Currently at GE Healthcare · Open to Staff / Principal IoT roles

Hello, I'm

Akshay
P M

Building IoT platforms that run in hospitals and drive-thrus — not in demo environments. 10+ years across GE Healthcare, JLL, Deloitte, Samsung, and IISc.

Bengaluru, India · Remote-readyakshaypm90@gmail.com
Akshay P M — Staff Software Engineer
10+Years
Production IoT
1K+Sites
Deployed
What I Do

How I Add Value

Edge-to-Cloud Ownership

Device provisioning, MQTT telemetry, Kinesis pipelines, and cloud observability — one engineer, full stack, production-grade.

AWS IoT CoreMQTTKubernetesKinesis

Security Built In, Not Bolted On

mTLS device auth, X.509 certs, cosign image signing, Kyverno admission control, IAM least-privilege, KMS encryption — architected from day one.

mTLSX.509cosignKyverno

Quantified, Production Impact

7.5× provisioning speedup. 25% latency reduction. 40% faster deployments. Every claim backed by before/after numbers from live systems.

7.5× speedup25% latency↓40% faster deploys

Technical Leadership

Led 10-engineer teams twice across GE Healthcare and Deloitte. Architecture decisions, design reviews, delivery unblocking. Not just an IC — a force multiplier.

Team LeadArchitectureMentorship
Career

Experience

Staff Software Engineer — IoT Platform

GE Healthcare
Current2025 – Present

Provisioning latency 30s → 4s (7.5×). Hardened 10–15 container images to zero Critical CVEs via 4-layer supply chain security. Leading 10 engineers on medical IoT platform.

mTLSX.509cosignKyvernoK3sSpring Boot

Senior Software Engineer — IoT & Edge

JLL Technologies · Remote
2023 – 2025

Operated Smart Building platform — 500+ edge gateways, 200+ msg/sec MQTT across multi-region AWS IoT Core. 30% faster incident detection. 40% faster deployments via Terraform + SaltStack. Built RAG workflows for JLL GPT.

AWS IoT CoreEKSTerraformGrafanaPython

Chief Engineer — SmartThings Platform

Samsung R&D Institute India
2023

40% event processing throughput improvement by redesigning AWS architecture and optimizing Kinesis pipelines — serving millions of connected devices globally.

SmartThingsKinesisAWSArchitecture

Senior IoT Consultant → Senior Consultant

Deloitte USI Consulting
2019 – 2022

Owned McDonald's drive-thru IoT backend across 1,000+ US locations. AWS IoT Greengrass + Lambda at the edge — 25% latency reduction. Led 10-engineer team. Outstanding & Applause Awards.

AWS IoTGreengrassLambda1,000+ locations

IoT Developer

Smarten Spaces → Incedo Inc.
2017 – 2019

Beacon-based indoor navigation achieving 90% accuracy via BLE triangulation. Built backend for Cisco EFF Cloud no-code IoT platform for Oil & Gas clients.

BLEPythonCisco EFF Cloud

Research Assistant — IoT Wireless Protocols

Networks Lab, IISc Bangalore
2015 – 2016

Published IEEE IoT Journal paper on scalable IPv6 network architectures. Co-authored IETF RFC on 6LoWPAN deterministic networking. Built Contiki OS firmware for campus-scale sensor deployments.

6LoWPANRPLContiki OSIEEEIETF RFC
Results

Impact By Numbers

Real numbers from production systems — not POC metrics.

7.5×
Provisioning Speedup
30s → 4s endpoint latency
0%
Faster Deployments
Terraform + SaltStack IaC
0%
Latency Reduced
Real-time drive-thru pipeline
0%
Faster Detection
Grafana + OpenTelemetry
0
Critical CVEs
4-layer supply chain security
0+
Messages / sec
MQTT at multi-region scale
Portfolio

Case Studies

Production challenges I've solved — structured as Before → After → How.

Before

~30s endpoint latency with 10–12 manual inputs per deployment. Unacceptable for scaling a medical IoT fleet.

After

Under 4s. 1 manual input. Production system with mTLS + X.509 device authentication.

How

Parallelized backend calls via CompletableFuture. tmpfs RAM disk staging. S3 multipart upload pipeline. Least-privilege IAM + X.509 cert-based device auth over MQTT on K3s.

JavaSpring BootAWS IoT CoreS3K3sMQTT
Expertise

Technical Skills

Core Proficiencies

AWS IoT Core / Greengrass95%
Kubernetes / K3s / Docker90%
Java / Spring Boot88%
Python / Django / Flask85%
Terraform / SaltStack85%
mTLS / X.509 / cosign90%
MQTT / CoAP / 6LoWPAN92%
Grafana / OpenTelemetry82%

Full Arsenal

IoT & Edge

AWS IoT CoreGreengrassMQTTCoAP6LoWPANOTA UpdatesFleet MgmtZero-Touch

Cloud (AWS)

LambdaKinesisSQSDynamoDBS3EKSIAMKMSCloudWatchAPI GW

Security

mTLSX.509cosignKyvernoTwistlockPKCS#11DistrolessIAM Least-Priv

Observability

GrafanaOpenTelemetryDatadogCloudWatch
Approach & Mindset

How I Engineer

01

Physical reality first — not a whiteboard. What's at the edge? How constrained? What compliance rules apply? Architecture follows constraints, not the other way around.

02

Security is architecture, not a feature. mTLS, signed images, least-privilege IAM, KMS encryption — designed in from day one, not added at the end.

03

Works on 1 gateway but breaks at 500? That's a demo. I design for provisioning and deployment at fleet scale from the start.

04

I don't demo architectures — I ship them to production and operate them. POCs that never graduate are wasted engineering.

05

If I can't see it in Grafana within 5 minutes of deployment, it's not production-ready. Observability is a first-class deliverable.

06

I own systems end-to-end — architecture, implementation, security hardening, monitoring — not handed off between layers.

Recognition

Publications & Awards

PUBLICATION2021

IEEE IoT Journal

Peer-reviewed paper on scalable IPv6 IoT network architectures.

STANDARD2016

IETF RFC Co-author

Internet standard for 6LoWPAN deterministic networking — shaping global IoT protocols.

AWARD2022

Outstanding Award

Deloitte USI — high-impact IoT delivery on the McDonald's platform.

AWARD2021

Applause Award

Deloitte USI — technical leadership on Cisco ThingWorx IoT integration.

CERTIFICATION

AWS Solutions Architect Assoc.

Score 920 / 1000.