Anuj Choudhary

Engineering Manager

Gurugram, Haryana, India6 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led a team of 20 engineers at Spyne.ai.
Architected systems processing 18K+ images/hour.
Cut cloud infrastructure costs by 30%.

Stackforce AI infers this person is a SaaS Engineering Manager with expertise in AI and scalable systems.

Contact

anuj-choudhary@outlook.com LinkedIn

Skills

Core Skills

Scalable Systems DesignLeadershipCloud ComputingMicroservicesFull-stack DevelopmentSoftware Development

Other Skills

AI-driven insightsAPIAWSAuto ScalingBootstrapC (Programming Language)CI/CD PipelineCloud Computing (AWS, GCP)DatabasesDevOps & AutomationFirebaseFlaskGitHTMLHTML5

About

I’m Anuj, an Engineering Manager and AI Architect passionate about building scalable, AI-powered platforms and leading high-performance teams. With over 7 years of experience driving mission-critical products across image processing, automotive retail, and platform engineering, I specialize in marrying deep tech with practical outcomes. Currently leading tech at Spyne.ai, I’ve architected and scaled systems that process over 18K+ images/hour, cut cloud infrastructure costs by 30%, and enabled international expansion across 38 countries. From building microservices and serverless systems to enabling product-led growth through smart DevOps automation, I thrive at the intersection of leadership, architecture, and innovation. What I bring: 🧠 Expertise in scalable system design, DevOps, microservices, Kubernetes, and cloud (AWS, GCP) ⚙️ Event-driven architectures, SLA-based autoscaling, data pipelines, and observability stacks 🤝 Proven ability to grow and mentor engineering teams 📈 Passion for performance, cost-efficiency, and elegant automation I’m exploring opportunities where I can lead impactful engineering teams, drive platform evolution, and co-build AI-first futures. Let’s connect.

Experience

Spyne

4 roles

Engineering Manager

Promoted

Apr 2023 – Present · 2 yrs 11 mos

Directing and mentoring a team of 20 engineers, fostering a collaborative environment for ideation, development, and problem-solving.
Collaborating with the sales or business development team to identify technical opportunities that aligned with market needs, resulting in new revenue streams.
Incorporating AI-driven insights into marketing strategies, resulting in improved targeting and increased market penetration.
Overseeing the implementation of scalable architectures and systems to ensure product performance even during periods of high user traffic or demand spikes.
Introducing performance monitoring tools or methodologies to proactively identify and resolve system bottlenecks.

Scalable Systems DesignAI-driven insightsPerformance MonitoringTeam MentoringLeadership

Technical Lead

Nov 2021 – Mar 2023 · 1 yr 4 mos

As a Tech Lead, I focused more on driving technical excellence and fostering innovation within the team.
Emphasize my ability to implement best practices, stay updated with emerging technologies, and create a collaborative environment that encourages creativity and growth.
I led a team of 11 engineers who were highly skilled in their respective fields.
Implemented entire Infrastructure on AWS.
Introduced multiple Monitoring and alerting systems in the system like NewRelic, CloudWatch, Elastic APM, Sentry etc.
Introduced SQS and Kafka which helped us to process images with 70% more speed.
Implemented Public API gateway system which is currently used by 50+ active clients.
Implemented CI/CD pipeline for smooth and Zero downtime deployment.
Implemented Auto Scaling groups, reduced cloud cost by almost 50%.
Due to the highly scalable and reliable Spyne AI raised Series A funding from ACCEL.

AWSMonitoring SystemsCI/CD PipelineAuto ScalingPublic API GatewayCloud Computing+1

Senior Software Engineer | Full Stack

Promoted

Jan 2021 – Oct 2022 · 1 yr 9 mos

As a Sr. Software Engineer, I focused more on scaling the System's architecture, reducing cost, and delivering more scalable and reliable solutions which can be used by millions of users.
Revamped the company's infrastructure.
Introduced Next Js, Node Js, MongoDB. Migrated cloud infra from AWS to GCP and Azure.
Created API gateway and Payment gateway system.
Scaled Image processing per minute by 50%
Implemented Microservices-based architecture.

Next.jsNode.jsMongoDBMicroservicesFull-Stack DevelopmentCloud Computing