You will get LLM-Powered Features Added to Your Existing Web Application
Project details
I'll add AI-powered features to your existing web application. Clean integration, production-ready, with proper error handling.
Features I can add:
• Semantic search across your content or documents
• AI-generated summaries, categorization, or tagging
• Document Q&A (upload a PDF, ask questions about it)
• Smart content generation (product descriptions, emails, reports)
• AI-powered data extraction from unstructured text
• Natural language filters or queries for your database
Tech stack: OpenAI API or Claude API, Python or Node.js, your existing framework. I work with React, Next.js, FastAPI, Express, PostgreSQL, Supabase.
What I need from you:
• Access to your codebase or a staging environment
• Description of the feature you want
• Any sample data or documents
Typical timeline: 3-7 days for a single feature integration. I'll scope it before starting so there are no surprises.
15 years building production systems at Ericsson, ADP, and Tarana Wireless. I know how to add AI features without breaking what already works.
Features I can add:
• Semantic search across your content or documents
• AI-generated summaries, categorization, or tagging
• Document Q&A (upload a PDF, ask questions about it)
• Smart content generation (product descriptions, emails, reports)
• AI-powered data extraction from unstructured text
• Natural language filters or queries for your database
Tech stack: OpenAI API or Claude API, Python or Node.js, your existing framework. I work with React, Next.js, FastAPI, Express, PostgreSQL, Supabase.
What I need from you:
• Access to your codebase or a staging environment
• Description of the feature you want
• Any sample data or documents
Typical timeline: 3-7 days for a single feature integration. I'll scope it before starting so there are no surprises.
15 years building production systems at Ericsson, ADP, and Tarana Wireless. I know how to add AI features without breaking what already works.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-3, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | 4 |
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.
Fast Delivery
+$150 - $300
Additional Revision
+$100
Additional AI Feature
(+ 3 Days)
+$300
Extended Post-Launch Support
+$200Frequently asked questions
About Govind
AI Agent Builder | LangGraph, RAG, LLM Integration | Python
Pune, India - 4:58 am local time
What I've shipped: A multi-agent pipeline using LangGraph that takes a feature request, plans the implementation, writes code and tests, runs review loops, and opens a PR-ready pull request. Full orchestration with human-in-the-loop approval and durable checkpointing.
An AI coding agent that reads JIRA tickets and auto-generates frontend implementations, cutting hours of routine work for an 8-person engineering team.
RAG systems with hybrid search (keyword + semantic + Reciprocal Rank Fusion) on pgvector for accurate, context-aware retrieval.
Production AI chatbots with custom knowledge bases using OpenAI and Claude APIs. Live demo in my portfolio.
AI stack: Python, LangGraph, LangChain, CrewAI, OpenAI Agents SDK, MCP, pgvector, FastAPI.
Full-stack: React, Next.js, Node.js, TypeScript, PostgreSQL, Supabase, AWS, Vercel.
15 years building production systems. Platforms handling 50K+ daily operations. Insurance products serving 10,000+ users. I've worked at Ericsson, ADP (onsite in the US), and Tarana Wireless.
M.S. Computer Science, Texas A&M University (USA). AWS Certified Developer.
I can work up to 25 hours/week. I communicate during US business hours when needed and respond within a few hours on work days.
Steps for completing your project
After purchasing the project, send requirements so Govind can start the project.
Delivery time starts when Govind receives requirements from you.
Govind works on your project following the steps below.
Revisions may occur after the delivery date.
Codebase Review and Scoping (Day 1)
I review your existing code, understand the feature requirements, and deliver a clear scope with exactly what I'll build and how it integrates with your application.
Build and Integrate (Day 2-5)
Build the AI feature with LLM API integration, prompt engineering, input validation, and response parsing. Integrated directly into your existing application code.