Available for Applied AI & Cloud Engineering opportunities

Hi, I'm Ravinder Singh

Tech Lead · Applied AI Engineer · Backend & Cloud Engineering

I bring 15+ years of software engineering experience to building production-ready AI applications, scalable backend systems, and cloud-native software using Python, TypeScript, Node.js, AWS, LLMs, RAG, and AI agents.

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15+ Years in Software Engineering
AI Applied AI & GenAI
AWS Cloud & Distributed Systems
Python + TS AI & Backend Engineering
Engineering Expertise

Software engineering foundations for production AI.

15+ years of experience across backend engineering, system design, cloud architecture, APIs, scalability, performance, and technical leadership — now applied to modern AI systems.

Applied AI Engineering

Building AI-powered applications that combine LLMs with retrieval, tools, business logic, APIs, and production infrastructure.

Python LLM Applications RAG AI Agents Embeddings Vector Search Semantic Search Tool Calling

Backend Engineering

Designing reliable APIs, backend services, distributed systems, and production applications using modern backend technologies.

Python FastAPI Node.js TypeScript REST GraphQL

Cloud & Infrastructure

Building scalable, secure, observable, and cloud-native applications with modern deployment and infrastructure practices.

AWS Docker CI/CD Lambda API Gateway ECS CloudWatch

System Design & Architecture

Designing maintainable systems with a focus on scalability, reliability, performance, API design, distributed systems, and technical leadership.

System Design Distributed Systems API Design Scalability Performance PostgreSQL
Applied AI

Turning AI capabilities into real software.

My focus is Applied AI: combining strong software engineering, backend architecture, cloud infrastructure, and modern Generative AI technologies.

I am particularly interested in building reliable AI applications that can move from prototype to production.

LLM Applications RAG AI Agents Agentic AI Embeddings Vector Search Semantic Search Tool Calling Structured Outputs AI Evaluation LangGraph LangChain
  • LLM Applications
    Building applications around modern language models, structured outputs, prompts, tools, and AI workflows.
  • RAG & Semantic Search
    Retrieval, embeddings, vector search, grounding, and knowledge-aware AI applications.
  • AI Agents
    Tool use, orchestration, state, multi-step workflows, and business process automation.
  • Production AI
    APIs, deployment, evaluation, observability, reliability, security, and scalable AI architecture.
Engineering Approach

From AI idea to production system.

I enjoy working across the entire engineering lifecycle: architecture, APIs, AI workflows, data, infrastructure, deployment, observability, and production reliability. 

User / Application
        │
        ▼
Web / Mobile / API Client
        │
        ▼
API / Backend
        │
        ├──────────────► Authentication & Authorization
        │
        ├──────────────► Business Logic
        │
        ├──────────────► Data Layer
        │
        └──────────────► AI Application
                              │
                    ┌─────────┼─────────┐
                    ▼         ▼         ▼
                  RAG      Agents   Tools
                    │         │         │
                    └─────────┼─────────┘
                              ▼
                       LLM Layer
                              │
                 ┌────────────┼────────────┐
                 ▼            ▼            ▼
             Embeddings  Vector Search  Evaluation
                 │            │            │
                 └────────────┼────────────┘
                              ▼
                    Data + External APIs
                              │
                              ▼
                    AWS / Docker / CI/CD
                              │
                              ▼
                    Observability & Reliability
Professional Focus

Roles I'm targeting

Bringing 15+ years of software engineering, backend architecture, and system-design experience into Applied AI and cloud-native engineering.

Applied AI Engineer AI Engineer / GenAI Engineer AI Software Engineer Tech Lead — AI / Backend / Cloud Forward Deployed Engineer (FDE)
Projects

Building production-oriented AI systems.

Selected projects will showcase practical applications of Applied AI, RAG, AI agents, backend engineering, and AWS cloud architecture.

Projects are currently being developed and will be published here as they mature. The focus is on solving realistic business problems rather than building isolated AI demos.

Applied AI RAG AI Agents Python FastAPI TypeScript AWS
About

Software engineering first. AI as the next layer.

I'm a Tech Lead and Senior Software Engineer with 15+ years of experience designing, developing, and scaling enterprise software.

My background spans backend engineering, API design, system architecture, cloud development, distributed systems, performance optimization, and technical leadership.

My current direction is Applied AI, where I'm combining this engineering foundation with Python, FastAPI, LLM applications, RAG, semantic search, AI agents, and cloud-native AI architectures.

I believe production AI requires more than connecting an application to an LLM. It requires strong architecture, reliable APIs, good data, evaluation, observability, security, scalability, and thoughtful engineering.

That's the kind of AI-powered software I want to build.

Let's connect

Building something interesting?

I'm interested in conversations around Applied AI, AI engineering, backend systems, cloud architecture, technical leadership, and building production software.

Email me Connect on LinkedIn View GitHub