I’m a Softwate Engineer working at Deutsche Bank and I have done my graduation in Computer Science at SGSITS, Indore (2021–2025) passionate about backend development, DevOps, and building resilient distributed systems. I’ve worked across real-time infrastructure, microservices, and developer tooling during my internships and projects.
- 🔭 Currently exploring: Elastic Stack, Model Context Protocol (MCP), and large-scale system design
- ⚙️ Passionate about: Developer Experience (DevEx), distributed infra, scalable backend services
- 📧 Reach me at: srajansohani999@gmail.com
• Contribute to the Data Management Platform, which tracks enterprise data feeds across the bank
• Design and implement Data Quality (DQ) validation workflows for regulatory and compliance-critical datasets
• Build Angular components for monitoring data health, feed integrity, and quality metrics
• Collaborate with engineering and compliance teams to strengthen enterprise data governance
- 🛠️ Worked on Elastic Stack tooling and observability infrastructure
- Developed full-stack Elastic Upgradation Tool with Ansible + Webhooks for node-by-node orchestration
- Created Splunk to Elasticsearch Migration Tool to assist clients in capacity planning and alert translation
- Integrated real-time system notifications into Global Credit Risk System (GCRS) using WebSockets and Kafka
- Modeled notifications into DB using a GraphQL-based Nova workflow system
- Improved alert latency from ~10s (emails) to <1s (real-time UI)
- Migrated class-based components to functional React components, improving code maintainability
- Added infinite scroll and Firebase-powered real-time notifications
- Optimized API usage with debounced search and caching strategies
GitHub Action that auto-generates commit-based blog summaries using Gemini LLM and posts to Hashnode
Stack: Octokit, Gemini API, Hashnode API
End-to-end orchestrator for upgrading Elasticsearch clusters with rollback, live status, and prechecks
Stack: Node.js (TypeScript), MongoDB, React, Ansible, Docker
Helps clients evaluate and migrate from Splunk to Elastic by analyzing indexes and alerts
Stack: Spring Boot, TypeScript Microservices
Languages: Java, TypeScript, Python, C++, JavaScript
Frontend: React, Tailwind CSS, shadcn/ui, Angular
Backend: Spring Boot, Node.js, Express.js, Ansible
Infra: Kafka, Docker, AWS, Firebase, EC2
Databases: MongoDB, PostgreSQL, Elasticsearch
Tools: GitHub Actions, GraphQL, Socket.IO, Redis, CI/CD
- 🧮 INMO Qualifier (2020) – Among top 30 students in state
- 💡 Solved 700+ DSA problems across LeetCode, GFG, Codeforces, and CodeChef
- ⚔️ LeetCode Rating: 1700+
- 🎉 HacktoberFest 2022 Contributor
⭐ Thanks for stopping by! Let's build something great together 🚀