You will get An AI agent that routes social signals into sales leads or content briefs
Project details
You will get a fully working AI pipeline that reads Reddit and Hacker News posts in real time and automatically decides — is this a sales lead or a content opportunity?
Unlike generic classifiers, this system combines Claude (semantic scoring across 5 dimensions), ChromaDB vector memory (learns from historical outcomes and improves over time), and MCP — three advanced technologies most freelancers use separately, if at all.
Every signal outputs a structured 13-field strategy.json with full reasoning — not just a label. Plugs directly into HubSpot, n8n, Make.com, or any webhook. Runs in under 60 seconds per signal.
Built-in trend penalty suppresses viral-but-meaningless posts. A high-intent override catches real buyers before they go viral. Every decision is auditable and explainable.
This is not a demo — it is a production-shipped system, stress-tested against real-world noise and fully documented. You get clean commented source code, a setup file, and a working CRM integration.
Unlike generic classifiers, this system combines Claude (semantic scoring across 5 dimensions), ChromaDB vector memory (learns from historical outcomes and improves over time), and MCP — three advanced technologies most freelancers use separately, if at all.
Every signal outputs a structured 13-field strategy.json with full reasoning — not just a label. Plugs directly into HubSpot, n8n, Make.com, or any webhook. Runs in under 60 seconds per signal.
Built-in trend penalty suppresses viral-but-meaningless posts. A high-intent override catches real buyers before they go viral. Every decision is auditable and explainable.
This is not a demo — it is a production-shipped system, stress-tested against real-world noise and fully documented. You get clean commented source code, a setup file, and a working CRM integration.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI-Enhanced Classification, Natural Language Generation, Sentiment AnalysisAI Development Language
PythonAI Models
GPT-4What's included
| Service Tiers |
Starter
$400
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 12 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 |
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JM
Joe M.
Nov 10, 2025
Application Support and Maintenance
Rajesh and his team have been excellent at monthly support and upkeep while communicating quickly and effectively.
PM
Patrick M.
Oct 7, 2025
Continued AI Application Development
The MLExperts team is fantastic in helping bring clarity to AI/ML infrastructure issues and operational slowdowns. They've been invaluable contributors in our buildout. We would still be working through kinks and hiccups if not for their experience helping remove roadblocks in our project.
BM
Belbin M.
Sep 9, 2025
AI Solutions Architect
BM
Belbin M.
Sep 5, 2025
AI Solutions Architect
About Rajesh
AI Engineer | Automation | AI Agents| LLM | Full Stack
100%
Job Success
Bengaluru, India - 10:02 pm local time
I've spent 13 years in engineering — Samsung R&D, Urban Ladder, Ola Finance, HDFC — and the last few years almost entirely building LLM systems that actually ship and stay running.
A few things I've built recently:
An agentic pipeline that reads Reddit and HN posts, scores buying intent across 5 dimensions using Claude + vector memory, and routes leads to sales or content — automatically, in under
60 seconds. Before this, the same process took a sales rep hours, sometimes days.
A personalized AI storytelling platform for kids that hit 41% free-to-paid conversion and 68% month-1 retention. Parents generate a story in under 3 minutes. The AI makes their child the hero. It works because we got the quality bar right, not just the tech.
A conversational analytics tool for a retail client that translates plain English questions into SQL queries against live warehouse data — RAG + intent generation + semantic correction, built on AWS Glue and Athena.
That's the kind of work I do. Not demos. Not proofs of concept
If you're building something real and need someone who'll think through the architecture properly, own the delivery, and actually give a damn about whether it works in production — tell me what you're working on.
Stack: LangGraph, FastAPI, Python, Next.js, Hermes, MCP, Claude/OpenAI/Gemini
APIs, ChromaDB, Pinecone, Supabase, PostgreSQL, AWS, Node.js
Steps for completing your project
After purchasing the project, send requirements so Rajesh can start the project.
Delivery time starts when Rajesh receives requirements from you.
Rajesh works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Source Setup
Review your data sources, routing goals, and CRM setup. Configure Reddit/HN API access and define your signal scoring criteria.
Build Scoring & Routing Engine
Implement Claude-powered semantic scoring across 5 dimensions. Set up dual-route logic with trend penalty and urgency override.