Apurv Singh profile photo 1 on Tal

Apurv Singh

Software Developer at Deutsche Bank | Lakshmi Narain College of Technoloy

Bengaluru

3+ years of work experience

Deutsche Bank
Jan 20269 mosPresent

Bengaluru, Karnataka, India

Developed AI-driven backend services and UI workflows for automated trade confirmation reconciliation using intelligent document mapping and comparison logic, improving operational efficiency and reducing manual review effort by 70. Designed and developed secure, high-throughput bond lifecycle management modules using Java, Spring Boot, and MySQL, enabling creation, validation, and agreement workflows between counterparties while ensuring data integrity, auditability, and regulatory compliance. Implemented end-to-end bond agreement processing workflows the web application using Spring Boot (RESTful APIs), Angular, and MySQL, efficiently managing 1M+ structured financial records with optimized SQL queries, indexing, and transactional consistency. Implemented real-time bond status tracking and counterparty synchronization features using Angular, RxJS, and REST APIs, enabling instantaneous updates and supporting 300+ active investment banking users in time-sensitive trading environments. Implemented centralized logging, monitoring, and exception handling using SLF4J, Logback, and Spring Boot Actuator, ensuring high system observability, faster issue diagnosis, and production stability. Developed scalable backend modules and microservices for post-trade reconciliation, claims processing, and settlement workflows within distributed banking systems. Designed and optimized high-throughput RESTful APIs with pagination, filtering, and validation to efficiently process large-scale trade volumes. Implemented Redis-based caching strategies for high-frequency APIs, improving application scalability, latency, and overall system performance. Implemented scheduled CRON jobs to automate trade mismatch detection and settlement processes, ensuring compliance with regulatory timelines. Enhanced observability, logging, and production monitoring using Splunk, enabling faster root-cause analysis and reduced incident resolution time.
Deutsche Bank
Oct 20241 yr 4 mosJan 2026

Pune District, Maharashtra, India

Deutsche Bank
Jul 20231 yr 4 mosOct 2024

India

Apurv’s AI Stack

claude
claude
github copilot
github copilot

Education

Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021

Bachelor of Technology, Computer Engineering

Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021

20194 yrs2023
Shanti Niketan School

12th

Shanti Niketan School

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Headline

Software Developer at Deutsche Bank | Lakshmi Narain College of Technoloy

Location

Bengaluru

AI stack

claude

github copilot

Work experience

Associate Software Engineer at Deutsche Bank, Jan 2026 - Present · 9 mos, Bengaluru, Karnataka, India, Developed AI-driven backend services and UI workflows for automated trade confirmation reconciliation using intelligent document mapping and comparison logic, improving operational efficiency and reducing manual review effort by 70. Designed and developed secure, high-throughput bond lifecycle management modules using Java, Spring Boot, and MySQL, enabling creation, validation, and agreement workflows between counterparties while ensuring data integrity, auditability, and regulatory compliance. Implemented end-to-end bond agreement processing workflows the web application using Spring Boot (RESTful APIs), Angular, and MySQL, efficiently managing 1M+ structured financial records with optimized SQL queries, indexing, and transactional consistency. Implemented real-time bond status tracking and counterparty synchronization features using Angular, RxJS, and REST APIs, enabling instantaneous updates and supporting 300+ active investment banking users in time-sensitive trading environments. Implemented centralized logging, monitoring, and exception handling using SLF4J, Logback, and Spring Boot Actuator, ensuring high system observability, faster issue diagnosis, and production stability. Developed scalable backend modules and microservices for post-trade reconciliation, claims processing, and settlement workflows within distributed banking systems. Designed and optimized high-throughput RESTful APIs with pagination, filtering, and validation to efficiently process large-scale trade volumes. Implemented Redis-based caching strategies for high-frequency APIs, improving application scalability, latency, and overall system performance. Implemented scheduled CRON jobs to automate trade mismatch detection and settlement processes, ensuring compliance with regulatory timelines. Enhanced observability, logging, and production monitoring using Splunk, enabling faster root-cause analysis and reduced incident resolution time.

Senior Analyst at Deutsche Bank, Oct 2024 - Jan 2026 · 1 yr 4 mos, Pune District, Maharashtra, India

Graduate Analyst at Deutsche Bank, Jul 2023 - Oct 2024 · 1 yr 4 mos, India

Education

Bachelor of Technology, Computer Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021

12th, Shanti Niketan School

Apurv Singh - Associate Software Engineer in Bengaluru | Tal