Adesh Rukmangad profile photo 1 on Tal

Adesh Rukmangad

Software Engineer @ UBS | Distributed Systems | Java | Spring Boot | Kubernetes | Azure | Event-Driven Architecture | Building Scalable Backend Infrastructure | NIT NGP

Pune District

3+ years of work experience

UBS
Feb 20267 mosPresent

Architected a distributed workflow orchestration engine coordinating 30+ microservices using Azure Event Hubs, improving fault tolerance, observability, and execution reliability across production systems. Built production monitoring and deployment capabilities using Kubernetes, Docker, Helm, and CI/CD, improving operational visibility, release reliability, and incident resolution for backend services.
UBS
Aug 20232 yrs 7 mosFeb 2026

Designed a Spring Boot ETL microservice processing 30M+ intraday records/day from Oracle to Azure Data Lake Storage, improving the scalability and reliability of critical financial workflows.
Visvesvaraya National Institute of Technology (VNIT), Nagpur
May 20223 mosJul 2022

Nagpur

Researched deep learning techniques for computational pathology, leading to a published paper on liver histopathology classification. • Developed an ensemble CNN model achieving 96.21% classification accuracy on H&E stained liver images.

Adesh’s AI Stack

antigravity
antigravity
codex
codex

Education

Visvesvaraya National Institute of Technology

Bachelor of Technology - BTech, Electronics and Communication Engineering

Visvesvaraya National Institute of Technology

20194 yrs2023

Join Adesh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Adesh Rukmangad on Tal

Headline

Software Engineer @ UBS | Distributed Systems | Java | Spring Boot | Kubernetes | Azure | Event-Driven Architecture | Building Scalable Backend Infrastructure | NIT NGP

About

I’m a Software Engineer at UBS who enjoys building backend systems that remain reliable as data volume, scale, and complexity grow. What excites me most is solving engineering problems where thoughtful system design has a lasting impact—whether that’s improving reliability, simplifying architecture, or enabling teams to move faster. Over the past few years, I’ve built and maintained production systems focused on distributed systems, backend engineering, cloud infrastructure, and event-driven architecture. My work includes developing a Spring Boot ETL service that processes 30M+ intraday records from Oracle to Azure Data Lake, automating daily backups of 2M+ records, and designing a distributed workflow orchestration engine that coordinates 30 microservices using Azure Event Hubs. I’ve also built internal monitoring tools used by 400+ engineers, designed a Backend-for-Frontend service that reduced REST endpoints by 80%, and deployed cloud-native applications on Kubernetes using Docker, Helm, and CI/CD. Outside of work, I enjoy diving deeper into computer science fundamentals through hands-on projects. I built a fault-tolerant distributed key-value store implementing the Raft consensus algorithm with sharding and optimistic concurrency control across 25 servers. I also hold a patent in computer vision, have published research in deep learning, and enjoy exploring how AI can improve developer productivity. I primarily work with Java, Spring Boot, REST APIs, Oracle, PostgreSQL, Azure, Kubernetes, Docker, and CI/CD, and I’m always looking to deepen my understanding of scalable systems and distributed computing. I’m excited by opportunities to build high-throughput backend platforms, cloud infrastructure, and distributed systems alongside teams that value engineering excellence, ownership, and continuous learning. 📩 Email: adesh.rukmangad1@gmail.com 📞 Phone: +91-9921890419

Location

Pune District

AI stack

antigravity

codex

Work experience

Authorized Officer | Software Engineer II at UBS, Feb 2026 - Present · 7 mos, Architected a distributed workflow orchestration engine coordinating 30+ microservices using Azure Event Hubs, improving fault tolerance, observability, and execution reliability across production systems. Built production monitoring and deployment capabilities using Kubernetes, Docker, Helm, and CI/CD, improving operational visibility, release reliability, and incident resolution for backend services.

Software Engineer at UBS, Aug 2023 - Feb 2026 · 2 yrs 7 mos, Designed a Spring Boot ETL microservice processing 30M+ intraday records/day from Oracle to Azure Data Lake Storage, improving the scalability and reliability of critical financial workflows.

Summer Intern at Visvesvaraya National Institute of Technology (VNIT), Nagpur, May 2022 - Jul 2022 · 3 mos, Nagpur, Researched deep learning techniques for computational pathology, leading to a published paper on liver histopathology classification. • Developed an ensemble CNN model achieving 96.21% classification accuracy on H&E stained liver images.

Education

Bachelor of Technology - BTech, Electronics and Communication Engineering, Visvesvaraya National Institute of Technology