---
title: "Devashish Mudigonda - Software Engineer in Hyderabad | Tal"
description: "Meet Devashish Mudigonda, Software Engineer @ HSBC | Backend · Reactive Java · Spring Boot · Microservices | IEEE Published | Azure DP-100 based in Hyderabad. AI stack includes anthropic apis, claude code, and codex. Explore public work links including github and leetcode."
image: "https://tal.club/meet/devashish-mudigonda/share-image"
---

# Devashish Mudigonda on Tal

## Headline

Software Engineer @ HSBC \| Backend · Reactive Java · Spring Boot · Microservices \| IEEE Published \| Azure DP\-100

## About

Software Engineer at HSBC, building reactive Java microservices and backend systems for enterprise credit workflows\. Previously: SDE Intern at HSBC \(Power Platform\) and Providence India \(Python automation — cut manual network ops effort by 40%\)\. 🎓 B\.E\. Computer Science, CBIT \(9\.32 CGPA\) 📄 IEEE\-published ☁️ Microsoft Certified: Azure Data Scientist Associate \(DP\-100\) 🏆 HSBC Hackathon Winner \(15K\+ participants\) Stack: Java · Spring Boot · Reactive Java · Python · REST APIs · Microservices · Docker · AWS · SQL Open to connect with engineers building at the intersection of backend, data, and automation\.

## Location

Hyderabad

## AI stack

anthropic apis

claude code

codex

elevenlabs

langchain

## Work experience

Software Engineer at HSBC, Jan 2026 \- Present · 10 mos, Hyderabad, Telangana, India, Transitioned from Trainee Software Engineer to Software Engineer on the same team, moving from feature\-level work into broader ownership across deployments, new initiatives, and cross\-project engineering\. What I'm doing: • Owning deployment activities — release coordination, environment promotions, and post\-deploy validation • Contributing to multiple parallel projects, expanding my view from a single service into the broader application ecosystem • Working across different layers of the stack — backend services, data integration, and enterprise workflows • Deepening my understanding of system architecture, inter\-service communication, and end\-to\-end data flow • Writing production\-grade Java code with stronger emphasis on testing, observability, and maintainability • Collaborating closely with senior engineers on design decisions and code reviews How I'm growing: • Moving from "assigned tasks" to "owning outcomes" • Building intuition for how enterprise systems connect, scale, and fail • Picking up new tools and patterns as projects demand them Stack: Java · Spring Boot · Reactive Java · REST APIs · Microservices · JUnit · Jenkins · Git · Microsoft Dataverse · OData

Trainee Software Engineer at HSBC, Jul 2025 \- Jan 2026 · 7 mos, Hyderabad, Telangana, India, Returned to the same team as a backend developer after my internship\. Focused on writing validation logic, implementing feature\-level code changes, and fixing bugs based on evolving user requirements\. What I did: • Wrote custom validators and business\-rule validations across backend services • Implemented logical code changes tied to user requirements • Owned a steady stream of bug fixes and maintenance work Stack: Java · Spring Boot · Reactive Java · JUnit · Jenkins · Git · Microsoft Dataverse · OData

Software Development Intern at HSBC, Jan 2025 \- Mar 2025 · 3 mos, Pune, Maharashtra, India, Short internship focused on the Microsoft Power Platform\. Completed structured training in Power Apps and Power Automate, then contributed to small POCs for an internal enterprise platform\. Converted to HSBC's full\-time engineering program after this internship\. What I did: • 2–3 weeks of hands\-on training in Power Apps and Power Automate • Built small POC automation flows and UI screens during training • Recreated and iterated on Power Apps POC screens for an internal platform Stack: Microsoft Power Apps · Power Automate · Power Fx · Microsoft Dataverse

SDE Intern at Providence India, Jun 2024 \- Aug 2024 · 3 mos, Hyderabad, Telangana, India, Summer 2024 internship on the network automation team at Providence India\. Built Python tooling and internal web apps to cut manual effort in the network operations lifecycle\. What I shipped: • Automated network\-device output generation and comparison with a Python\-based diffing tool \- cut manual pre\-check/post\-check effort by \~40% • Built a firewall\-policy matcher \+ internal Django web app adopted by the network operations team to streamline policy audits and management workflows • Validated automation across simulated multi\-device Cisco topologies in GNS3 and Cisco Packet Tracer, ensuring correctness before production rollout Skills gained: • Python automation and scripting for network ops • Full\-stack development with Django \+ SQLite • Network fundamentals: Firewall Policies, Cisco Device Configs, topology simulation • Writing software that's actually adopted by an operations team

Junior Manager, Incoming Global Talent at AIESEC in India, Feb 2023 \- Feb 2024 · 1 yr 1 mo

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Chaitanya Bharathi institute of technology

School, Maharishi Vidya Mandir Senior Secondary School

## Public links

- github: https://github\.com/devashishmudigonda
- leetcode: https://leetcode\.com/devashishmudigonda

[View the original profile](https://tal.club/meet/devashish-mudigonda)

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