Deepak Sundar V

Bengaluru,KA

Summary

Software engineer with a decade of experience designing and building enterprise-scale distributed platforms across observability, real-time data processing, ontology engineering, and applied AI.

Demonstrated success in driving end-to-end platform strategy, cloud governance, self-service ecosystems, and delivering multi-million-dollar outcomes.

Overview

2027

years of professional experience

Work History

Lead Software Engineer

Lowe's India

Promoted From Senior Software Engineer In 2022

2020 - Current

Architected and delivered an in-house self-service telemetry platform blending open-source and custom components for enterprise-scale observability.
Enabled monitoring, log aggregation, alerting, distributed tracing, and APM across applications in on-premises, cloud, store environments, and network devices.
Engineered an Ontology Engineering Platform that discovers and models semantics across heterogeneous data sources, correlating them into a virtual knowledge graph powering anomaly detection, topology visualization, and impact analysis
Ideated, architected, and built a low-code / no-code real-time stream data processing platform that can connect to various data sources and perform complex data transformations.

Senior Software Engineer

Target Corporation

Promoted From Software Engineer In 2019

2018 - 2020

Designed and developed enterprise log analytics, monitoring, and alerting solutions across on-premises and cloud platforms.
Onboarded and supported internal customers, ensuring reliability and operational excellence.

Software Engineer

Honeywell Technology Solutions

Madurai

2016 - 2018

Designed and developed integration solutions using API-led connectivity.
Participated in architectural design phases and built POCs to accelerate delivery.
Implemented fine-grained access control and API security mechanisms.

Education

B.Tech - Computer Science and Engineering

Amrita School of Engineering

Coimbatore

2016

Skills

Platform Engineering: Enterprise-grade distributed systems, multi-tenant self-service platforms, abstraction layers, scalability, and resiliency patterns
Observability: Metrics, Logging, Distributed Tracing, APM, Prometheus, ELK, Kafka, Grafana, InfluxDB, Jaeger, Skywalking, Telegraf
Ontology Engineering: Ontology modeling, virtual knowledge graphs, data federation, cross-domain correlation
Data Streaming and Processing: Kafka, Apache Flink, Pub/Sub, Dataflow, Dataproc, Apache Beam

Cloud-Native Infrastructure: Kubernetes, containerization, Helm, Kubernetes operators, virtualization, GCP cloud governance
Applied AI Systems: LLM-integrated applications, AI agents, MCP servers
CI/CD & DevOps: GitOps, ArgoCD, Jenkins, Spinnaker, Terraform, Consul, Vault, Chef, Ansible
Programming Languages: GoLang, Java, Python

Impact Highlights

Scaled enterprise-wide observability, dramatically improving reliability and developer autonomy.
Delivered multi-million-dollar cost savings through strategic cloud resource optimization and governance.
Enabled cross-domain operational intelligence via a unified ontology platform.
Accelerated developer productivity with a no-code / low-code real-time stream data processing platform

Recognitions

Lowe's Annual Champion Award – Multi-million-dollar cost optimization and platform excellence.
Lowe's Excellence Award – In-house observability platform.
ACE Global Program 3.0 – Leadership and architecture excellence program, pitched the Ontology Engineering Platform in a Shark Tank-style executive forum.
Winner – Lowe's Hackathon – Real-time log analytics platform built to extract key metrics, exceptions, and anomaly insights.
Winner – Target I&O Hackathon – Storage Intelligence Layer designed as an intelligent abstraction for automated storage provisioning and dynamic auto-scaling based on usage patterns.
Lowe's AI Hackathon Finalist – AI Developer Assistant - Built an LLM-integrated assistant for deployment analysis, error debugging, and troubleshooting to enhance developer productivity.
Honeywell Bravo Award – Critical POCs delivered on time.

Timeline