Nabeel Mehar — Journey Through Innovation

The Journey

Where Innovation Meets Impact

From building financial platforms to architecting AWS IoT systems serving millions, here's my professional journey.

Nov 2022 — Dec 2025 • Berlin

Amazon Web Services

Software Development Engineer

                                Led IoT monitoring system processing 500K+ events/day 
                                with <100ms latency, improving safety by 35%
                            

                                Architected microservices serving 10M+ requests/day with 
                                99.95% availability
                            

                                Built Computer Vision solution achieving 92% accuracy, 
                                preventing 150+ incidents
                            

Sep 2021 — Nov 2022 • Gurgaon

Bluestacks

Software Development Engineer

                                Developed APIs supporting 5M+ daily users with 
                                <200ms latency
                            

Migrated to microservices, reducing downtime by 70%

Sep 2020 — Dec 2020 • Jodhpur

Fintech IT Solutions

Software Engineer

                                Built financial platform processing $50M+ transactions with 
                                zero security incidents
                            

Technical Arsenal

Skills That Scale

Full-stack expertise with a focus on distributed systems, cloud architecture, and high-performance applications.

💻

Backend

Java Spring Boot Microservices REST APIs Hibernate

☁️

AWS Cloud

EC2 Lambda IoT Core DynamoDB ECS CloudWatch

🎨

Frontend

React Redux TypeScript HTML/CSS

🗄️

Databases

PostgreSQL MongoDB Redis MySQL

🤖

ML & IoT

SageMaker OpenCV IoT Core Python

🔧

DevOps

Docker Kubernetes Jenkins Terraform

Featured Work

Projects That Matter

Real systems solving real problems at scale

IoT & Real-Time

AWS IoT Monitoring Platform

Enterprise IoT system processing half a million sensor events daily with sub-100ms latency, powering warehouse safety operations across global facilities.

500K+

Events/Day

<100ms

Latency

35%

Safety ↑

IoT Core Systems Manager Lambda SNS/SQS

ML & Vision

AI-Powered Safety Detection

Computer vision system using AWS SageMaker achieving 92% accuracy in real-time workplace safety monitoring, preventing 150+ potential incidents.

92%

Accuracy

150+

Prevented

200+

Users

SageMaker OpenCV Python Lambda

Cloud Architecture

Scalable Microservices Platform

Enterprise-grade microservices architecture on AWS handling 10M+ daily requests with 99.95% uptime and multi-region deployment.

10M+

Req/Day

99.95%

Uptime

60%

Faster

Spring Boot ECS DynamoDB React

Ready to Build Something Amazing?

I'm always interested in challenging projects, innovative teams, and opportunities to create systems that scale and impact millions.

Let's Talk

Get In Touch

Let's Connect

Open to discussing opportunities, collaborations, and interesting technical challenges

nabeel.mehar.khan@gmail.com

Phone

+91 8209288481

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GitHub

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