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ඔබේ කරත්තය
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Zinn Hub
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ඔබේ කරත්තය
0

AKORA

I build RAG-powered chatbots, web dashboards, and AI search systems for businesses | Python, OpenAI, Pinecone

📍 Located in: උගන්ඩාව 🕐
🎯🤝 එක් වරක් හෝ දිගුකාලීන වැඩ සඳහා විවෘතයි 🌐 ඔබේ කාල කලාපයේ වැඩ කළ හැක
👤 නිදහස් සේවකයා
✔ සත්‍යාපිත
⭐ Zinner මට්ටම 1
🔗 AKORA මාර්ගගතව සොයන්න
🔍

ඔවුන් කවුදැයි දැන ගැනීමට ඔවුන්ගේ සබැඳි සහ මෙම පැතිකඩෙහි ඉතිරි කොටස ගවේෂණය කරන්න. Zinn Hub සෑම Zinner කෙනෙකුගේම පැතිකඩ විවෘතව හා විනිවිදභාවයෙන් තබා ගනී — එවිට ඔබට විශ්වාසය ගොඩනඟා විශ්වාසයෙන් යුතුව බඳවා ගත හැකිය.

💰 මිලකරණය
සාමාන්‍ය පැයක ගාස්තුව: $12.00/hr
ව්‍යාපෘති සඳහා උනන්දුයි: $12.00 – $15.00
🔒 ඔබ සෑහීමකට පත්වන තෙක් Zinn Hub විසින් ගෙවීම් ආරක්ෂිතව තබා ගනී · කාඩ්පත්, PayPal, Crypto සහ තවත් · ගැනුම්කරුවන්ගේ ගාස්තු නැත
✓

Zinn Hub විසින් සත්‍යාපනය කරන ලද කුසලතා

සත්‍යාපිත Zinner

AKORAZinn Hub වෙත ඔවුන්ගේ නිපුණතා කට්ටලය ඔප්පු කර ඇති අතර ඔවුන්ගේ කාර්යය පිළිබඳ සාක්ෂි සපයා ඇත. සෑම සත්‍යාපිත Zinner කෙනෙක්ම ප්‍රායෝගික තත්ත්ව සහතික සමාලෝචනයක් සමත් වේ — එබැවින් ඔබට විශ්වාසයෙන් යුතුව බඳවා ගත හැක.

🛡️ October 2026 සිට සත්‍යාපනය කර ඇත

සාමාජිකත්වය ලබාගත් දිනය
Oct 2026
ලැයිස්තුගත Zinns
0
අවසන් වරට සක්‍රිය වූයේ
17 hours පෙර

පිළිබඳ

I am an AI Engineer who builds intelligent systems that help businesses unlock the value hidden inside their own data. My specialty is Retrieval-Augmented Generation (RAG) — the technology that transforms static documents, PDFs, and knowledge bases into interactive, AI-powered assistants that answer questions in plain English.

I discovered my passion for AI engineering through an intensive, hands-on scholarship program where I completed a comprehensive track covering the entire modern AI stack. Through this journey, I built multiple working systems from scratch — not just tutorials, but real, functional applications. I learned how to architect RAG pipelines, manage vector databases, engineer effective prompts, and deploy AI tools that solve actual problems.

මට ඔබට ගොඩනැගිය හැකි දේ:

RAG-Powered Chatbots: AI assistants that read your documents and answer customer or employee questions accurately, with citations to the original source.

Semantic Search Engines: Search tools that find information by meaning, not just keywords — so your team finds what they need even when they don't know the exact words.

Document Q&A Systems: Turn your PDFs, manuals, and knowledge bases into an instant-answer system that saves hours of manual searching.

Interactive AI Apps: User-friendly Streamlit applications that make your AI tools accessible to anyone, no technical skills required.

Data Processing Pipelines: Automated scripts that clean, batch, and prepare your data for AI systems using Pandas and NumPy.

My Technical Toolkit:

Python, Pandas, NumPy, OpenAI API (Embeddings, Chat Completions, Function Calling, Responses API), Pinecone, ChromaDB, LangChain, Streamlit, t-SNE, Matplotlib, Git, and REST API integration.

මා වැඩ කරන ආකාරය:

I believe in clean, working solutions — not overcomplicated theory. I communicate clearly, deliver on time, and focus on understanding your actual problem before writing a single line of code. Whether you need a small prototype to test an idea or a complete system to automate a workflow, I will work with you to build something that genuinely helps.

I am early in my freelance journey, which means you get dedicated attention, competitive rates, and a genuine commitment to your project's success. I am not here to collect a paycheck — I am here to build a reputation, one happy client at a time.

If you have a document-heavy workflow, a customer support challenge, or an idea for an AI tool, let's talk. Send me a message and tell me what you're trying to solve. I will tell you honestly whether I can help — and if I can, I will give it everything I have.

කුසලතා

මෙම නිදහස් සේවකයා විශේෂීකරණය කරන තාක්ෂණයන් සහ විශේෂඥ දැනුම.

Search Clicks— AI සෙවුමක් හරහා ඔබේ Zinns සොයා ගැනීමෙන් පසු ගැනුම්කරුවෙකු ඔබේ Zinns එකක් මත ක්ලික් කළ මුළු වාර ගණන.

ප්‍රවර්ග

මෙම නිදහස් සේවකයාට ලබා ගත හැකි සේවා ප්‍රදේශ.

පෝට්ෆෝලියෝ

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →

Semantic Search Engine for Clothing Reviews

Built a semantic search engine that finds similar customer reviews based on meaning, not just keywords. What it does: Processes thousands of e-commerce clothing reviews from a CSV dataset Generates embeddings using OpenAI's API and stores them in ChromaDB Applies t-SNE dimensionality reduction to visualize review clusters in 2D Implements a search function that returns the 3 most semantically similar reviews to any query Demonstrates real-world applications like automated feedback categorization (Quality, Fit, Style, Comfort) Tech Stack: Python, ChromaDB, OpenAI Embeddings, Pandas, NumPy, scikit-learn (t-SNE), Matplotlib

විස්තර බලන්න →
📤 මෙම පැතිකඩ බෙදාගන්න
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ඔබගේ බ්‍රවුසරයේShare තට්ටු කරන්න

➜ ඉන්පසු "මුල් තිරයට එක් කරන්න" තට්ටු කරන්න