Production AI Systems
Building RAG, automation, and Generative AI workflows designed for real product use.
About
Shalini Kumari Rai
Senior Full Stack & Generative AI Engineer
Bengaluru, India · Open to Senior AI and Full Stack Engineering opportunities
Senior engineer with over five years of experience building full-stack products, cloud-native systems, and Generative AI applications. Working across product interfaces, backend architecture, AI workflows, and cloud infrastructure to turn technical capabilities into reliable business solutions.
What I Bring
Full-Stack Ownership
Working across product interfaces, APIs, backend architecture, and system integration.
Cloud-Native Delivery
Designing deployable systems across AWS and Google Cloud environments.
Engineering Leadership
Supporting teams through technical direction, reviews, and shared engineering standards.
Career arc
From full-stack foundations to AI systems
Foundation
Full-Stack Engineering
Built React frontends, Python and Node.js backends, REST APIs, and AWS and GCP deployments from the ground up. End-to-end product ownership — from authentication and access control to containerised infrastructure — forms the basis of every AI system I build today.
DataGrokr Analytics · 2021–2025
AI Systems and Cloud Engineering
Delivered four years of full-stack, AI, and cloud engineering across analytics products — RAG Q&A assistant, Vertex AI invoice processing, Cloud Speech-to-Text sentiment analysis, and automated cloud infrastructure. Led a team of five engineers.
View full roleRakuten India · 2025–2026
Generative AI and Automation
Senior engineering role focused on the SixthSense web platform, a GenAI lead-enrichment pipeline, personalised outreach automation, and an AI content workflow for LinkedIn and blog publishing. Reduced pre-sales research time by approximately 60%.
View case studyApproach
How I approach engineering
Reliable systems over impressive demos
The gap between an AI prototype and a production system is significant. I focus on the validation layers, grounding strategies, and error handling that make LLM applications trustworthy — not just ones that work well in demos.
End-to-end product thinking
Building across frontend, backend, AI workflows, and cloud architecture rather than treating the model as an isolated component. That full-stack perspective reduces handoff friction and produces better decisions at every layer of the system.
Technical leadership through clarity
Led a team of five engineers at DataGrokr across delivery, code quality, and architecture. Technical credibility and clear communication are equally important — shared standards, honest reviews, and alignment with business outcomes drive good results.
Focus areas
Where I create the most value
Generative AI Applications
Designing and building LLM-powered pipelines for lead enrichment, content generation, and business automation — with grounding, validation, and brand-voice consistency built in from the start.
RAG and Semantic Retrieval
Building Retrieval-Augmented Generation systems that give enterprise users natural language access to internal knowledge — from document ingestion and chunking through semantic retrieval and grounded generation.
Full-Stack Product Engineering
End-to-end delivery across React frontends, Python and Node.js backends, REST APIs, and authentication systems. Owning the full product surface from interface through deployment.
Cloud-Native Architecture
Cloud infrastructure design on AWS and GCP — containerised deployments, DevOps pipelines, infrastructure automation, and cost-reduction through systematic cloud-resource management.
Credentials
Education & Recognition
Education
Lovely Professional University
Bachelor of Technology
Computer Science
August 2021
Phagwara, Punjab
Certifications
- AWS Certified Solutions Architect – AssociateAmazon Web Services
- CutShort Certified JavaScript – AdvancedCutShort
- Front-End Web Development with ReactCoursera
- Full Stack DevelopmentupGrad
Recognition
- GrokStar AwardQ1 2022
Awarded for best work performance in Q1 of 2022.
- GrokStar AwardQ3 2023
Awarded for best work performance in Q3 of 2023.
Building AI products that remain useful beyond the demo.
Open to senior AI engineering, Generative AI, and full-stack product opportunities where reliable systems and clear business outcomes matter.