You will get an OpenAI, Gemini, or LLM integration for your SaaS
Project details
Want to add AI to a product without rebuilding it around a demo-quality integration?
I build backend AI integrations that fit cleanly into SaaS products and existing applications.
Possible work:
• OpenAI, Gemini, or Groq API integration
• LLM-backed REST endpoints
• Structured output and prompt workflows
• Streaming responses and AI chat
• Provider abstraction and fallback
• Database-backed AI features
• Authentication, logging, and usage controls
• A bounded RAG or document-chat component
I built Dervale, my own multi-tenant AI gateway and SaaS control plane using Spring Boot, React, PostgreSQL, Redis, and Docker. It includes an OpenAI-compatible API, multi-provider routing, authentication and RBAC, gateway keys, usage and budget controls, request logs, analytics, and AI chat.
You receive the agreed implementation, source code, configuration notes, error handling, relevant tests, setup notes, and concise documentation.
Each package covers a bounded endpoint or AI feature. Starter does not include multi-provider routing, a full RAG system, or an AI platform.
Send me the feature, stack, and preferred provider. I’ll confirm the right package and boundaries before we begin.
I build backend AI integrations that fit cleanly into SaaS products and existing applications.
Possible work:
• OpenAI, Gemini, or Groq API integration
• LLM-backed REST endpoints
• Structured output and prompt workflows
• Streaming responses and AI chat
• Provider abstraction and fallback
• Database-backed AI features
• Authentication, logging, and usage controls
• A bounded RAG or document-chat component
I built Dervale, my own multi-tenant AI gateway and SaaS control plane using Spring Boot, React, PostgreSQL, Redis, and Docker. It includes an OpenAI-compatible API, multi-provider routing, authentication and RBAC, gateway keys, usage and budget controls, request logs, analytics, and AI chat.
You receive the agreed implementation, source code, configuration notes, error handling, relevant tests, setup notes, and concise documentation.
Each package covers a bounded endpoint or AI feature. Starter does not include multi-provider routing, a full RAG system, or an AI platform.
Send me the feature, stack, and preferred provider. I’ll confirm the right package and boundaries before we begin.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
JavaAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$125
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$40
Additional AI Provider
(+ 2 Days)
+$100
Docker & Deployment Setup
(+ 2 Days)
+$100Frequently asked questions
About Harmanpreet
Backend & AI Engineer | Java, Spring Boot, REST APIs, SaaS
Kaithal, India - 6:28 pm local time
I work best with SaaS founders, AI startups, and software agencies that need a clearly bounded backend or integration module taken from requirements to a tested, deployment-ready implementation.
WHAT I CAN OWN
• Java and Spring Boot REST APIs
• SaaS backend modules and PostgreSQL data workflows
• Authentication, JWT, RBAC, API keys, and access controls
• OpenAI, Gemini, and Groq integrations
• LLM-backed endpoints, structured outputs, and streaming
• Third-party API integrations
• Redis caching, rate limits, and usage controls
• Docker configuration and deployment support
• Backend testing, debugging, and reliability work
• React-to-backend integration
PROOF
I built Dervale, my own multi-tenant AI gateway and SaaS control plane. It uses Spring Boot, React, PostgreSQL, Redis, and Docker, with multi-provider routing, authentication and RBAC, gateway keys, usage governance, rate and budget controls, request and audit logs, analytics, and AI integrations.
HOW I WORK
I define the API contract and implementation boundaries first, then deliver maintainable code with validation, error handling, relevant tests, configuration notes, and concise documentation. I communicate risks early and keep milestones tied to observable functionality.
Send me the backend feature, API, integration, or bug you need handled and your current stack. I’ll tell you the cleanest implementation path and whether it fits a fixed-scope project.
Steps for completing your project
After purchasing the project, send requirements so Harmanpreet can start the project.
Delivery time starts when Harmanpreet receives requirements from you.
Harmanpreet works on your project following the steps below.
Revisions may occur after the delivery date.
Scope Review
I review the feature goal, stack, provider choice, repository context, acceptance criteria, and package boundaries.
Technical Plan
I confirm the provider flow, API contracts, persistence, error handling, security assumptions, dependencies, and risks.