Atharv Tare

Atharv Tare

SDE I @ Phot.AI

Delhi, India

Backend development, APIs, and system architecture

Skills

Languages

Node.js
Golang
JavaScript
TypeScript

Backend

Express.js
Gin
Echo
Fiber

Database

PostgreSQL
MongoDB
Redis

Messaging

Kafka

Monitoring

Prometheus
Signoz

DevOps

Kubernetes
ArgoCD
Docker

Cloud

AWS

Software Development Engineer I

Phot.AI | Appyhigh
Full-time
Delhi, IndiaJan 2022 - Present
Node.js
Golang
Express.js
MongoDB
Kafka
Kubernetes
Prometheus
Signoz
ArgoCD
AWS

Key Achievements

  • Designed and maintained highly scalable backend services using Node.js and Go, supporting over 5M users and 400K monthly active users (MAU), ensuring robust performance under high traffic loads.
  • Refactored core architecture and optimized Express.js-based APIs, achieving a 3x reduction in average load times and improving response latency by 65% through efficient caching and query optimization in MongoDB.
  • Led the migration of critical data workflows to Kafka-based event-driven pipelines, enhancing fault tolerance by 40%, scalability for peak loads, and throughput by 50%, enabling seamless real-time data processing.
  • Instrumented comprehensive real-time monitoring and alerting systems using Prometheus and Signoz, reducing system downtime by 30% and cutting incident response time by 45% through proactive issue detection.
  • Managed multi-environment deployments across production, analytics, and development clusters using Kubernetes, orchestrating seamless database migrations for MongoDB with zero downtime.
  • Developed and implemented automated deployment and rollback workflows with ArgoCD and Kubernetes, increasing release velocity by 60% and improving deployment reliability with automated health checks and rollback mechanisms.
  • Enhanced system observability by integrating advanced error tracking and logging with Signoz, reducing API failure rates by 25% through targeted improvements in error handling and retry logic.
  • Collaborated with mobile and product teams to integrate backend services with high-scale Android and iOS applications, ensuring seamless API performance and compatibility for over 1M concurrent users.
  • Implemented Google Analytics and custom event tracking pipelines, driving a 20% increase in click-through rates (CTR) and a 15% improvement in user monetization through data-driven optimizations.
  • Designed and deployed containerized microservices on AWS (ECS/EKS), optimizing resource utilization and reducing infrastructure costs by 18% while maintaining 99.9% uptime.

Key Projects (2)

Scalable User Platform

Built and maintained backend services supporting millions of users with Node.js, Go, and MongoDB.

Enabled robust performance for 5M+ users and 400K MAU with high reliability.
Node.js
Golang
MongoDB
Express.js
Kafka
Microservices Deployment Automation

Automated deployment and rollback workflows for containerized microservices on AWS using Kubernetes and ArgoCD.

Increased release velocity and deployment reliability with zero downtime migrations.
Kubernetes
ArgoCD
AWS
Docker

SDE-1 (Intern)

IBDTD Technologies
Internship
RemoteOct 2021 - Mar 2022
Android
Kotlin
RxJava
SQLite

Key Achievements

  • Refactored legacy Android codebases, introducing MVVM architecture and Dependency Injection to improve maintainability and scalability.
  • Developed and integrated unit and instrumentation tests, increasing code coverage and reliability for production releases.
  • Enhanced debugging workflows and automated build processes, reducing release cycle time and improving team productivity.
  • Collaborated with senior engineers to migrate critical features to modern Android APIs, resulting in improved app performance and stability.
  • Contributed to feature development and bug fixes for live applications, supporting successful production deployments.