About Plavaga
Built From the Inside. That's How We Know What Works.
We've shipped AI across hospitality, health tech, real estate, and fintech. The work holds up because we build it ourselves — architecture to production.
Production Software
Full-stack platforms for business networking, real estate, e-commerce, ed-tech, enterprise software. Clients that stayed 5–6 years.
Deep into AWS
Cloud Architecture, DevOps, Legacy Modernization, Security. The infrastructure foundation for everything that followed.
IoT Platform & Predictive Analytics
Built an IoT PaaS with predictive maintenance analytics and event-driven data ingestion pipelines. ML in production before the LLM wave.
Long-term Technical Partnership
Multi-year engagements owning infrastructure, security architecture, and engineering roadmaps for product companies.
Production AI
Architected and then led engineering. Shipped conversational commerce (hospitality), medical AI (health tech), content moderation (consumer wellness), document intelligence (real estate). Real users, real production incidents.
See the AI systems →Diagnostic Practice
Same pattern across every industry: the model ships, the operational layer doesn’t follow. Built a practice around diagnosing that gap.
See diagnostic services →AI-native isn’t a marketing claim. It’s how we build.
Including this website.
Shipped AI across hospitality (conversational commerce over WhatsApp), health tech (FHIR-based medical AI), and consumer wellness (AI content moderation). Some made it to production users. Some didn’t survive the startup. All taught him where AI breaks — and why. Advises QuietGrowth (fintech robo-advisory) on AI architecture in a regulated context. 20+ years across Infosys, EMC, and HP before focusing on AI implementation. When RAG failures or monetization gaps surface, Rishi has usually seen the pattern before.
Over a decade on AWS — infrastructure, security architecture, DevOps. Certified Solutions Architect. Outsourced CTO at Aarca Research since 2019, now spanning infrastructure, security, and AI tool integrations into their product roadmap. He brings both the infrastructure depth that keeps AI systems running in production and hands-on experience integrating AI into a real health tech product. When margin bleed or security gaps get diagnosed, Azmi is the reason the fix actually deploys.
When projects need more hands, we scale with vetted domain specialists — AI/ML engineers, security architects, frontend developers. The diagnostic scopes the work; scaling happens at the build phase.
“Plavaga has been our technology backbone since inception. From cloud architecture to AI-powered diagnostics, they brought the technical depth that a health-tech company needs but can rarely find in one team.”
Gayathri Choda
Founder, Aarca Research
“Plavaga has taken the initiative of meticulously understanding what we wanted and delivered beyond par.”
Prakash Sethuraman
Managing Partner, Enterprise Blueprints
“Plavaga understood the business requirements and made excellent suggestions for improving the customer experience.”
Christina Ravaglia
Senior Director of Product Management, Satmetrix
“We have been working with Plavaga for over 5 years. They displayed tremendous maturity in understanding the problem we were attempting to solve.”
Ravi Shankar
Founder Director, eMyPA
“Your experience and guidance has been the perfect match for our enthusiasm. Working with you all has been a pleasure.”
Nia
Founder, Taglr
Diagnose, don’t pitch.
Every call starts with your problem — what’s hurting, what’s worth looking at, and a straight answer. Half the calls end with ‘you don’t need us for this.’
See our services →Senior engineers. No layers.
The people who diagnose are the people who build. No handoffs, no ‘let me check with the team.’ Architecture decisions happen in the room, not after three rounds of telephone.
AI-native, not AI-adjacent.
Claude Code, LLM agents — in the daily workflow, not on the website for show. AI in production is understood here because it’s built with every day.
Start bounded, not open-ended.
Every engagement begins with a scoped diagnostic. Fixed timeline, fixed cost, written deliverable. You see the findings before you decide what (if anything) to build next.
Experience spanning AI, cloud architecture, IoT, and full-stack product development — from sensor data pipelines to LLM-powered systems.
AI & Intelligence
AI & ML
AI Billing & Metering
AI Dev Tools
Cloud & Infrastructure
AWS Compute
AWS Storage & Data
AWS Security
AWS Networking
Infrastructure as Code
Containers & Orchestration
CI/CD
Development
Languages
Frontend
Observability
Edge
Hardware/IoT
Now You Know Who Does the Work.
Tell us where you are with AI. Honest feedback on what makes sense — and what doesn't. 30 minutes, no pitch.