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You will get Generative AI/LLM App | GPT3, GPT3.5, GPT-4, DALL.E | PaLM 2 Integration
Rising Talent

Project details
With extensive skills in Data & AI field, I will be delivering the custom-tailored solution for your Generative AI / LLM use case using technology Open AI, GPT-3, GPT-3.5, GPT-4, PaLM 2 or Vertex AI. I have experience in developing & deploying solutions end-to-end on cloud platforms such as Azure, Google Cloud & AWS.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$1,500
|
Advanced
$3,250
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
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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LS
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It's been a pleasure working with the Dataslush team. Impressive skillset, communication, and availability.
Will definitely be working with the team on projects in the future!
Will definitely be working with the team on projects in the future!
LS
Lindsey S.
Apr 9, 2024
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Thank you so much for your work on this project. The delivery was on time and within budget. Great results!
About Darsh
AI Engineer | Data Engineer | Google Cloud Certified
100%
Job Success
Ahmedabad, India - 12:41 am local time
that die in staging.
My stack: multi-agent orchestration, RAG pipelines, tool calling, memory
management, MCP servers, and end-to-end deployment on Cloud.
I have shipped Data systems serving 10,000+ users, handling millions of daily
queries, and running continuously for 2+ years.
What I bring that most AI engineers don't: I have sat in the room with
clients when production breaks, diagnosed it, and fixed it. I
architect, I ship, and I stay accountable for outcomes not just
delivery.
Current focus areas:
- Multi-agent architectures: LangGraph, CrewAI, Google ADK, MCP
- RAG systems: vector search, hybrid retrieval, cross-encoder reranking
- Google Cloud: Vertex AI, Agent Runtime, BigQuery, Cloud Run, Pub/Sub
- LLMs: Gemini, Claude, Llama - whichever fits the production constraint, Fine-Tuning
I also run devlit.ai, a technical learning platform on production AI
systems. Which means I explain complex architectures clearly, not just
build them.
GCP Professional Data Engineer · GCP Professional Cloud Architect
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