About

Always driven by the desire to create something new, I find software engineering to be the canvas for my creativity. I simply love being involved in the end-to-end creation of products. Starting right from the idea to design to development and finally the actual manifestation of the end goal, it's always an engaging journey.

With a professional background spanning Morgan Stanley, AnalyticsVerse, and presently M2P, I've garnered invaluable experience in navigating the intricacies of both large-scale enterprise projects and new greenfield initiatives. My tenure has been characterized by assuming ownership of critical functionalities and seeing them through to successful fruition.

Adapting to diverse technological landscapes has been second nature, and the key skills I've learned along the way include:

Breejesh Rathod

Core Tech Stack

Java
Angular
SQL Databases
HTML & CSS
TSTypeScript
AWS Cloud
CI/CD & Git
Firebase
Python
Gen AI & LLMs
AI/ML
Kubernetes
Redis
Elasticsearch
Lakehouse & Spark

What I Do

End-to-end development for web, mobile, and cloud.

Enterprise SaaS & Web Platforms

Architecting production-grade web applications with robust Java backends, Angular frontends, and event-driven microservices that scale across enterprise tenants without rewiring the core for every new business flow.

  • Full-stack SaaS architecture with Angular & Spring Boot
  • Event-driven microservices with Apache Kafka
  • Multi-tenant RBAC and organizational permission layers
  • Real-time data sync and schema-driven UI systems
JavaAngularSpring BootKafkaPostgreSQLTypeScriptRedis
Mobile App Development

Building high-performance, cross-platform mobile applications using React Native, sharing typed backends with web counterparts to eliminate API drift and deliver a native user experience.

  • Cross-platform mobile apps with React Native & TypeScript
  • Shared API contracts & state management with web platforms
  • Native integrations: Push notifications, biometric auth, camera
  • App Store & Google Play Store publishing and deployment pipelines
React NativeTypeScriptiOSAndroidRedux ToolkitPush NotificationsFastlane
AI & LLM Integration

Integrating large language models and ML pipelines into production systems with vector databases, cost-aware routing, streaming responses, and the guardrails needed to ship AI features without hallucination risk.

  • Vector search pipelines with Milvus and Elasticsearch
  • Gen AI features with OpenAI, Gemini, and custom LLMs
  • KNN clustering, DB2, and semantic similarity engines
  • RAG architectures and prompt security boundaries
PythonGen AIMilvusElasticsearchOpenAIGeminiDB2
Cloud & Infrastructure

Setting up and operating production-grade infrastructure on AWS with container orchestration, CI/CD pipelines, and full observability stacks for zero-downtime releases across multiple environments.

  • AWS infrastructure — S3, EKS, EC2, Secrets Manager
  • Kubernetes orchestration with Helm and autoscaling
  • CI/CD pipelines with GitHub Actions and ArgoCD
  • CloudWatch monitoring, alerting, and log analytics
AWSKubernetesDockerArgoCDGitHub ActionsCloudWatchHelm

What’s Next

Get in touch!

I would be happy to receive your message if you wish to discuss new opportunities or anything interesting in general. Please feel free to reach out to me, and I will reply as soon as I see your message.