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You will get AI Resume Matcher | Langchain

Saad R.Status: Offline
Saad R. Saad R.
5.0
Top Rated
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Saad, priced and ready to go.
Saad R.Status: Offline
Saad R. Saad R.
5.0
Top Rated
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Saad, priced and ready to go.

Project details

AI Resume Matcher is an intelligent system that analyzes uploaded resumes and matches them against job roles stored in a custom database. Using AI and NLP, it evaluates skills, experience, and keywords to identify the best-fit jobs, helping users quickly find relevant opportunities or shortlist candidates efficiently.
AI Algorithms
Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, AI-Generated Code, Conversational AI
AI Development Language
Python
AI Models
ChatGPT

What's included $2,000

These options are included with the project scope.

$2,000
  • Delivery Time 10 days
  • Number of Revisions 2
    • AI Model Integration
    • Prompt Engineering
    • Setup File
    • Source Code
5.0
7 reviews
100% Complete
(7)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

CD

Carla D.
5.00
Jun 22, 2026
Full Stack AI Engineer Saad worked with us on a consulting project and we were very happy with his work. He was proactive, communicated very well, and consistently maintained an excellent attitude throughout the engagement. We definitely recommend his services and would love to collaborate with him again as our business needs evolve.

ZF

Zulfiya F.
5.00
Mar 5, 2026
Expert in n8n and Vapi for Part-time Project

ZF

Zulfiya F.
5.00
Feb 25, 2026
Expert in n8n and Vapi for Part-time Project

AL

Andrew L.
5.00
Jan 24, 2026
Next.js Developer + UI Stylist Saad did a good job and was great to work with.

MJ

Muhammad J.
5.00
Aug 14, 2024
Full-Stack Developer with AWS, Next.js, and Node.js Expertise Saad did an excellent job on our project. His thoughtful approach to both front-end and admin interface design is evident. His communication was clear and consistent, and the code he delivered was exceptionally clean and efficient.
Saad R.Status: Offline

About Saad

Saad R.Status: Offline
Full Stack AI Engineer | Claude | RAG | MCP | AI Agents & Automations
100% Job Success
5.0  (7 reviews)
Lahore, Pakistan - 1:39 am local time
I build production ready AI systems that help startups and businesses automate workflows, improve operations, and launch scalable AI products faster.

Specialized in AI agents, Agentic RAG, Claude MCP integrations, LLM applications, voice AI, and full stack AI SaaS development.

I use modern AI development workflows with tools like Claude, Cursor, Lovable, v0 by Vercel, and GitHub Copilot to build MVPs and production systems faster without compromising code quality, scalability, or architecture.

I have built AI solutions for sales automation, CRM intelligence, internal operations, knowledge management, and customer support automation using OpenAI, Claude, MCP, LangChain, vector databases, and automation platforms like n8n, Make, and Zapier.

My focus is not just building AI prototypes but creating reliable production systems that deliver measurable business outcomes by reducing manual processes, improving decision making, and creating new growth opportunities.

WHERE I DELIVER MOST VALUE:

→ AI SaaS MVPs (idea → production-ready system)
→ AI agents (sales, support, healthcare, automation)
→ RAG systems over enterprise/private data
→ CRM + lead generation automation pipelines
→ Legacy system modernization & refactoring
→ API-first backend architecture for scalable products
→ Workflow automation using n8n + LLM orchestration
→ Rescue & fix broken / abandoned systems

TECH STACK:

AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Claude
LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain
Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma
Inference Optimization: vLLM, TGI, TensorRT-LLM
Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts
Quantization: AWQ, GPTQ, GGUF, GGML
RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant
Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks
LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK

BACKEND SKILLS :

Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API.
Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore.
Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design.
Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure.
Experienced with Nest.js for enterprise-grade server-side applications.
LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations.
Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines.
Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping.
Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium.

FRONTEND SKILLS :

Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends.
Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA).
Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs.

AI SAAS & AUTOMATION PRODUCTS:

AI Knowledge Brain using Claude

Claude-based multi-agent automation that transforms meeting conversations into structured organizational knowledge, extracting decisions, action items, context, and insights.

AI Inbound Call Automation System

AI voice automation that handles inbound calls, qualifies leads, creates CRM records, and schedules meetings automatically.

Agentic AI Deal Intelligence System

AI automation that processes Gmail emails and PDFs, extracts deal and financial data, scores opportunities, removes duplicates, and generates daily summaries.

Notion Transcript Intelligence Pipeline

Claude-based multi-agent automation that converts meeting transcripts into structured Notion knowledge with decisions, action items, and insights.

Shopify Gorgias Ticket Automation — E-commerce

AI-powered e-commerce support automation that classifies customer tickets, routes priority cases, and automatically assigns tickets to the right team members.

HOW I WORK:

→ Quick scoping call before commitments
→ Milestone-based delivery (no vague timelines)
→ Weekly working demos
→ Transparent communication throughout
→ Production-first mindset (not prototypes)

💡 Have an idea? I turn it into a working product

Steps for completing your project

After purchasing the project, send requirements so Saad can start the project.

Delivery time starts when Saad receives requirements from you.

Saad works on your project following the steps below.

Revisions may occur after the delivery date.

Connect with the client to gather requirements and analyze needed changes.

Review the work, release payment, and leave feedback to Saad.