You will get Senior AI/ML Engineer | LLMs, Generative AI & Scalable Systems
Rising Talent
Project details
I build end-to-end AI/ML solutions including LLM applications, Generative AI systems, RAG pipelines, chatbots, and scalable backend integrations. My focus is on turning business requirements into production-ready AI systems using modern frameworks and cloud infrastructure.
Key deliverables include:
LLM-powered applications (OpenAI, Claude, Azure OpenAI, Bedrock)
RAG systems with vector databases (pgvector, Pinecone, Weaviate)
AI chatbots and virtual assistants
Workflow automation and AI agents
API integration and backend development (Node.js / Python)
Cloud deployment (AWS, Azure, Docker-based systems)
Secure, scalable, production-ready architecture design
Key deliverables include:
LLM-powered applications (OpenAI, Claude, Azure OpenAI, Bedrock)
RAG systems with vector databases (pgvector, Pinecone, Weaviate)
AI chatbots and virtual assistants
Workflow automation and AI agents
API integration and backend development (Node.js / Python)
Cloud deployment (AWS, Azure, Docker-based systems)
Secure, scalable, production-ready architecture design
AI Algorithms
Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, Automatic Speech Recognition, Conversational AI, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 1 | 2 | 4 |
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 | - |
Frequently asked questions
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NG
Nagham G.
May 18, 2026
Senior ai/ml engineer
excellent
About Asad
Senior AI/ML Engineer | LLMs, Gen AI, RAG, OpenAI, Deep Learning, NLP
London, United Kingdom - 2:55 am local time
I have strong experience building AI-powered platforms, chatbots, recommendation systems, computer vision solutions, and LLM-based applications using modern frameworks and cloud infrastructure.
My expertise includes end-to-end AI system development from research and model training to production deployment and monitoring.
What I can help you build
• LLM Applications (GPT, LLaMA, Claude, Mistral)
• RAG Systems with vector databases (Pinecone, FAISS, Weaviate, ChromaDB)
• AI Chatbots & Conversational AI for web, Slack, WhatsApp, Telegram
• Generative AI solutions (text, image, and code generation)
• Custom NLP pipelines (NER, sentiment analysis, classification, summarization)
• Deep Learning models for prediction, automation, and data intelligence
• Computer Vision systems (object detection, image classification)
• Agentic AI systems using LangChain, LangGraph, and LlamaIndex
• Model training, fine-tuning and optimization (LoRA, PEFT, quantization)
• MLOps pipelines and scalable AI deployment
Technologies & Tools:
AI / Machine Learning
TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face
LLM & GenAI
OpenAI API, LangChain, LlamaIndex, Transformers, RAG architectures
Deep Learning
CNN, RNN, LSTM, Transformers, GANs, Autoencoders
Vector Databases
Pinecone, FAISS, Weaviate, Milvus, Qdrant
Cloud & Infrastructure
AWS, GCP, Azure, Docker, Kubernetes, CI/CD
Languages
Python, Bash/Shell scripting
Why work with me
✔ 8+ years of AI/ML experience
✔ Production ready AI systems
✔ Scalable architectures for startups and enterprises
✔ Strong research + engineering background
✔ Clean, maintainable, well-documented code
If you're looking to build AI products, LLM applications, intelligent chatbots, or scalable machine learning systems, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement & Architecture Planning
Understand the use case, define system architecture, select the right AI models, tools, and design the workflow (LLM, RAG, APIs, database, etc.).
Development, Integration & Deployment
Build and integrate AI components, connect backend and frontend if needed, test the system, and deploy a production-ready solution with proper documentation.