Sahil Dua

CTO

Zurich, Zurich, Switzerland13 yrs 1 mo experience
Highly StableAI Enabled

Key Highlights

  • Led AI innovations at Google DeepMind.
  • Expert in building scalable AI systems.
  • Pioneered generative AI solutions across teams.
Stackforce AI infers this person is a leader in AI and Machine Learning, specializing in scalable systems and generative AI.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Reinforcement Learning (rl)Machine LearningNatural Language Processing (nlp)

Other Skills

APIsAlgorithmsApache KafkaCC++CSSCoaching & MentoringCommunicationContainerizationContinuous IntegrationData InfrastructureData PipelinesData StructuresDeep LearningDesign Patterns

About

At Google DeepMind, the focus is on advancing multimodal understanding, Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL). Contributions include driving research on foundational machine learning models and building scalable systems that enable state-of-the-art AI innovations. Previously, at Google, efforts centered on leading teams to develop foundational embedding models, streamline data pipelines, and create tools for seamless deployment across Alphabet products. The mission remains to enhance the accessibility and efficiency of AI technologies while fostering collaboration and innovation in the field of generative AI.

Experience

13 yrs 1 mo
Total Experience
2 yrs
Average Tenure
1 yr 1 mo
Current Experience

Google deepmind

Staff Research Engineer & Tech Lead

May 2025Present · 1 yr 1 mo · Zurich, Switzerland

  • Research on:
  • Gemini Embeddings & Agents
  • EmbeddingGemma
  • Multimodal Understanding
  • Retrieval-Augmented Generation (RAG)
  • Reinforcement Learning (RL)
ResearchInformation RetrievalPythonLarge Language Models (LLM)Artificial Intelligence (AI)Reinforcement Learning (RL)+1

Google

Machine Learning Engineer & Tech Lead

Oct 2019May 2025 · 5 yrs 7 mos · Zurich, Switzerland

  • 2023-2025
  • Tech Lead for teams training foundational embedding models, building easy-to-use infrastructure & tools and engaging with clients for various product launches across Alphabet.
  • Extensive experience in full life-cycle of LLM development - data pipelines, synthetic data generation, custom model architectures, training & evaluation infrastructure, quality ablations, optimizing models for low latency & high throughput serving, etc.
  • #generativeAI #GenAI #llm #nlp #gemini
  • 2021-2022
  • Led a team building Machine Learning (NLP) & Data Infrastructure for large language models, enabling engineers to use state of the art research in their projects.
  • Focus Areas: Making dual encoders accessible and easy to use for search & retrieval use cases, data validations and sanity checks, release and build stability.
  • 2019-2021
  • Tech Lead for a team focused on:
  • Engagement, discovery and retention of Assistant Calendar features
  • Revolutionizing the Google Assistant experience using state-of-the-art Natural Language Processing (NLP) models
  • Horizontal instrumentation of the product to gain insights about usage
  • Key Achievements:
  • Contributed to the overall strategy for a group of teams as part of the core leads group.
  • Led the launch of various promotional features increasing feature usage by 115%.
  • Kicked off two projects that evolved into team-wide focus areas.
  • Launched Proactive Meet experience on smart displays (Nest Hub Max) and helped with Multi-account Calendar experience: https://www.blog.google/products/assistant/our-favorite-10-new-things-coming-smart-displays/
Artificial Intelligence (AI)Machine LearningPythonInformation RetrievalLarge Language Models (LLM)Research+2

Databricks

Software Engineer

Apr 2019Sep 2019 · 5 mos · Amsterdam Area, Netherlands

  • Worked on the Jobs (Workflows) service which orchestrates all the workloads scheduled by the customers of Databricks, from the one-off experiment to the massive multi-day query running on hundreds of machines.

Booking.com

2 roles

Software Developer, Machine Learning

Jul 2017Mar 2019 · 1 yr 8 mos · Amsterdam Area, Netherlands

  • Some of the highlights of my experience at Booking.com:
  • Developed Kubernetes-based platform to support training and serving machine learning models in production.
  • Worked on reliability of business critical services including a high-traffic reservation search service. Mainly worked on improving the monitoring/alerting, setting up SLOs for the service and improving data consistency.
  • Proactively identified performance bottlenecks for mobile APIs and improved wallclock for several endpoints by upto 20%.
  • Identified lack of alerting support for Slack & owned end-to-end slack integration into existing alerting systems.
  • Completely owned the internal code-search service used by 2500+ developers and automated the infrastructure for the service to make it scalable as git repositories grow in number & size.
  • Kicked off and led the project to set up CI/CD pipeline for automated tests on each commit/release for mobile APIs company-wide.
  • Worked extensively on defining and implementing SLI/SLOs for customer facing products by measuring right metrics and having good & effective monitoring/alerting.
  • Actively involved in firefighting, mentoring, onboarding, interviews and trainings.
Python

Graduate Software Developer

Jul 2016Jun 2017 · 11 mos · Amsterdam Area, Netherlands

  • Developed a resilient platform for training and deploying machine learning models using Kubernetes. Optimized the platform for serving low-latency predictions. This platform included training TensorFlow models in Docker containers, automated re-training of models, deployment of models using Kubernetes to serve real-time predictions.
  • Worked on Image Service team managing infrastructure for storing, processing, modifying and serving images of various sizes across the variety of Booking.com products.
  • Worked extensively on improving the customer experience by exploring the localization opportunities across the funnel.
Python

Duckduckgo

2 roles

Open Source Community Leader

Sep 2016Aug 2018 · 1 yr 11 mos · Remote

  • Stepped up as a Community Leader in September'16.
  • My responsibilities include:
  • Building new features along with other senior members of the community
  • Fixing bugs in the existing Instant Answers
  • Reviewing pullrequests submitted by other contributors
  • On Boarding and mentoring new contributors and volunteers

Open Source Community Member

Jun 2016Sep 2016 · 3 mos · Remote

  • DuckDuckGo is currently focusing on making it best search engine for programmers by providing instant answers and solutions to their queries.
  • Instant Answers appear on DuckDuckGo.com above ads and organic links, on millions of searches. Instant Answers are created by an open source community of developers around the world.
  • My respsonsibilities included:
  • Creating new Instant Answer modules using Perl and JavaScript
  • Fixing reported bugs in the existing Instant Answers
  • Testing and reporting new bugs in existing Instant Answers
  • Code reviewing pull requests for new Instant Answers

Zomato

Trial Week Intern

Oct 2015Oct 2015 · 0 mo · Gurgaon, India

  • I was selected as part of the Trial Week at Zomato wherein I developed a web application for "Zomato Room" - the Table Management Tool.
  • Used PHP framework SLIM for developing the MVC architecture of the tool
  • Developed interactive room setup using Fabric.js (JavaScript Canvas Library)
  • Designed algorithm for displaying the chairs around the different types and sizes of the tables

Collegespace

2 roles

Web Technical Lead

Jun 2015May 2016 · 11 mos · New Delhi Area, India

  • CollegeSpace is a socio-academic portal for the students of NSIT. The initiative was taken by students with the motive of making accessible each and every information to the NSITians about the college.
  • CollegeSpace team assures to be working hard for providing with expeditious and unparalleled assistance to the NSITians.
  • I was responsible for:
  • Helping the team members in maintaining the CollegeSpace Updates website
  • Mentoring junior team members and motivating them to learn various web technologies
  • Acting as a trouble-shooter for the junior team members and helping them in fixing their bugs and learning new technologies

Web Developer

Jan 2013May 2015 · 2 yrs 4 mos · New Delhi Area, India

  • CollegeSpace is a socio-academic portal for the students of NSIT. The initiative was taken by students with the motive of making accessible each and every information to the NSITians about the college.
  • I was responsible for:
  • Developing NSIT Chronicle website
  • Mentoring junior team members and motivating them to learn various web technologies
  • Developing a chrome extension for CollegeSpace that provides all the college related updates/news/notices or even notes/exam-papers with just one click

Hackerrank

Software Intern

Jun 2015Aug 2015 · 2 mos · Bengaluru Area, India

  • I worked at HackerRank, Bangalore as a Software Intern.
  • My role involved:
  • Making the website more secure, reliable and fast
  • Handling the client-side vulnerabilities
  • Exploring a new type of questions to be integrated with HackerRank for Work.

Preseed

Product Specialist

Aug 2014Dec 2014 · 4 mos · New Delhi Area, India

  • My responsibilities included:
  • Strategizing Technical Operations and Product Development
  • Talent Acquisition - Technology
  • Acting as a Communication Bridge between the Sales team and the Technology team
  • Helping the Technology team in making the company products scalable

Ritetag

Engineering Intern

Feb 2014Apr 2014 · 2 mos · Osaka, Japan

  • Ritetag deals hashtag analysis and social media marketing optimization.
  • I got selected as a remote intern via AngelList. I worked under guidance of CTO of the company.
  • My role majorly involved:
  • Customizing particular views on the website and making changes on the client-side objects.

Refiral

Co-Founder & Product Developer

Oct 2013Sep 2014 · 11 mos · New Delhi Area, India

  • Refiral is a B2B company, helping e-commerce businesses to launch automated and customized referral campaigns.
  • I joined Refiral when it was in Idea phase. I was a part of 3-member confounding tech team which developed the MVP for the company to acquire a few hundreds of early paying customers. Later on, we worked on scaling the architecture to thousands of businesses and ultimately raised $330k angel funding.
  • Developed server-side API in PHP (Slim Framework)
  • Managed and automated the Refiral administration dashboard
  • Developed and documented the integration extensions for various e-commerce platforms to make it easy for e-commerce businesses to use Refiral services.

Picsmashup

Co-Founder

Aug 2013Jan 2014 · 5 mos · New Delhi Area, India

  • PicsMashup: A platform for organizing online photography competitions.
  • PicsMashup Services:
  • Organize online photography competition hassle-free
  • Free publicity and marketing of your photography competition
  • A hub for photography competitions for all photography enthusiasts

Dulcet solutions pvt ltd

Tech Intern

Jun 2013Aug 2013 · 2 mos · New Delhi Area, India

  • I joined WebInstitute in summer vacation'13 as a Tech Intern.
  • Worked on JavaScript mobile game development
  • Learnt WordPress theme & plugin development
  • Used Facebook API to add some desired features to the company’s website
  • Worked on company’s online learning management system based on Claroline
  • Successfully created 2 WordPress plugins according to company’s requirement

Education

Stanford University School of Engineering

AI Professional Program — Artificial Intelligence

Netaji Subhas Institute of Technology

B.Tech — Electronics and Communications Engineering

Govt. Senior Secondary School, Tanda

Higher Secondary

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