Ayush Dubey

Software Engineer

Delhi, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Automated 70% of onboarding processes in fintech.
Reduced system latency by 25% for financial workflows.
Shipped over 30 Java-based financial workflows end-to-end.

Stackforce AI infers this person is a Backend-focused Software Engineer in Fintech, specializing in scalable systems and performance optimization.

Contact

Skills

Core Skills

Java DevelopmentApi IntegrationPerformance OptimizationObject Oriented DesignObject-oriented Programming (oop)Assistant Teaching

Other Skills

Agile MethodologiesFintech SolutionsAlgorithmsWebSocketReEnterant lockMultithreadingHibernateApache KafkaJava Database Connectivity (JDBC)Spring DataSpring AIJava threadsSOAPNode based architectureLow-Level Design

About

Software Engineer at FNZ building scalable backend systems with Java and Spring Boot. Experienced in multithreading, concurrency control, REST APIs, and distributed architectures. Passionate about low-latency systems, event-driven design, and performance optimization. Built a Mini Kafka-style event streaming system and a multithreaded stock exchange matching engine. Focused on writing clean, scalable, and high-performance code.

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Fnz

2 roles

Software Developer

Jul 2025 – Present · 10 mos · Gurugram, Haryana, India

Key accomplishments include:
Automated approximately 70% of onboarding processes across over 100 REST/SOAP APIs, significantly improving efficiency and user experience within the fintech environment.
Reduced system latency by 25%, enhancing the performance of financial workflows and ensuring timely data delivery for users.
Achieved a 35% reduction in defects through rigorous testing and production hardening, contributing to overall product reliability and customer satisfaction.
Successfully shipped more than 30 Java-based financial workflows end-to-end, demonstrating expertise in building scalable and reliable fintech solutions.
Actively participated in agile rituals including design reviews and pull requests, maintaining a throughput of over 12 PRs per sprint to ensure continuous integration and delivery.
Skills: Java Development, API Integration, Agile Methodologies, Fintech Solutions, Performance Optimization

Java DevelopmentAPI IntegrationAgile MethodologiesFintech SolutionsPerformance Optimization

Intern software developer

Jan 2025 – Jul 2025 · 6 mos · Gurugram, Haryana, India

Curtis Bank (UK) - Machine Learning Financial models
Developing Auto-Generated Processes (AGP) and integrating Copilot (LLM) to allow users to generate workflows automatically.
Implementing lift-and-shift architecture to enable process generation
iHUB (APAC) - Financial workflows development
Followed full SDLC using JIRA, Confluence, and Azure DevOps across Dev, Test, and UAT environments.
Built financial workflows like Client Onboarding, Fact Find, Statement of Advice, and New Business using Appway (FNZ Studio).
Designed ad-hoc wizard workflows with proper object-oriented design, integrating SOAP/REST APIs for real-time data exchange.
Created scalable systems using Java, Java Threads, Node-based logic, and structured them with both low- and high-level system design.
Debugged and optimized backend logic to reduce workflow defects and improve system efficiency.

Object Oriented DesignObject-Oriented Programming (OOP)