Pranab Roy

Software Engineer

Bengaluru, Karnataka, India15 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI-powered system design and deployment.
Proficient in cloud-native architecture and DevSecOps.
Experience with large language models and retrieval systems.

Stackforce AI infers this person is a specialist in AI and cloud-native architecture for enterprise applications.

Contact

pranab4u@ymail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Software ArchitectureLarge Language Models (llm)Ai InfrastructureMicroservicesSoftware Development

Other Skills

genaiOpenSearch/SolrRetrieval-Augmented Generation (RAG)OllamavLLMJavaSpring BootREST APIsApache CamelApache CXFRed Hat OpenShiftJ2EESpringJPAHibernate

About

I design and ship AI-powered systems grounded in cloud-native architecture. In recent years, my work has expanded into large language models, retrieval systems, and self-hosted AI infrastructure - focusing on production-ready GenAI applications rather than prototypes. Core areas of experience include: • Multimodal AI system design • Retrieval-Augmented Generation (RAG) pipelines • Self-hosted LLM deployments (Ollama, vLLM) • GPU-backed inference and model serving • OCR and multimodal/Visual LLM workflows • Evaluation of medical and domain specific LLMs From an infrastructure standpoint, I work extensively with AWS, Kubernetes, Helm, ArgoCD, DevSecOps pipelines, OpenSearch/Solr, and scalable microservices. I am particularly interested in building AI systems that are secure, cost aware, and production grade - and personally explore their applications in HealthTech, wearables, and preventive health.

Experience

15 yrs 1 mo

Total Experience

3 yrs

Average Tenure

4 yrs 10 mos

Current Experience

Mckinsey & company

Software Architect

Jul 2021 – Present · 4 yrs 10 mos · Bengaluru, Karnataka, India

Designing and deploying cloud-native platforms on AWS and Kubernetes applications
Implementing DevSecOps pipelines using ArgoCD, Helm, GitOps workflows
Building AI-powered retrieval and search systems using OpenSearch/Solr
Designing Retrieval Augmented Generation (RAG) workflows integrating document stores and vector search
Evaluating and deploying self-hosted LLMs (Ollama, vLLM) for secure inference
Integrating OCR and Visual LLM models for structured data extraction and multimodal use cases
Contributing to architecture decisions for scalable AI-enabled applications in regulated environments

genaiArtificial Intelligence (AI)Large Language Models (LLM)Software Architecture

Smartshift technologies

Technical Lead

Apr 2020 – Jul 2021 · 1 yr 3 mos · Bengaluru, Karnataka

Led development of a microservices based platform for Lufthansa’s Miles & More loyalty ecosystem, supporting scalable and modular service architecture.
Designed and implemented backend services using Java and Spring Boot, exposing secure REST APIs integrated via Apache Camel and Apache CXF.
Built event-driven and integration workflows using Apache Camel for reliable inter-service communication.
Deployed and managed containerized services on Red Hat OpenShift, implementing CI/CD pipelines using ArgoCD.
Collaborated across frontend (Angular) and backend teams to deliver end-to-end features in a high-availability production environment.

JavaSpring BootREST APIsApache CamelApache CXFRed Hat OpenShift+2

Deutsche bank

2 roles

Associate

Promoted

Aug 2016 – Mar 2020 · 3 yrs 7 mos · Bangalore

Software development in Java, J2EE, Spring, JPA, Hibernate, REST API, Apache Camel, PL/SQL.
Skills : Java, Spring Boot/MVC, REST Web Services, OAuth, JPA, Hibernate, Apache Camel, Red Hat OpenShift, WebLogic, Tomcat, JavaScript, Oracle, GIT, Bitbucket, GitHub, SVN, JIRA, TeamCity, uDeploy, Jenkins, Agile.

JavaJ2EESpringJPAHibernateREST API+2