You will get LLM/GPT integration into your existing app or workflow
Project details
I integrate large language models (GPT-4, Claude, open-source LLMs) into your existing application or workflow. Whether you need a Retrieval-Augmented Generation (RAG) pipeline, an AI agent that performs multi-step tasks, or a simple text generation endpoint, I build clean, reliable integrations using LangChain and LangGraph.
I focus on practical LLM engineering — proper prompt design, token management, error handling, and cost optimization — so your AI features work reliably in production, not just in demos.
I focus on practical LLM engineering — proper prompt design, token management, error handling, and cost optimization — so your AI features work reliably in production, not just in demos.
AI Algorithms
AdaBoost, Convolutional Neural Network, CycleGAN, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AIOps, Conversational AI, Facial Recognition, Image Processing, Image Recognition, Image Upscaling, Natural Language Generation, Object Detection, Sentiment Analysis, Time Series AnalysisAI Development Language
PythonAI Tools
Gradio, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-4, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable DiffusionWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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.
Vector Database Setup
(+ 2 Days)
+$100
Prompt Library
+$75
Cost Optimization Audit
(+ 2 Days)
+$100Frequently asked questions
About Orbin
AI/ML Engineer | Deep Learning, NLP & Computer Vision | End-to-End Mod
Kozhikode, India - 2:34 am local time
My strongest areas include NLP (sentiment analysis, text generation, sequence-to-sequence models), computer vision (CNNs, CycleGANs), and classical ML (regression, classification, clustering, time series forecasting). I've built projects using PyTorch, TensorFlow, Scikit-Learn, LangChain, and PySpark, and I'm comfortable working with tools like Docker, GitHub Actions, and cloud services for MLOps workflows.
Some highlights from my project work: a real-time NLP pipeline for financial news intelligence using BERT, LDA, and Transformer summarization; a CycleGAN for unpaired face sketch-to-photo translation; a full CI/CD ML API with Prometheus/Grafana monitoring; and an Apache Spark ETL pipeline for churn prediction. I focus on writing clean, well-documented code and delivering results that are practical and measurable.
I'm responsive, detail-oriented, and genuinely passionate about solving problems with data. If your project involves building, improving, or deploying an ML/DL system, I'd love to hear about it.
Steps for completing your project
After purchasing the project, send requirements so Orbin can start the project.
Delivery time starts when Orbin receives requirements from you.
Orbin works on your project following the steps below.
Revisions may occur after the delivery date.
Use Case Assessment
Understand where and how LLM should fit into your app
Architecture Design
Choose the right model, framework (LangChain/LangGraph), and data flow