Building scalable systems that handle high-volume traffic while optimizing for performance and reliability

🔥 Software Engineer II at Circleapp Online Services with 3+ years of hands-on experience ⚡ Performance Optimization: Reduced API response times by 200ms through CDN integration 🌐 Scale: Developed high-throughput real-time messaging systems ☁️ Multi-Cloud Expert: Proficient across AWS, GCP, and Azure platforms

• 🔧 Building robust CI/CD pipelines with GitOps, Kubernetes & Terraform
• 🏗️ Architecting microservices for high-scale social media platforms
• 📱 Flutter mobile development experience
• 🔄 Implementing disaster recovery and high availability solutions

April 2025 - Present

• Infrastructure Leadership: Managing production Kubernetes clusters across multiple environments with disaster recovery mechanisms
• Performance Engineering: Led optimization initiatives reducing API response times by 200ms through strategic CDN integration and gzip compression
• System Design: Architecting microservices for PrajaApp social media platform handling high-volume traffic
• Automation: Building infrastructure-as-code solutions with Terraform for reproducible deployments

• Multi-Cloud Strategy: Implementing hybrid cloud solutions across AWS, GCP, and Azure for optimal cost and performance
• Observability: Setting up comprehensive monitoring with Grafana, Prometheus, and New Relic for proactive issue detection
• Security: Implementing security best practices and compliance measures across infrastructure

May 2022 - March 2025

Real-time Messaging System 🔵

• Built a production-grade real-time messaging server from scratch using WebSockets and Socket.io
• Implemented high-throughput message handling with Redis pub/sub for horizontal scaling
• Designed message persistence layer with MongoDB for reliability
• Achieved sub-100ms message delivery latency for thousands of concurrent users

DevOps & CI/CD Excellence 🔵

• Established and maintained CI/CD pipelines for PrajaApp using GitOps methodologies
• Dockerized 15+ microservices for consistent deployment across environments
• Implemented Kubernetes deployments with auto-scaling and health checks
• Set up disaster recovery procedures with regular backup automation

Backend API Development 🔵

• Developed RESTful APIs using NestJS and Ruby on Rails serving millions of requests daily
• Created analytical APIs for tracking user activity and engagement metrics
• Built AWS Lambda functions for serverless video processing and thumbnail generation
• Implemented caching strategies with Redis to reduce database load by 40%

Mobile Development 🔵

• Contributed to Flutter mobile applications with cross-platform consistency
• Integrated mobile apps with backend services via REST APIs and WebSocket connections
• Implemented offline-first architecture for improved user experience

• ⚡ Performance: Reduced API response times by 200ms through CDN optimization
• 📈 Scale: Built systems handling 10,000+ concurrent users without performance degradation
• 🔧 Efficiency: Reduced deployment time by 60% through automated CI/CD pipelines
• 💾 Reliability: Achieved 99.9% uptime for critical messaging infrastructure

2021 - 2022

• Developed revenue-generating features contributing to platform monetization
• Fixed critical bugs and improved application stability
• Built RESTful APIs for core social media features
• Collaborated with senior engineers on architectural decisions
• Participated in code reviews and adopted best practices

Technologies Used: Ruby on Rails, PostgreSQL, Redis, Git, Linux

2020 - 2021

• Built image-to-text conversion models using PyTorch deep learning framework
• Implemented autoencoders for image feature extraction and compression
• Trained neural networks on large datasets with GPU acceleration
• Optimized model performance and inference speed
• Documented research findings and model architectures

Technologies Used: Python, PyTorch, TensorFlow, NumPy, Pandas, Jupyter Notebooks

Practical Usage:

• Ruby: Primary language for Rails backend development, API design, background jobs with Sidekiq
• Python: AWS Lambda functions, ML models, automation scripts, data processing
• TypeScript/JavaScript: NestJS microservices, Node.js applications, frontend tooling
• Dart: Flutter mobile app development for cross-platform applications
• Bash: DevOps automation, deployment scripts, system administration

Real-world Applications:

• Ruby on Rails: RESTful APIs, MVC architecture, ActiveRecord ORM, Action Cable for WebSockets
• NestJS: Microservices architecture, dependency injection, TypeORM, GraphQL APIs
• Socket.io: Real-time bidirectional communication, chat systems, live notifications
• Express.js: Lightweight APIs, middleware development, routing

Cloud Services Expertise:

AWS (Amazon Web Services):

• Lambda: Serverless video processing, thumbnail generation, event-driven functions
• EC2: Application hosting, auto-scaling groups
• S3: Object storage for media files, static assets
• RDS: Managed PostgreSQL/MySQL databases
• CloudFront: CDN for content delivery and performance optimization
• ECS/EKS: Container orchestration
• CloudWatch: Logging and monitoring

Google Cloud Platform (GCP):

• Compute Engine: VM instances for applications
• Cloud Storage: Object storage solutions
• Cloud Functions: Serverless computing
• Cloud SQL: Managed database services

Microsoft Azure:

• Virtual Machines: Application deployment
• Azure Storage: Blob storage solutions
• Azure Functions: Serverless applications

DevOps Practices:

• Docker: Multi-stage builds, Docker Compose, container optimization, image security scanning
• Kubernetes: Deployments, Services, ConfigMaps, Secrets, Ingress, StatefulSets, DaemonSets
• Terraform: Infrastructure as Code (IaC), multi-cloud deployments, state management
• CI/CD: GitOps workflows, automated testing, deployment pipelines, rollback strategies
• GitOps: ArgoCD, FluxCD for declarative infrastructure

Database Experience:

• PostgreSQL: Primary relational database, complex queries, indexing, replication
• MongoDB: Document storage for messaging, flexible schemas, aggregation pipelines
• MySQL: Legacy systems, read replicas for scaling
• Redis: Caching layer, session storage, pub/sub messaging, rate limiting

Mobile Capabilities:

• Cross-platform iOS and Android applications
• State management (Provider, BLoC)
• REST API integration
• WebSocket connections for real-time features
• Offline-first architecture
• Native device features integration

Monitoring Stack:

• Grafana: Custom dashboards, alerting, visualization of metrics
• Prometheus: Metrics collection, PromQL queries, service monitoring
• New Relic: APM, distributed tracing, performance monitoring
• ELK Stack: Centralized logging, log analysis, Kibana visualizations

ML Experience:

• Deep learning model development with PyTorch
• Image-to-text conversion models
• Autoencoders for feature extraction
• Data preprocessing and analysis with Pandas
• Model training and optimization

Best Practices:

• Version control with Git (branching strategies, code reviews)
• Linux system administration and shell scripting
• API testing and documentation
• Test-driven development (TDD)
• Code reviews and pair programming
• Agile/Scrum methodologies

timeline
    title Professional Journey

    2020-2021 : ML Intern
              : Continual Engine
              : Image-to-text models
              : PyTorch & Autoencoders

    2021-2022 : Software Developer Intern
              : Circleapp Online Services
              : Revenue-generating features
              : Bug fixes & API development

    2022-2025 : Software Engineer
              : Circleapp Online Services
              : CI/CD & Infrastructure
              : Real-time systems
              : Multi-cloud deployments

    2025-Present : Software Engineer II
                 : Circleapp Online Services
                 : Advanced system architecture
                 : Performance optimization
                 : Infrastructure automation

🎓 B.Tech in Computer Science - Rajiv Gandhi University of Knowledge Technologies (2022) 📊 GPA: 9.3/10.0 🏆 Pre-University Course (MPC) - RGUKT (2018) - GPA: 8.4/10.0