Headline

SDE 2@ Deutsche Bank | 3+ YOE | Java & Spring Boot | PICT 2023 .

About

I am a passionate Software Engineer with a strong foundation in building scalable microservices, cloud architectures, and full-stack applications. Currently, I am an Associate Software Engineer at Deutsche Bank, where I focus on modernizing legacy systems and automating critical workflows. Highlights of my experience: 🚀 Impact: Engineered automation scripts that reduced report transfer execution time from 1.5 hours to just 10 seconds. 💻 Tech Stack: Proficient in Java, Spring Boot, Microservices, React, and Google Cloud Platform (GCP). ☁️ Cloud Native: Certified Google Associate Cloud Engineer with hands-on experience in cloud deployment and architecture. I am always eager to tackle complex engineering challenges. Feel free to connect or reach out! Core Competencies: Java, Spring Boot, REST APIs, SQL, React.js, Docker, Kubernetes, GCP, Linux Scripting.

Location

Pune City

AI stack

anthropic apis

claude code

claude

cursor

gemini

github copilot

grok

notebooklm

notion

openai

perplexity

Work experience

Associate Software Engineer at Deutsche Bank, Oct 2025 - Present · 10 mos, Pune District, Maharashtra, India, Working within the engineering team to enhance the critical Gatekeeper application and modernize platform services. Key Achievements: • Performance Optimization: Spearheaded the automation of report transfer workflows using Linux shell scripting, drastically reducing execution time from 1.5 hours to 10 seconds. • Automation: Engineered a custom Java utility to automate data injection into the database, eliminating manual intervention and reducing errors. • Full Stack Modernization: Led the migration of legacy Angular applications to React, resulting in improved maintainability and a faster user experience. • Microservices: Implemented Aspect-Oriented Programming (AOP) to centralize logging across microservices, significantly improving debugging efficiency and error traceability. • System Stability: Conducted rigorous load testing and performance benchmarking using VuGen and JMeter to ensure scalability post-database upgrades.

Senior Analyst at Deutsche Bank, Sep 2024 - Oct 2025 · 1 yr 2 mos, Pune District, Maharashtra, India

Graduate Analyst at Deutsche Bank, Jul 2023 - Mar 2025 · 1 yr 9 mos, India

Intern at Persistent Systems, Jun 2022 - Aug 2022 · 3 mos, Pune District, Maharashtra, India, Focused on Graph Databases and Machine Learning integration. • Architected and integrated a Neo4j graph database to model complex relationships for user-item interactions. • Developed a Graph Neural Network (GNN) recommender system using PyTorch Geometric, achieving a 22% increase in recommendation accuracy compared to baseline collaborative filtering models.

Education

Bachelor of Engineering - BE, Computer Engineering, Pune Institute of Computer Technology

Sri Chaitanya College of Education

Public links

github: https://github.com/amartyasurve

leetcode: https://leetcode.com/amartyasurve

codeforces: https://codeforces.com/profile/amartyasurve