You will get a custom multi-LLM AI agent app with OpenRouter and Streamlit
Project details
I build production-grade Generative AI, agentic workflows, and computer vision systems tailored to your business needs. Holding an M.Tech in Computer Science from NIT Durgapur, I bring deep technical expertise in orchestrating multi-LLM platforms (OpenAI, Claude, Gemini, Grok), building robust RAG pipelines, and creating custom Vision-Language document extraction APIs. What sets my work apart is production readiness: I enforce strict Pydantic structured output validation with automated JSON repair, engineer leak-free ML features, and ship clean containerized code (FastAPI/Streamlit/Docker) ready for AWS deployment. Whether you need a multi-agent dashboard or a document-to-data pipeline, you will receive reliable, well-documented code designed to scale.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, YOLOAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, Image Analysis, Image Processing, Image Recognition, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$500
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 5 |
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 |
Frequently asked questions
About Raj Karn
AI & LLM Engineer | Agentic Systems, Computer Vision & RAG
Kolkata, India - 12:10 am local time
Holds an M.Tech in Computer Science from NIT Durgapur (GATE Qualified) with 3+ years of experience delivering production AI tools—ranging from multi-LLM orchestration platforms to document/chart extraction pipelines.
Core Technical Capabilities
Generative AI & LLMs: Multi-LLM Orchestration (OpenAI, Claude, Gemini, Grok via OpenRouter), Agentic Workflows, LangChain, Pydantic, Structured Outputs, RAG, Prompt Engineering, LLM-as-a-Judge.
Computer Vision & Data Extraction: Vision-Language Models (VLMs), Instance Segmentation (RF-DETR, YOLOv8), Image-to-JSON Pipelines, Tesseract OCR, OpenCV.
Machine Learning & Data Science: XGBoost, LightGBM, Transformers, PyTorch, BioLORD Embeddings, Graph Embeddings (Node2Vec), SHAP Explainability.
MLOps & Full-Stack Deployment: FastAPI, Streamlit, AWS (EC2, S3, EKS, DynamoDB), Docker, Kubernetes, Nginx, Jenkins CI/CD, Git.
Highlighted Impact
Multi-Model Orchestration: Architected AgentZ, an internal AI studio serving 9 custom agents across multiple LLM providers with resilient background processing.
Complex Vision Pipelines: Built VLM-powered Chart Digitization engines converting complex graphs (Kaplan-Meier, Waterfall plots) into structured data with multi-model consensus verification.
Quality Optimization: Root-caused extraction defects across clinical image datasets, improving pass rates from 59% to ~85%.
Whether you need a custom LLM agent, a sophisticated document extraction pipeline, or an end-to-end ML service deployed to AWS, I bring rigorous computer science fundamentals and production-ready code. Let’s talk about your project!
Steps for completing your project
After purchasing the project, send requirements so Raj Karn can start the project.
Delivery time starts when Raj Karn receives requirements from you.
Raj Karn works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Data Review
Analyze project specs, sample datasets, and API/cloud access to map the exact system architecture.
Core AI & Pipeline Development
Build and fine-tune the pipeline, LLM prompts, agent logic, or vision models with output validation checks.