You will get AI & Automation Consultation (LLMs, Workflows, SaaS Systems)
Project details
I focus on building practical AI systems - not just ideas. I help you design and implement scalable AI workflows, chatbots, and SaaS solutions that actually work in real-world environments.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Enhanced Classification, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-Neo, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 1 day
- Number of Revisions 1
- AI Model Integration
- Natural Language Processing
- Prompt Engineering
About Kartik
AI& Data Engineer| RAG, Multi-Agent Systems, LangChain| OpenAI& Claude
Jaipur, India - 10:50 pm local time
With expertise across Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Multi-Agent Systems, LangChain, LangGraph, MCP (Model Context Protocol), Databricks, OpenAI, Claude, and enterprise platforms such as Palantir Foundry and AIP, I design and deliver end-to-end AI solutions that improve decision-making, operational efficiency, and business outcomes.
From AI strategy and architecture to production deployment, I build scalable, enterprise-grade systems that integrate data, automation, and AI into practical business applications.
What I can help you with:
• Building AI applications powered by OpenAI, Claude, and other leading foundation models
• Designing and implementing RAG pipelines for enterprise knowledge systems
• Developing Multi-Agent AI systems and autonomous workflows using LangChain and LangGraph
• Building AI copilots, assistants, and conversational AI solutions
• Implementing MCP-based architectures for seamless tool and system integrations
• Creating intelligent workflow automation and AI-driven business processes
• Designing scalable ETL/ELT pipelines, data architectures, and analytics platforms
• Developing data-to-decision applications, dashboards, and operational systems
• Integrating AI into existing enterprise platforms and workflows
• Establishing secure, scalable, and governed AI solutions for production environments
I focus on practical AI implementations that deliver measurable business value while maintaining scalability, security, reliability, and governance.
Technology Stack
Generative AI & LLMs
OpenAI (GPT), Anthropic Claude, LLM Applications, RAG, Multi-Agent Systems, AI Agents, Prompt Engineering, Context-Aware AI Systems, Fine-Tuning, Vector Databases
AI Frameworks & Orchestration
LangChain, LangGraph, MCP (Model Context Protocol), Agentic Workflows, AI Orchestration, Tool Integration Frameworks
Data & Analytics Platforms
Databricks, Data Warehousing, Data Lakes, ETL/ELT Pipelines, Data Integration, Data Modeling, Analytics Engineering
Programming & Data Engineering
Python, SQL, Apache Spark, Distributed Data Processing, Data Pipeline Architecture
Cloud & Infrastructure
AWS, Microsoft Azure, Google Cloud Platform (GCP)
DevOps & Automation
Git, CI/CD Pipelines, Workflow Automation, MLOps
Enterprise Platforms
Anthropic Claude, Palantir Foundry, Palantir AIP, Ontology Modeling, Data Governance, Data Lineage, Operational Applications
Certifications & Training
• Claude Certified Architect
• Palantir Foundry Data Engineering Certification
• Palantir Foundry Application Developer Certification
• Foundry Aware Certification
• Palantir Learn Platform Badges
Whether you're looking to build AI agents, enterprise RAG systems, multi-agent workflows, intelligent automation platforms, Databricks-based data solutions, or production-ready GenAI applications using OpenAI and Claude, I can help design, build, and scale solutions that deliver real business impact.
Steps for completing your project
After purchasing the project, send requirements so Kartik can start the project.
Delivery time starts when Kartik receives requirements from you.
Kartik works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirement Review
Review your project details, goals, and current setup before the call.
Step 2: Consultation Call
1:1 session to discuss your use case, challenges, and AI approach.