Deepak Raj

Senior Software Engineer

Bengaluru, Karnataka, India2 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in architecting microservices for fintech solutions.
Achieved significant cost reductions and performance improvements.
Strong background in computer vision and data analysis.

Stackforce AI infers this person is a Fintech-focused software engineer with expertise in microservices and data-driven solutions.

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Skills

Core Skills

MicroservicesSystems DesignComputer VisionFlutter

Other Skills

Analytical SkillsAnchorsAndroid DevelopmentAndroid StudioC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationCompetitive ProgrammingData AnalysisData StructuresDeep LearningEngineeringEnglishFirebase

Experience

Razorpay

2 roles

Senior Software Development Engineer

Oct 2025 – Present · 5 mos

Software Developer

Dec 2023 – Dec 2025 · 2 yrs

Passionate about designing robust microservices that power financial transactions at scale. Specialized in payment systems architecture, banking integrations, and transforming monolithic systems into maintainable services.
Key Achievements:
ValidX Microservice (Fund Account Validation)
Architected ValidX from scratch, achieving ~75% decomposition while processing 1M+ validations with zero downtime
Delivered 50% cost reduction through new integration
Designed plugin architecture enabling seamless bank additions with minimal code changes
Integrated 5 downstream services
Built comprehensive monitoring dashboards, runbooks, and self-service manual actions
Smart Collect 2.0 (Virtual Account Management)
Led two new bank integrations, onboarding 11+ merchants (275% growth)
Migrated 400K virtual accounts with zero downtime, delivering ₹200Cr additional AMB
Enhanced reliability through MIS file integration, reducing missed webhooks
Refactored codebase with bank-specific factories/processors, improving maintainability
Engineering Excellence:
Maintained ~99% test coverage across all implementations with zero production incidents
Proactively identified system anomalies before business impact
Created comprehensive technical specs and DB evaluation documents
Reduced developer dependencies by 70% through documentation and training

MicroservicesHigh-Level DesignLow-Level DesignSystems DesignTechnical DocumentationSQL+3

Aereo

Data Science Intern

Jun 2023 – Nov 2023 · 5 mos · Remote

Developed an advanced computer vision solution using Mask R-CNN to accurately detect building footprints from aerial drone images, achieving an impressive accuracy rate of over 80%.
Curated and preprocessed a specialized dataset of aerial images and annotations, facilitating precise labeling of building structures and enhancing model performance.
Engineered scalable inference functions for multiple and large images, effectively visualizing detected building instances, and leveraged geospatial data handling skills to contribute to urban analysis and planning.

Computer VisionDeep LearningData AnalysisImage Processing

Munshig

Intern

Mar 2021 – Jun 2021 · 3 mos · Remote

At munshiG, I was responsible for building the UI and logical modules for the Flutter app. I also handled Firebase databases for efficient data management. My role included translating design concepts into visually appealing screens, ensuring a seamless user experience. I designed and implemented algorithms, data structures, and business logic for various app features. Overall, I contributed to creating a high-quality Flutter app by combining UI development, Firebase database handling, and logical module creation.

FlutterFirebaseCascading Style Sheets (CSS)HTML5