Deergh Singh

Software Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed cloud-based microservices generating $6M revenue.
Registered 2 patents in Generative AI and NMT.
Led architectural changes for cross-platform InDesign compatibility.

Stackforce AI infers this person is a SaaS developer with expertise in microservices and cloud technologies.

Contact

Skills

Core Skills

MicroservicesSpring BootJavaGenerative AiMachine LearningC++Desktop Development

Other Skills

AzureJavascriptsplunkdjangoCeleryJenkinskubernetesPostgreSQLAttention MechanismMemory ManagementLow LatencyAmazon Web Services (AWS)Representational State Transfer (REST)TransformersMicrosoft Azure

About

I hold a Bachelor's degree in Computer Science with a Minor in Physics from BITS Pilani. I am passionate about developing robust software solutions, leveraging new cutting-edge technologies to ensure they align with customer needs. My goal is to create impactful, innovative systems that deliver real value. Beyond my professional interests, I have a deep appreciation for music, sunsets, and beaches, which help fuel my creativity and balance my technical pursuits.

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 11 mos

Current Experience

Adobe

3 roles

Computer Scientist 1

Feb 2025 – Present · 1 yr 3 mos

MicroservicesSpring Boot

Senior Member of Technical Staff

Promoted

Feb 2023 – Feb 2025 · 2 yrs

InDesign Cloud Services:
Deployed docker images of IDS on azure cloud using service bus, VNets and dynamoDB to offer features like pdf/png rendition or Data merge on an InDesign doc by providing them as micro services to our customers.
Built cloud based 6+ microservices with Java, SpringBoot, PostgreSQL and Kubernetes and led production deployment releases and provided resolutions to defects, incidents and production issues.
Developed secure REST & SOAP services with Basic/OAuth2 authentication, optimizing API performance for high availability and low latency. Achieved a 60% drop in execution time and 40% less downtime.
Developed clean, production ready code along with code reviews as one of the founding engineers of the product generating $6M as revenue via 2 GA releases over a period of 3 months.
TECHNOLOGY: Java, Microservices, Azure, Javascript, splunk, django, Celery, Jenkins, kubernetes
Style Translation:
Led the development of translation of graphic designs while retaining the style and design aesthetics of text heavy graphic documents.
Successfully registered 2 patents using attention mechanism (NMT) and Generative AI (LLMs), enhancing feature versatility and accuracy.
Matured the POC into production ready feature by integrating it into InDesign guiding an intern over all the release phases.

JavaMicroservicesAzureJavascriptsplunkdjango+3

Member Of Technical Staff

Jul 2021 – Mar 2023 · 1 yr 8 mos

InDesign Desktop App:
Redefined file format from a monolithic, semantic-free semantic format to enable faster syncing of the document and aiding collaboration by enabling cross-platform designing (desktop, mobile, and web).
Delivered new features like version history of cloud documents and other native features making sure that the application is memory efficient and had low latency at runtime.
Handled major architectural changes to ensure InDesign's compatibility on Windows and MacOS wilike migrating the whole codebase from C++14 to C++17 and ensuring system readiness with Apple's updated compilers every year.

C++Desktop Development