Staff Software Engineer

Engineering resilient systems at scale.

Staff Software Engineer with 8+ years of experience building distributed platforms, cloud-native backend services, data systems, and AI-assisted engineering solutions.

Bengaluru, India

Email Me
8+

Years of experience

25%

Product sales growth

60%

Faster troubleshooting

1B+

Log lines analyzed

Expertise

.NET
Distributed
Systems
Azure
Microservices
Data
Platforms
AI & MCP

About

Deep engineering.
Practical leadership.

Career at a glance

I’m a Staff Software Engineer with 8+ years of experience building scalable enterprise solutions across sustainability, healthcare, and SaaS.

My work spans backend services, data platforms, distributed communication, cloud architecture, and AI-assisted engineering. I focus on making systems easier to operate, faster to troubleshoot, and ready to evolve.

Beyond delivery, I contribute through architecture discussions, code reviews, technical mentorship, and cross-functional leadership—turning ambitious ideas into dependable products.

Based inBengaluru, India
Current focusCloud, Data & AI

Core expertise

A backend foundation built for complexity.

From system design to production observability, I work across the layers that make enterprise software dependable.

Systems engineering

02

Architecture & reliability

System design, fault tolerance, observability, performance optimization, and production operations.

  • System design
  • Observability
  • Performance
  • Fault tolerance

Platforms & integration

03

Cloud platforms

Azure, AWS S3, cloud-native services, CI/CD, Application Insights, and secure platform modernization.

  • Azure
  • AWS S3
  • CI/CD
  • Application Insights
04

APIs & integration

REST, gRPC, NetMQ, secure authentication, service contracts, batching, retries, and platform interoperability.

  • REST
  • gRPC
  • NetMQ
  • Authentication

Data & intelligence

05

Data platforms

SQL Server, ETL, SSIS, SSAS, Cosmos DB, Redis, Elasticsearch, analytical workflows, and large migrations.

  • SQL Server
  • Power BI
  • Elasticsearch
  • OpenSearch
  • Redis
06

AI-assisted solutions

LLMs, Amazon Bedrock, MCP, prompt engineering, AI agents, and intelligent production observability.

  • LLMs
  • MCP
  • Amazon Bedrock
  • AI agents
Core stackC#.NETASP.NET CoreSQL ServerAzureElasticsearchPower BI

Engineering stories

From product features to reusable platform capabilities.

Selected work from IBM Envizi showing how I approach architecture, scale, operational reliability, and technical enablement.

The principle behind the work

Build solutions that solve the immediate requirement while creating a scalable foundation for future use cases.
10Mattachments migrated
300–400 GBdatabase storage reduced
20+engineers mentored
60%estimated investigation reduction
01

Enterprise integration

Key outcomeFirst commercial outbound integration

Connecting sustainability data with enterprise planning

Designed a reusable export platform and secure integration pipeline capable of processing millions of ESG records across different enterprise data models.

  1. Envizi data
  2. Export service
  3. Cloud storage
  4. Planning Analytics
Problem
High-volume transfer, schema alignment, secure APIs, global environments, and safe failure recovery.
Decisions
Separated generic dataset generation from the Planning Analytics delivery component, with controlled batches, validation, retries, logging, and restartability.
Impact
Created Envizi’s first commercially available outbound integration and a reusable export capability for future analytics use cases.
My roleSolution architecture, cross-product integration design, and reusable export-platform delivery.
02

Cloud modernization

Key outcome10M files migrated · 300–400 GB reduced

Moving ten million attachments safely to object storage

Led the solution design and core development of a reusable .NET Core attachment platform backed by AWS S3.

  1. Database files
  2. Restartable batches
  3. AWS S3
  4. Validated references
Problem
Migrate approximately 10 million database files globally without planned customer downtime.
Decisions
Stable object references, authorization-first pre-signed URLs, restartable batches, reconciliation, targeted retries, and a controlled rollback window.
Impact
Completed the migration across global environments and reduced database storage by an estimated 300–400 GB.
My rolePrimary developer and solution designer for the reusable attachment platform and global migration.
03

Platform security

Key outcomeReusable reporting authorization foundation

Creating reusable, granular reporting authorization

Replaced broad report visibility with a consistent authorization model spanning access levels, work roles, groups, and individual users.

  1. Access context
  2. .NET services
  3. Report policy
  4. Power BI
Problem
Protect sensitive reporting information while supporting complex enterprise organizational structures.
Decisions
A reusable workflow across SQL, .NET services, APIs, Power BI integration, and the user experience.
Impact
Established a foundation for future reporting-security capabilities and reduced routine support dependency.
My roleLed the authorization-model design and implementation across database, backend, reporting, and user-experience layers.
04

AI-assisted operations

Key outcome≈60% less investigation effort

Turning natural-language questions into production diagnostics

Developed an MCP and OpenSearch framework that converts an engineer’s question into diagnostic queries for Power BI refresh investigations.

  1. Engineer question
  2. MCP server
  3. OpenSearch DSL
  4. Diagnostics
Problem
Engineers manually searched large log volumes and repeatedly constructed complex operational queries.
Decisions
Natural-language intent translated into OpenSearch DSL with relevant execution, workspace, gateway, and dataset context.
Impact
Reduced investigation effort by an estimated 60% and created a foundation for automated diagnostics and proactive monitoring.
My roleDesigned and developed the MCP-based diagnostic framework and its OpenSearch query workflow.

Technical leadership

Building engineering capability alongside platform capability.

I have mentored approximately 20 engineers across architecture, SQL performance, Power BI, APIs, production troubleshooting, cloud design, deployment, and validation. I also lead recurring engineering sessions across India and Australia to discuss architecture decisions, production issues, and reusable implementation approaches.

Innovation & publications

IBM defensive publication · 2026

EMMA — Emotional Multi-Modal Assistance AI

A multimodal AI concept exploring how digital systems can interpret emotional context and adapt their responses to create more empathetic, relevant, and human-centered experiences.

EMMA combines signals from text, speech, facial expressions, user behaviour, and interaction context. The framework proposes using this combined emotional context to adapt response tone, detail, communication style, recommended actions, and escalation behaviour.

Multimodal AIEmotional contextAssistance systemsResponsible innovation
My contribution Invention ideation and disclosure development

I contributed to defining the problem, exploring how multimodal emotional signals could be combined, and developing the invention disclosure through IBM’s intellectual-property process.

Publication ID
IPCOM000278086D
Invention reference
P202504128
Record ID
99740559
Publication date
June 1, 2026
Publication type
Defensive publication
Outcome
Published as prior art
View defensive publication
EMMA framework showing text, voice, face, and behaviour inputs producing an empathetic adaptive response
Responsible AI considerations Privacy, consent, transparency, uncertainty, user control, and human escalation remain central to emotion-aware assistance.

Experience

Building across industries and scale.

A journey of solving complex problems, designing reliable systems, and delivering measurable impact across healthcare and enterprise sustainability.

8+Years of experience
3Companies
2Industries
20+Engineers mentored
Nov 2023Present

IBM

Staff Software Engineer

Bengaluru, India
Current

Enterprise sustainability platform · Backend architecture, data integration and AI-assisted engineering

Leading the design and evolution of backend services, data workflows, and platform capabilities for enterprise sustainability reporting.

  • Lead the design and delivery of backend services, platform enhancements, and architectural initiatives for the IBM Envizi Reporting Module.
  • Architected a scalable enterprise integration that contributed to a 25% increase in product sales and earned the IBM Entrepreneur Award.
  • Designed an MCP server connecting AI workflows with Elasticsearch log data, reducing troubleshooting effort by an estimated 60%.
  • Drive architecture discussions, performance optimization, code reviews, cross-team delivery, and technical mentorship.

Core stack.NET CoreSQL ServerSSIS/SSASPower BIElasticsearchMCP

Impact

IBM Entrepreneur AwardContributed to 25% sales growth~60% estimated troubleshooting reduction
Dec 2021Nov 2023

Philips

Senior Software Engineer

Bengaluru, India
2 yrs

Medical imaging R&D · Distributed systems, diagnostic tooling and communication frameworks

Built high-performance distributed medical software, reusable communication frameworks, and diagnostic automation for CT Modality R&D.

  • Contributed to the design and development of distributed medical software used in CT Modality R&D.
  • Developed a knowledge-based tool that analyzed more than 1 billion log lines across 15,000+ files, reducing manual investigation time by 95%.
  • Built a modular communication framework supporting gRPC, NetMQ, and WCF with caching, exception handling, and service-proxy control.
  • Created ELK dashboards for analyzing large-scale hospital-reported diagnostic data.

Core stack.NETgRPCNetMQWCFELK Stack

Impact

1B+ log lines analyzed95% less manual investigationgRPC · NetMQ · WCF
May 2018Dec 2021

CareStack

Software Engineer II

Trivandrum, India
3 yrs

Healthcare SaaS · Clinical platform development, backend integration and data performance

Owned engineering for the Clinical module of a cloud dental platform, improving data performance, reliability, and maintainability.

  • Led end-to-end development for the Clinical module of a cloud-based dental practice-management platform.
  • Optimized SQL queries and schema design, contributing to an approximately 40% improvement in database performance.
  • Integrated DoseSpot prescription management, strengthening the platform’s clinical capabilities and supporting client acquisition.
  • Modernized critical components from AngularJS to Angular and served as Scrum Master for a seven-member team.

Core stack.NETSQL ServerAngularAPI integrations

Impact

40% database improvementBest Performer AwardScrum Master · 7-member team
20142018

Academic Background

Bachelor of Technology (B.Tech)

Kerala, India

Computer Science and Engineering

Mahatma Gandhi University

Muthoot Institute of Technology and Science · Affiliated college

Academic record

CGPA: 8.3/10First Class with Honours

Campus leadership

  • Chairman, Clique — Computer Engineering Students Association 2016–2018 · Organized technical workshops covering deep learning, big-data processing, Arduino, CUDA, web development, and Android development.
  • Resource Person, MITS Innovation Center 2016–2018 · Conducted Android development and Arduino workshops for students.

Awards & recognition

Recognition backed by sustained impact.

Selected awards, leadership recognition, and credentials reflecting technical depth and continuous growth.

Award IBM
IBM Entrepreneur Award

Recognized for leading the Envizi–Planning Analytics integration and creating a reusable enterprise export capability that contributed to product growth.

Publication IBM · 2026
EMMA — Emotional Multi-Modal Assistance AI Published as a defensive publication and prior art for multimodal, emotionally aware assistance systems.
Award CareStack · 2018–2021 tenure
Best Performer Award

Recognized at CareStack for consistent, high-impact contributions to product stability, performance, and delivery.

Professional recognition CareStack · 2020–2021
Scrum Master Facilitated agile delivery for a 7-member development team.

LinkedIn recommendations

Trusted by the people I build with.

View LinkedIn profile
LinkedIn recommendation
As the great team player at Philips Healthcare, I have had the pleasure of working closely with Arun for almost two years. In this time, he has consistently demonstrated exceptional skills and contributions. Arun possesses an impressive range of skills, particularly in Microsoft technologies. Arun exhibits a commendable work ethic, often going above and beyond expectations. He tackle challenges with positivity and have shown a remarkable ability to handle situations or adapt to changes. He actively engage with team members, fostering a collaborative environment. Arun is a great asset to the team and was really happy having him in my team.
SL
Shantha LakshmiSenior Software Engineering Manager · Philips
LinkedIn recommendation
Arun worked in my Team at Philips, we together worked for a year. He is Technically good and dedicated and committed towards his deliverables. Consistently in each Iteration. He is a team player and assist and guide the team members while they archive their deliverables. I wish Arun All the very best and am sure whichever team and company is part of is lucky :)
SM
Surya MurthyProject Manager · Philips

Contact

Let’s build systems
that last.

For professional conversations, engineering leadership opportunities, or simply to exchange ideas about scalable software.

Email Mecsarun.careers@gmail.com

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