Product thinking
Start with the user problem, define the system boundary, and choose where AI genuinely improves the product.
Engineeringintelligenceinto production.
Nikhil Patil
GenAI Engineer + Backend Engineer
Founding Engineer at Ruh.aiI build production AI systems—and the backend platforms, data flows, APIs, and cloud delivery that make them dependable.
01/Engineering range
What I engineer
I connect model capability to dependable software.
Production engineering
Design for reliability, observability, security, evaluation, and cost—not only a successful model response.
End-to-end ownership
Move from technical direction and API contracts through implementation, delivery, and production improvement.
/delivery.loopProblem → intelligence → system → production
01
GenAI systems
LLM applications, multi-agent workflows, tool use, memory, orchestration, and evaluation-minded execution.
MCPLangGraphAutoGenLangChain
02
Backend platforms
Secure APIs, service boundaries, asynchronous workloads, workflow engines, and dependable product foundations.
PythonFastAPIJavaNode.js
03
Data & event systems
Operational data models, streaming, caching, search, state, and the feedback loops production AI needs.
PostgreSQLKafkaRedisMongoDB
04
Cloud delivery & developer experience
Cloud infrastructure, containers, CI/CD, migrations, testing, secrets, and tooling that helps teams ship safely.
GCPDockerCI/CDTesting
01Understand→
02Design→
03Build→
04Operate↺
02/Selected work
Problem
Turn rapidly evolving AI capabilities into secure, dependable product experiences.
Role
As Founding Engineer at Ruh.ai, owned backend and GenAI engineering across product delivery.
Approach
Combined API design, agent orchestration, evaluation-minded workflows, asynchronous processing, and cloud delivery.
Outcome
Enabled teams to ship and operate production AI experiences with stronger reliability and iteration speed.
Problem
Give AI systems reliable access to a broad ecosystem of tools and integrations.
Role
Built reusable MCP tooling, integration workflows, and deployment automation at Ruh.ai.
Approach
Standardised tool interfaces, packaging, secrets, observability, and repeatable cloud delivery.
Outcome
Shipped 40+ MCP tools and supported an ecosystem spanning 2,800+ integrations.
Problem
Coordinate real-time voice interactions with dependable AI execution and business workflows.
Role
Built backend services and orchestration flows for AI-assisted voice experiences.
Approach
Used event-driven processing, APIs, workflow state, and resilient integration boundaries.
Outcome
Supported production voice automation for inbound and outbound use cases.
Problem
Deliver a user-friendly online examination experience with robust backend functionality.
Role
Built and integrated backend APIs with the Angular frontend.
Approach
Implemented the product with Spring Boot, Hibernate, Angular, and MySQL.
Outcome
Delivered a working examination system during the TechnoGrowth engagement.
Problem
Help farmers sell produce directly to buyers at better rates.
Role
Developed the full-stack marketplace experience.
Approach
Used Angular 17, Spring Boot, and MySQL for the commerce workflow.
Outcome
Created a direct-market platform for improved farmer reach and profitability.
03/Experience
Learning fast.
Owning more.
Shipping systems.
A progression from full-stack and machine learning internships to end-to-end ownership of production GenAI and backend systems.
Ruh.ai
Founding Engineer · GenAI & Backend
Builds production GenAI capabilities and the backend systems that make them reliable.
- Owns backend and GenAI delivery across APIs, workflows, integrations, AI tooling, data, and cloud operations.
- Helped expand the product ecosystem to 2,800+ integrations and 40+ MCP tools.
- Introduced delivery, migration, testing, and quality practices that improved speed and production confidence.
TechnoGrowth Software Solutions
Java Full-stack Developer
Built and integrated APIs for full-stack education products.
- Developed backend functionality with Java, Spring Boot, and Hibernate.
- Integrated APIs with Angular, PrimeNG, and Material UI interfaces.
AM Global
AI Intern
Contributed to applied AI engineering work in an internship setting.
- Worked with practical AI development workflows and product-oriented experimentation.
PHN Technology
Full-stack Developer Intern
Developed web applications alongside an experienced product team.
- Gained hands-on experience across frontend, backend, collaboration, and delivery.
Cloud Counselage
Machine Learning Engineer
Worked on machine-learning engineering during an early-career engagement.
- Applied machine-learning fundamentals in a project delivery environment.
/capabilities.mapTechnical
Technical
capability map
A systems view of the technologies and tools I use to design, build, and ship production-grade software and intelligent systems.
Backend & APIs
Python, FastAPI, Flask, Java, Spring Boot, Node.js, Bun, Elysia, REST, gRPC, Microservices
GenAI & Agent Systems
Generative AI, LLM applications, MCP, AutoGen, LangGraph, LangChain, Multi-agent systems, Tool calling, Workflows, Memory-driven execution
Data & Messaging
PostgreSQL, MySQL, MongoDB, Redis, Neo4j, Kafka
Infrastructure & Delivery
Docker, GCP, GCS, GCR, Google Secret Manager, CI/CD, Database migrations, Automated testing
Frontend
TypeScript, JavaScript, React, Angular, HTML, CSS
Engineering Tools
GitHub, Postman, Requestly, Pipedream, Composio, Codex, Claude Code, Cursor
05/Education & certifications
Education
B.Tech · Information Technology
Walchand Institute of Technology, Solapur
2020 — 2024SGPA 9.55
HSC · Science
Nav Krishna Valley Jr. College of Science
2018 — 2020Sangli, Maharashtra
SSC
Pandit Nehru Vidyalaya
2017 — 2018Sangli, Maharashtra
Certifications
Introduction to Programming Using Python
Data Structures & Algorithms
AWS Academy Cloud Foundations
Microsoft Certified: Azure Fundamentals
06/About & contact