You will get a cloud formation of Autoscalable ML service with GPU on ECS service.
Project details
You will get an ECS with ML GPU supported infra as a code which you can leverage with Cloudformation. You can use it for scalable deployment of ML/deep learning model pipelines or LLMs. The code is a combination of many services AWS offers to build a public-facing application. within 15 min infra will be ready to service a high amount of load.
The infrastructure will be highly scalable and secure. When the formation is ready it'll give ELB url where APIs can be accessed. My integration can be done to infra like s3, ELB, lambda, etc to leverage AWS services.
The infra is a solution for the deployment of a locally tested ML/deep learning application for a large number of users using AWS.
The infrastructure will be highly scalable and secure. When the formation is ready it'll give ELB url where APIs can be accessed. My integration can be done to infra like s3, ELB, lambda, etc to leverage AWS services.
The infra is a solution for the deployment of a locally tested ML/deep learning application for a large number of users using AWS.
AI Development Type
Software MaintenanceAI Tools
Amazon SageMaker, NVIDIA AI Platform, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$90
|
Standard
$120
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | - | |
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - | - |
About Shubham
AI & Machine Learning Engineer | MLOps | GenAI | AWS
Bengaluru, India - 5:19 pm local time
I'm Shubham aka Kaizen, a seasoned AI and ML enthusiast with 100% job success specializing in creating customized solutions to meet your unique needs. With a strong foundation in science and technology, I've had the privilege of collaborating with both established organizations and startups to craft groundbreaking AI projects. Allow me to introduce you to the array of projects I can help you with and the technologies I bring to the table.
💼 Type of Projects I Handle 💼
🤖 Custom AI Chatbots: Crafting tailored AI chatbot solutions that perfectly fit your requirements, ensuring a seamless communication experience.
🛠️ Generative AI Tools and Platforms: Assisting organizations in the development of proprietary generative AI models, tools, and SaaS Minimum Viable Products (MVPs).
🔍 Specialized AI Projects: Tackling unique and specialized AI initiatives, offering innovative solutions to complex challenges.
📜 Fine-tuning LLMs: Leveraging state-of-the-art techniques to fine-tune open-source Language Models (LLMs) for specific applications like llama2.
📊 Chat with Data (RAG): Developing intelligent chatbots that can interact with data, providing insights and answers.
🤖 Personalized AI Bots: Creating AI bots tailored to your specific needs, enhancing user experiences.
🌐 LangChain Expertise: Proficient in working with LangChain for advanced AI applications.
🔎 Semantic Search Engines: Building semantic search engines finetuned to your data to efficiently retrieve information from vast datasets.
👤 Agents: Developing AI agents to automate tasks and streamline processes.
📑 Data Extraction: Expert in extracting structured data from unstructured documents for insightful analysis.
📦 Deployment of Models: Deployment of already built AI solution on AWS or other Cloud Services with Docker, K8, Sagemaker, Terraform, ECS, and cloud formation.
🤖 Chatbots with Knowledge Base Integration: Constructing chatbots powered by ChatGPT, utilizing your knowledge base to provide informative responses.
🔒 Data Privacy Consultation: Providing guidance on data privacy best practices.
📝 Embedding Generation: Utilizing advanced embedding techniques to enhance AI model performance.
❓ Question Answering: Implementing AI models for large private document question-answering, including PDFs.
📄 Document Chunking: Efficiently handling and processing large documents.
📦 OpenAI Function Calls: Proficient in utilizing OpenAI's function call features for custom applications.
🛠️ Tech Stack and Services 🛠️
I employ a diverse set of tools and services, including but not limited to:
- LangChain
- Opensource Models: LLama2, Stable-Diffustion, Vicuna
- API: FastAPI, Flask, Django
- OpenAI's ChatGPT API
- Open-source embeddings from Hugging Face: Bert, Deberta etc
- Vector Databases: Pinecode, Qdrant, Chroma, Annoy
- TensorFlow
- PyTorch
- Retrieval-augmented generation (In-context learning)
- Prompt engineering
- OpenAI function calls
- AWS
🌐 Platforms and Tools 🌐
I'm well-versed in platforms and tools such as Eleven Labs, AWS, Azure, GCP, Hugging Face, SageMaker, Cloudformation, Botpress, Stack AI, Midjourney, Stable Diffusion, and more. I'm capable of integrating my solutions with various platforms including Telegram, WhatsApp, Discord, websites, and organization-specific platforms.
🔥 Why Choose Me? 🔥
Here's why you should consider collaborating with me:
- Proven track record of developing proprietary enterprise tools, platforms, and bots for organizations.
- A strong educational background in Computer Science from GCET.
- Experience in creating AI-based SaaS MVPs.
- Integrating Stable diffusion solutions for your content creation process.
- Over 4 years of professional experience working with both multinational corporations and startups.
- Successful projects in developing WhatsApp and Telegram bots that have scaled massively.
- Notable accomplishment: Developed a chatbot that efficiently handles student's questions of K12 maths, science, and other subjects, providing solutions within 10 seconds
Let's embark on a journey to transform your AI vision into reality. Feel free to reach out to discuss your project and explore the possibilities.
Steps for completing your project
After purchasing the project, send requirements so Shubham can start the project.
Delivery time starts when Shubham receives requirements from you.
Shubham works on your project following the steps below.
Revisions may occur after the delivery date.
App requirement
To understand what AWS services will be used by the app. like s3, EBS, etc.
Connecting Dockerized Image with ECS
Building a docker image and adding it on ECR.