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You will get a Custom LLM App with RAG

Aashir N.Status: Offline
Aashir N. Aashir N.
4.8
Preview imagePreview imagePreview image

Let a pro handle the details

Buy Generative AI services from Aashir, priced and ready to go.
Aashir N.Status: Offline
Aashir N. Aashir N.
4.8
Preview imagePreview imagePreview image

Let a pro handle the details

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

Project details

I build production ready LLM applications with Retrieval Augmented Generation (RAG) that go beyond simple chatbot demos.
My focus is reliability, scalability, and real-world integration. From document ingestion and vector databases to API deployment and monitoring, I deliver structured AI systems designed to reduce hallucinations, improve accuracy, and support real business workflows not just experiments.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer Model
AI Applications
AI Chatbot
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, Word2vec
AI Models
ChatGPT, LLaMA, OpenAI Codex
What's included
Service Tiers Starter
$110
Standard
$190
Advanced
$290
Delivery Time 2 days 4 days 7 days
Number of Revisions
234
AI Model Integration
Batch Normalization
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Database Integration
Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$150 - $490
4.8
16 reviews
94% Complete
(15)
1% Complete
(0)
1% Complete
(0)
6% Complete
(1)
1% Complete
(0)

NN

Nicholaus N.
5.00
Sep 13, 2025
Anomaly Detection Machine Learning Expert Great worker! Aashir goes the extra mile and helps fill in blind spots where I am less proficient. He's very smart as well. Strongly recommend.

SR

Stifu R.
2.15
Aug 11, 2025
Build a Zeek-Based Network Anomaly Detection System with Web Dashboard (Inspired by StratosphereIPS) Project failed completely, It was just too big for this freelancer and he wasn't able to finish the task even 1 month after deadline.
I think for smaler tasks he has a good skillset (Webdevelopment is for sure really good) but for bigger / complexer tasks it's not the man I would recommend.

JK

James K.
5.00
Feb 12, 2025
Trading Analytics Dashboard - Python, Supabase

UZ

Umair Z.
5.00
May 29, 2024
Jpeg to Base 9 Group Identifier

HB

Heraldo B.
5.00
May 28, 2024
Data analysis and report production
Aashir N.Status: Offline

About Aashir

Aashir N.Status: Offline
AI Engineer | AI Agents, Multimodal LLMs, RAG, NLP, Deep Learning
83% Job Success
4.8  (16 reviews)
Karachi East, Pakistan - 12:16 pm local time
Most AI/ML projects fail after the demo.

The model works. The notebook looks great.
But in production? Slow responses. Hallucinations. Poor forecasts. Scaling issues. No monitoring. No real ROI.

That’s where I come in.

I design and deploy production ready AI systems not experiments. From LLM applications and AI agents to forecasting engines and spatial intelligence platforms, I build systems that are stable, scalable, and built for real business workflows.

🔹 What I Build
• Custom LLM apps (GPT, Claude, Llama)
• Retrieval-Augmented Generation (RAG) with vector databases
• AI agents & workflow automation
• Private knowledge assistants over company data
• Time-series forecasting & anomaly detection systems
• Trading & financial signal models
• GeoAI / spatial ML pipelines (predictive mapping, mineral targeting)
• ML APIs & decision-support dashboards

🔹 End-to-End Execution
Data pipelines → Feature engineering → Modeling → Evaluation → Deployment → Monitoring

No fragile prototypes. No black-box confusion. Just structured, measurable AI systems.

I combine deep ML expertise (PyTorch, TensorFlow, Transformers) with backend engineering (FastAPI, SQL, cloud deployment) so your solution performs under real-world load.

If you’re facing:
• Unreliable LLM outputs
• AI hallucination issues
• Forecasting models that lack accuracy
• Poorly structured data pipelines
• AI tools that don’t integrate into workflows

Let’s fix it properly.

I focus on clarity, performance, and long-term scalability so your AI becomes an asset, not a liability.

Let's get connected and talk about the problem you are facing to make it production ready and scalable.

Steps for completing your project

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

Delivery time starts when Aashir receives requirements from you.

Aashir works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Review & Architecture Planning

Analyze use case, data sources, and define LLM + RAG architecture.

Data Ingestion & Embedding Setup

Process documents/data and configure embeddings + vector database.

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