You will get Generative Models in various creative tasks
Top Rated
Project details
I have extensive experience in Generative for over 5 years. I have done multiple projects using pytorch, tensorflow, Caffe, and various tools for a multitude of clients in the following fields:
GAN
Wassertein GAN
Conditional GAN
Dual GAN
Anime GAN
AutoEncoders
BLIP
Avatar Generator
Text to Image
Dall-E
Stable Diffusion
Image de-noising
Super-resolution
Omnivore
Music Generation
Whether you want pre-trained models on predefined datasets or custom training for any dataset, I can help you with it.
Please visit my website: CellStrat Hub to understand my existing projects.
🔴 Note:
✔ Please get in touch with me before placing your order!
✔ Providing Quality Work to my potential client is my top priority!!
Thank You!
GAN
Wassertein GAN
Conditional GAN
Dual GAN
Anime GAN
AutoEncoders
BLIP
Avatar Generator
Text to Image
Dall-E
Stable Diffusion
Image de-noising
Super-resolution
Omnivore
Music Generation
Whether you want pre-trained models on predefined datasets or custom training for any dataset, I can help you with it.
Please visit my website: CellStrat Hub to understand my existing projects.
🔴 Note:
✔ Please get in touch with me before placing your order!
✔ Providing Quality Work to my potential client is my top priority!!
Thank You!
What's included
| Service Tiers |
Starter
$100
|
Standard
$1,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 5 days | 30 days | 60 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
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About Vivek
Senior Full-Stack Engineer | GenAI, LLM, RAG, FastAPI, AWS | SaaS
95%
Job Success
Bengaluru, India - 9:07 am local time
Clients contact me when they face below:
• Their LLM feature works but isn’t stable
• A RAG pipeline needs proper backend integration
• An AI prototype must become production-ready
• Performance and scalability issues are emerging
• They need a senior engineer who can join an ongoing project and take ownership
I specialize in designing and deploying Gen AI systems integrated into clean full-stack architecture. My focus is not experimentation it’s production.
Core Specialization
• Generative AI application development
• Large Language Model (LLM) systems
• Retrieval-Augmented Generation (RAG) pipelines
• Agentic workflows (LangGraph-based orchestration)
• Vector database integration (Pinecone, Weaviate, FAISS)
• Structured output validation and evaluation systems
• SaaS backend architecture
• API-first full-stack engineering
• AWS cloud deployment
Planning & Product Structuring:
• Linear
• Framer AI
Engineering & Implementation:
• Cursor
• Claude Code
• GitHub Copilot
• Replit
Backend Architecture & API Layer:
• Python
• FastAPI
• PostgreSQL
• Supabase
• Firebase
• REST APIs
• OpenAPI
• Async Architecture
Frontend & Deployment:
• Tailwind CSS
• Modern Component Frameworks
• Vercel
Cloud Infrastructure & Scalability:
• AWS (S3, EC2, Lambda, App Runner, Bedrock)
• Docker
• CI/CD Pipelines
• Multi-Tenant SaaS Architecture
Monitoring & Production Reliability:
• Sentry
• Structured Logging
• Observability Systems
What I Build:
• LLM-powered SaaS features
• RAG-based knowledge systems
• Multi-step agent workflows
• Document intelligence and automation tools
• AI copilots integrated into existing platforms
• Full-stack SaaS platforms with Generative AI layers
• Backend restructuring for AI-enabled products
I work primarily with funded startups and mid-size product companies.
My Typical engagements include:
• Joining an active engineering team as senior backend/AI lead
• Hardening LLM and RAG systems before scale
• Designing full-stack architecture for new AI features
• Refactoring unstable AI integrations
• Leading backend modernization for SaaS products
I’m comfortable stepping into ongoing projects, reviewing codebases, and stabilizing systems quickly.
If you’re experimenting with AI concepts, there are many lower-cost options available.
If you’re building AI-enabled SaaS features that need to handle real users, real data, and real scale senior architecture matters.
I focus on long-term maintainability, measurable performance, and clean engineering.
Share your current stack, your AI roadmap, and the bottlenecks you’re facing. I’ll evaluate it and propose a structured approach.
Steps for completing your project
After purchasing the project, send requirements so Vivek can start the project.
Delivery time starts when Vivek receives requirements from you.
Vivek works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset
1. Clear Problem definition 2. Requirements - as detailed as possible 3. Relevant datasets