You will get a semantic search or AI-powered product recommendation engine
Rising Talent
Rising Talent
Project details
I build semantic search and recommendation systems that match users to the right content, product, or result based on meaning, not just keywords.
Using FAISS and sentence transformers (SBERT), I've built a live product recommendation engine that finds relevant matches across large datasets in milliseconds. It understands context, handles natural language queries, and scales.
This is for you if keyword search isn't cutting it and you need a system that understands what your users actually mean.
Using FAISS and sentence transformers (SBERT), I've built a live product recommendation engine that finds relevant matches across large datasets in milliseconds. It understands context, handles natural language queries, and scales.
This is for you if keyword search isn't cutting it and you need a system that understands what your users actually mean.
AI Development Type
Deep Learning, Knowledge Representation, Recommendation SystemAI Tools
Apache MXNet, Azure Machine Learning, BigDL, Deeplearning4j, Open Neural Network Exchange, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$120
|
Standard
$150
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 4 days | 5 days | 8 days |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | ||
Source Code | |||
Taxonomy | - | - |
About Shanzia Shabnom
ML Engineer & AI Technical Writer - LLMs, RAG, Computer Vision
Dhaka, Bangladesh - 4:13 am local time
engineers actually trust.
ML Engineering Background:
- Computer Vision: PyTorch, OpenCV, GradCAM, domain generalization
- LLMs & RAG: LangChain, FAISS, Ollama, vector search
- Production ML: FastAPI, Docker, Streamlit, PostgreSQL
- Agentic Workflows: LLM auditing, search validation at 200K+ scale
I'm a regular contributor to Towards AI with over a year of active technical writing experience covering topics I've actually built and deployed. High-volume writing background with consistent delivery under deadline.
Every piece is backed by working code.
Open to a paid sample article to start.
Response time: 0–4 hours.
Steps for completing your project
After purchasing the project, send requirements so Shanzia Shabnom can start the project.
Delivery time starts when Shanzia Shabnom receives requirements from you.
Shanzia Shabnom works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset review and text preprocessing
Sentence embedding with SBERT