Rohan Shinde · Full-Stack & AI Developer at Fristine Infotech · Pune
Profile
At Fristine Infotech, I build software for organisations that need more than a working demo: systems designed deliberately, economical to run, dependable when dependencies fail, and measurably more efficient than what they replace.
An engineering foundation and an MBA in Information Technology mean every decision is weighed against cost, risk and outcome, whether the client is a school, a clinic, a bank, a manufacturer, a retailer, an insurer or a growing small business.
On the AI side I design agents, retrieval over a client's own documents, human-approval workflows, and the evaluation and guardrails that make LLM behaviour something you can measure and trust.
What I do
- System design & architecture
- AI agents & RAG
- Full-stack delivery
- Cost & efficiency reduction
At a glance
- Role
- Full-Stack & AI Application Developer
- Working at
- Fristine Infotech
- Based in
- Pune, Maharashtra
- Home town
- Dhule, Maharashtra
- Education
- B.Tech · MBA in Information Technology
- Certified
- Claude Certified Architect – Foundations
- Industries
- Education · Healthcare · Retail · Manufacturing · Banking · Insurance · Small business
- Reach
- rohan@rohanshinde.in
Production apps led
LLM agent types in one platform
Orchestrator uptime
Less manual onboarding
What I deliver
01
Design the system
Architecture comes before code. Tenancy, data boundaries, failure modes and the cost model are settled up front, so the product grows without being rebuilt.
13 agent types on one multi-tenant platform
02
Reduce the cost
Right-sized infrastructure, automated manual work and faster releases. The goal is a lower total cost to build, run and change.
60% faster release deploys · 70% less onboarding effort
03
Build it reliable
Fallbacks, guardrails, isolation and observability, so the product keeps its promises even when a dependency does not.
99%+ orchestrator uptime · zero cross-tenant leakage
04
Improve efficiency
Repetitive, error-prone work becomes a workflow people trust, with fewer hand-offs, fewer mistakes and clearer reporting.
45% better reporting · 65% faster ticket resolution · 55% fewer scheduling errors
How I solve it
- Identify the problem: Find where time, money and errors leak. Map the workflow, read the data and name the one metric that must move.
- Apply automation & AI: Automate the repeatable. Use AI where judgement is needed. Rules and workflows for the predictable, LLM agents and RAG for language and decisions, and a human approving anything risky.
- Resolve the major issues: Take the biggest risks first. Data isolation, access control, failure modes and cost hotspots are settled before they become expensive.
- Design the system: Architecture that fits the problem, not the trend. Services, data model, integrations and a cost model agreed on paper before any build.
- Design the process: The new way of working, end to end. Roles, approvals, hand-offs and fallbacks drawn out so people know exactly what changes.
- Design the experience: Interfaces people understand without training. Role-based screens and clear flows, so adoption needs no manual.
- Develop: Small increments, shipped often. Clean APIs, role-based access, guardrails and observability built in from the first release.
- Test: Prove it works before anyone relies on it. Functional and load tests, plus LLM evaluation sets for answer quality, task completion and regressions.
- Deploy & improve: Live, watched and getting better. Containerised CI/CD releases with tracing and logging, tuned for cost and efficiency from real usage.
Identify the problem
Find where time, money and errors leak.
Map the workflow, read the data and name the one metric that must move.
- Workflow mapping
- Data review
- Target metric
Identify the problem
Find where time, money and errors leak.
Map the workflow, read the data and name the one metric that must move.
- Workflow mapping
- Data review
- Target metric
Selected work
Industries
- 01
Education
Student, faculty and admin portals with an assistant that answers routine queries.
→ - 02
Healthcare
Appointments, patient records and clinic operations with strict role-based access.
→ - 03
Retail
Order flow, inventory visibility and customer-support automation across channels.
→ - 04
Manufacturing
Workforce and resource planning, production tracking and operational reporting.
→ - 05
Banking
Role-based, auditable, policy-gated workflows with strict tenant isolation.
→ - 06
Insurance
Document-grounded assistants, approval pipelines and intake automation.
→ - 07
Small business
Lean, right-sized systems with low running cost and no needless complexity.
→
Capabilities
AI / LLM
- Gemini 2.0 Flash / 2.5 Pro
- LangChain
- LangGraph
- RAG
- Embeddings & Vector Search
- Tool / Function Calling
- Prompt Engineering
- Structured Outputs
- Context & Memory
Agents
- A2A Orchestration
- Multi-Agent Pipelines
- Human-in-the-Loop
- Workflow Automation
Evals & Guardrails
- LLM Evaluation
- Policy Gating
- I/O Validation
- Fallback Handling
- Tracing
- Structured Logging
Frontend
- React 18/19
- Next.js
- Redux Toolkit
- Zustand
- Vite
- Responsive Design
- Drag-and-Drop UI
Backend
- Python
- Node.js
- FastAPI
- Flask
- REST APIs
- JWT Auth
- Migrations
- Microservices
Data
- PostgreSQL + pgvector
- Supabase
- SQLite
- NoSQL DataStore
- Cloud SQL
- Multi-tenant Isolation
Cloud & DevOps
- GCP Cloud Run
- Cloud SQL
- Secret Manager
- Docker
- Compose
- CI/CD
- Railway
- Vercel
Practice
- Agile / Scrum
- RBAC
- CRM Integrations
- BI Dashboards
- Git & GitHub
- Linux
FAQ
Who is Rohan Shinde?+
Rohan Shinde is a Full-Stack & AI Application Developer based in Pune, India, working at Fristine Infotech. He designs and builds production web applications, multi-tenant SaaS platforms and LLM-powered business tools, with a focus on lower cost, reliability and efficiency.
Which industries does Rohan work in?+
Education, healthcare, retail, manufacturing, banking and insurance, as well as small businesses. The work centres on workflow automation, document-grounded AI assistants, role-based dashboards and tenant-isolated SaaS.
Where is Rohan based?+
Rohan is based in Pune, Maharashtra, India. His home town is Dhule, Maharashtra.
How does Rohan approach projects in different industries?+
Every engagement follows nine stages: identify the problem, apply automation and AI, resolve the major issues, design the system, the process and the experience, then develop, test, and deploy and improve. Each stage is shown on the website as an animated walkthrough. The solution is tailored to the industry: student and admin portals for education, role-based clinic systems for healthcare, inventory and support automation for retail, workforce dashboards for manufacturing, audited and tenant-isolated workflows for banking, document-grounded assistants for insurance, and lean low-cost systems for small businesses.
What does Rohan specialise in?+
System design, LLM agents with tool/function calling, Retrieval-Augmented Generation (RAG) on pgvector, LangChain and LangGraph workflows, multi-agent orchestration, and LLM evaluation, guardrails and observability, on top of React/Next.js frontends and FastAPI, Flask and Node.js backends.
Is Rohan Shinde Claude certified?+
Yes. Rohan holds the Claude Certified Architect – Foundations certification, covering AI architecture best practices for reliable LLM systems.
What has Rohan built?+
A multi-tenant SaaS platform with 13 LLM agent types (SalesPulse AI), an AI corporate travel system on GCP Cloud Run (JourneySync), a workforce dashboard (WorkForce360) and a dental clinic management system (ClinicCare), among 6+ production applications.
What is Rohan's educational background?+
A B.Tech from SVKM's NMIMS Global University and an MBA in Information Technology from Dr. D. Y. Patil Vidyapeeth.
How can I contact Rohan?+
Email rohan@rohanshinde.in, use the contact form at /contact, or message him on LinkedIn at linkedin.com/in/rohanshinde0407. He is based in Pune, Maharashtra, India.