Deepak AroraDA
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Deepak Arora

@deepakarora416

Technical Architect | GenAI + Distributed Systems | Scaled platforms for 24M+ users

India
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What I'm looking for

Seeking a remote-first role to lead architecture of scalable, cloud-native systems and apply GenAI/Agentic AI to real-world problems. I enjoy mentoring teams, driving system design, and building reliable, high-impact platforms in product-focused environments.

I’m a Technical Architect with 13.5+ years of experience designing and scaling distributed, cloud-native platforms across fintech, insurtech, and gaming domains. My core strengths lie in building high-throughput, low-latency systems, leading platform architecture, and integrating cutting-edge GenAI and Agentic AI into production environments.

At PasarPolis, I led the architecture of BrokerOS and InsureOS platforms serving 24M+ users and processing 3M+ daily requests. I integrated OpenAI APIs and CNN-based models (EfficientNet-B0) to detect document tampering and automate SQL-based reporting workflows. These systems reduced claim processing time from 2 days to 10 minutes and improved infrastructure efficiency, cutting costs by 60% and boosting throughput 5× using GCP SpotVMs and event-driven design.

Previously at Adda52, I scaled real-time gaming engines to support 1M+ concurrent users and built personalization systems using Redis Streams and AWS Lambda.

I enjoy working in remote-first, async-driven teams focused on engineering excellence, clean architecture, and measurable business impact. I also mentor engineers, drive tech OKRs, and lead architecture reviews across backend, DevOps, and ML-integrated systems. My stack includes Java, Python, Spring Boot, FastAPI, Kafka, GCP, AWS, Kubernetes, and Terraform.

I’m passionate about building resilient, intelligent systems that self-heal, adapt, and scale — and I'm excited to contribute to companies solving complex problems through innovation and engineering craft.

Experience

Work history, roles, and key accomplishments

PA
Current

Technical Architect

PasarPolis

Jan 2022 - Present (3 years 7 months)

Architected and scaled BrokerOS & InsureOS platforms for 24M+ users, processing 3M+ requests/day with high availability and AI-powered automation. Integrated OpenAI API and a CNN-based EfficientNet-B0 model to detect document/image tampering with >92% precision in claims fraud detection.

Education

Degrees, certifications, and relevant coursework

TB

TIT&S, Birla Group, Bhiwani

B.Tech, Computer Science & Engineering

2008 - 2012

Completed a Bachelor of Technology in Computer Science & Engineering. The curriculum covered fundamental concepts and advanced topics in computer science.

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