Pratyush Goel

CTO

Ghaziabad, Uttar Pradesh, India5 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of AI photo curation platform.
Implemented scalable CI/CD pipelines for efficient deployment.
Optimized deep learning models for rapid photo processing.

Stackforce AI infers this person is a SaaS expert with strong capabilities in AI and cloud-native architecture.

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Skills

Core Skills

Cloud-native ArchitectureMachine LearningAzureCi/cdC#Android Development

Other Skills

.NETAPIsAlgorithmsAmazon Web Services (AWS)Backend DevelopmentCC++Cascading Style Sheets (CSS)Cognitive SearchData EnrichmentData StructuresDeep LearningElectron.jsFinancial Literacy TrainingHTML5

About

As the CTO and founding engineer at FilterPixel, I spearhead the development of an AI-powered photo curation platform, processing millions of photos monthly for photographers worldwide. My role encompasses designing deep learning models, building scalable backend systems, and implementing CI/CD pipelines to streamline deployment and monitoring. A graduate of Netaji Subhas Institute of Technology in Computer Engineering, I am driven by a passion for leveraging cloud-native architecture and AWS to create innovative, efficient solutions. My focus lies in amplifying creativity and efficiency through technology, fostering transformative tools for professionals and teams.

Experience

Filterpixel

Chief Technology Officer

Sep 2021 – Present · 4 yrs 6 mos · Noida, Uttar Pradesh, India · Hybrid

As CTO and founding engineer at FilterPixel, I led the end-to-end development of an AI-powered photo curation platform — now used by thousands of photographers worldwide, processing over 5 million photos each month. The company has raised an Undisclosed amount from leading VCs and angels.
Key Highlights:
1. Architected and built the entire application stack and ML infrastructure from the ground up, including model design, backend, and cloud systems.
2. Developed and deployed deep learning models (CNNs) optimized for processing 1,000+ RAW photos in under 4 minutes.
3. Implemented scalable CI/CD pipelines using GitHub Actions, ensuring automated testing, deployment, and monitoring across services.
4. Integrated key platforms such as HubSpot, Segment, Mixpanel, and Stripe to streamline marketing, analytics, and billing operations.
5. Launched a B2B bulk-processing platform for large events, capable of handling 1.5M photos in 6 hours.
6. Hired and led a 6-person engineering team, driving delivery through Scrum and Jira while maintaining hands-on contribution across the stack.

Amazon Web Services (AWS)Cloud-Native ArchitectureMachine LearningCI/CDDeep LearningBackend Development

Microsoft

2 roles

Software Engineer

Aug 2020 – Sep 2021 · 1 yr 1 mo · Hyderabad, Telangana, India · Remote

During my time at Microsoft, I worked on the Contact Enrichment platform within the CSEO team — a system responsible for aggregating and enriching contact data from multiple internal and external sources such as sales records, CRM systems, and APIs like WhoIs. My work focused on improving reliability, scalability, and cost-efficiency across several services in the ecosystem.
Key Contributions:
Enhanced legacy system reliability by refactoring and expanding test coverage to 95%+, implementing comprehensive unit and integration tests to improve maintainability and regression safety.
Led deployment and migration of critical services to a new Azure-based cloud infrastructure, utilizing CI/CD pipelines and Azure DevOps to ensure secure, automated delivery.
Optimized fuzzy search performance and cost by replacing rule-based SQL fuzzy matching with Azure Cognitive Search, achieving an 80% reduction in compute and operational costs while improving query precision.
Contributed to the design and rollout of a Kubernetes-based, event-driven architecture leveraging Azure Event Grid, Azure Functions, and Helm, enabling scalable, resilient data enrichment workflows.

AzureCI/CDKubernetesCognitive SearchAPIs

Software Development Intern

May 2019 – Jul 2019 · 2 mos · Hyderabad Area, India · On-site

Worked within the Customer and Employee Experience (CSEO) team on projects focused on marketing lead enrichment and contact management automation.
Key Projects:
Social Data Enrichment Tool: Built a system to enrich marketing leads using social data, leveraging C#, .NET, and Gamma to improve data accuracy and outreach effectiveness.
Card2Contact Android App: Developed an Android application (Java) that converts business cards into Microsoft Dynamics CRM contacts, enabling seamless lead capture for sales teams.

C#JavaAndroid DevelopmentData Enrichment