Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get Generative AI Application for customer engagement

Connor D.Status: Offline
Connor D.
Preview image

Let a pro handle the details

Buy Generative AI services from Connor, priced and ready to go.
Connor D.Status: Offline
Connor D.
Preview image

Let a pro handle the details

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

Project details

Using state-of-the-art generative AI frameworks, I will deliver a chatbot much more sophisticated and reliable than any OpenAI customer GPT.
AI Algorithms
Large Language Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, Conversational AI, Natural Language Understanding, Sentiment Analysis
AI Development Language
Python
AI Tools
Azure OpenAI, Hugging Face, NVIDIA AI Platform
AI Models
BERT, ChatGPT, GPT-4, LLaMA, Midjourney AI, Whisper
What's included
Service Tiers Starter
$3,000
Standard
$10,000
Advanced
$20,000
Delivery Time 7 days 30 days 60 days
Number of Revisions
1310
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
Connor D.Status: Offline

About Connor

Connor D.Status: Offline
Generative AI Software Engineer
Oakland, United States - 11:13 am local time
**Kinship Companions | Founder and AI Engineer**

*(September 2023 - Present)*

- Founded Kinship Companions, pioneering the creation of personalized, life long AI companions for children.
- Built the integration of RAG (retrieval-augmented generation) to improve the generative capabilities of our AI models.
- Implemented LLM function calling concepts to create bots with the ability to act autonomously, store + retrieve memories, and demonstrate intelligent human behaviors.
- Leveraged Theory of Mind understanding in AI development to foster realistic interactions between the AI companions and children by creating data structure designed to abstract the child’s traits and dynamically change overtime.
- Devised a system for AI companions to form memories, influencing their future interactions and responses based on past dialogs, thereby personalizing and continually evolving interactions.

**Stake | Software Engineer and Product Manager**

*(February 2023 - August 2023)*

- Developed application layer object model with autonomous background jobs to update daily through a custom distributed computing platform I built from scratch.
- This powered analytics tools using a custom built snapshot framework in the multi-family real estate industry to deliver insights to apartment managers, while additionally ensuring the accuracy and efficiency of data processing and presentation through testing automation suite custom built to test the full data pipeline.
- Integrated RAG to create enhanced intelligent assistant to autonomously document code and perform commit level summarization of application layer.
- Implemented LLM function calling to implement autonomous decision-making capabilities into the platform.

**Zuma Messaging Platform | AI Backend Engineer**

*(January 2022 - June 2022)*

- Enabled AI in the messaging platform using server less framework on AWS Lambda with NodeJS.
- Implemented AI tooling capabilities for enabling autonomous actions with all popular property management systems.
- Implemented Agent tracking metrics for AI evaluation and assessment.

**Workday Student Cloud University Application | Associate Software Application Engineer, AI Focus**

*(August 2017 - January 2020)*

- Built background jobs and business process flows, reimplemented critical Attendance Plan job in with modular processing for necessary performance gains to solve critical scaling issue for the University application product.
- Implemented a function call-based AI system to allow for autonomous decision-making in the application.
- Used RAG to enhance the natural language processing capabilities of the application.

**Skills**

- AI systems: RAG (retrieval-augmented generation), LLM function calling, Theory of Mind in AI
- Backend development: Python, Flask, NodeJs, Java, C++, OpenAI, LangChain
- serverless functions for AI integrations and Memory generation through Dreaming (Azure, AWS)
- Front end: NextJS + Tailwind.css deployment on Fly.io
- Databases: Redis, PostgreSQL, MongoDB, Google Cloud Data Lake
- Version control with Git, production deployment with Docker Container Registry
- Management of agile engineering teams and product lifecycles
- Expert in release roadmaps, feature design, sizing, and functional requirements
- Expert in technical customer support from startup experience

Steps for completing your project

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

Delivery time starts when Connor receives requirements from you.

Connor works on your project following the steps below.

Revisions may occur after the delivery date.

Client Meeting

Video call with you to determine the scope of the project.

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