams to manage their issues well.
  • using Groovy on grails, JQuery, Hibernate, Mysql.
  • Implemented continuous integration pipeline using Jenkins

Veermata jijabai technological institute

Event Head for Chess

Dec 2012Dec 2012 · 0 mo · Mumbai Area, India

  • Headed the National level chess competition as a part of sports festival of the college.
  • Manage marketing participation, judges and related concerns of the event with a participation of more than 100 students across Maharashtra.
  • Increased the participation in event by more than 200%.

Education

Veermata Jijabai Technological Institue

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2010Jan 2014

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