Dipak Dhola
@dipakdhola
AWS Solution Architect who builds scalable cloud-native platforms and AI-powered microservices.
What I'm looking for
I’m an AWS Solution Architect and tech leader with 15 years of experience building scalable cloud-native platforms, AI-powered applications, and microservices architectures. I specialize in Laravel, Go, Node.js, and Python, with deep expertise in AWS, Kubernetes, distributed systems, and CI/CD.
In my recent role as Tech Head at DolaTech, I architected an AI-powered stock prediction platform and built IoT smart home automation using ESP32 and MQTT with AWS IoT Core, while designing microservices-based scalable cloud architecture on AWS. I’ve also led teams at Phoenix Binary and Qualis Infotech, delivering enterprise SaaS, improving performance and response times, and building event-driven and high-throughput Go microservices systems deployed on AWS and multi-cloud environments.
Experience
Work history, roles, and key accomplishments
Tech Head
DolaTech
Jan 2024 - Present (2 years 7 months)
Architecting an AI-powered stock prediction platform and building IoT smart home automation using ESP32 and MQTT with AWS IoT Core. Designing AWS microservices architecture and implementing CI/CD pipelines, alongside RPA automation to reduce manual operations.
Tech Lead
Phoenix Binary
Jan 2021 - Jan 2023 (2 years)
Designed a Laravel + Node microservices platform integrating legacy systems and built an internal ticketing system to improve response time. Developed high-concurrency REST APIs and deployed applications on GCP using Cloud SQL and App Engine.
Tech Lead
Qualis Infotech
Jan 2016 - Jan 2021 (5 years)
Architected a high-throughput Go microservices platform and migrated a Laravel monolith to microservices to improve performance. Implemented Kafka-based event-driven architecture and designed AWS infrastructure using Lambda, API Gateway, and DynamoDB.
Senior Software Engineer
Renus Technologies
Jan 2014 - Jan 2016 (2 years)
Built Go APIs handling millions of requests per month and developed concurrent IoT data processing services. Implemented Kubernetes using Terraform and Ansible, and deployed a multi-cloud architecture across AWS, GCP, and Azure.
Education
Degrees, certifications, and relevant coursework
L.D. College Of Engineering
Data Science (AI/ML), Data Science (AI/ML)
Completed Data Science (AI/ML) studies at L.D. College of Engineering in 2014.
DRS & SS Gandhi College of Engineering
Bachelor of Engineering, Electronics & Communication
Earned a Bachelor of Engineering in Electronics & Communication from DRS & SS Gandhi College of Engineering in 2012.
Orion EduTech
Diploma, Information Technology
Completed a Diploma in Information Technology at Orion EduTech in 2010.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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