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You will get Customized Large Lang Model with your data

Vivek S.Status: Offline
Vivek S. Vivek S.
4.7
Top Rated
Preview image

Let a pro handle the details

Buy Generative AI services from Vivek, priced and ready to go.
Vivek S.Status: Offline
Vivek S. Vivek S.
4.7
Top Rated
Preview image

Let a pro handle the details

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

Project details

I have extensive experience in AI/ML/Gen AI for more than 10 years. I have developed CellStrathub as a dev tool.
You can also check our own custom LLM which works on Word documents and PDF documents and get customized answers.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer Model
AI Applications
AI Chatbot, Natural Language Generation, Natural Language Understanding, Neural Machine Translation
AI Development Language
Python
AI Models
ChatGPT, GPT-4, LaMDA, LLaMA, OpenAI Codex

What's included $99

These options are included with the project scope.

$99
  • Delivery Time 3 days
  • Number of Revisions 1
    • AI Model Integration
    • Pre-Training
    • Prompt Engineering
4.7
4 reviews
75% Complete
(3)
25% Complete
(1)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

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Vivek S.Status: Offline

About Vivek

Vivek S.Status: Offline
Senior Full-Stack Engineer | GenAI, LLM, RAG, FastAPI, AWS | SaaS
95% Job Success
4.7  (4 reviews)
Bengaluru, India - 6:18 am local time
Those who build intelligent product features WITHOUT modern development tooling and production-grade backend architecture usually see fragile systems and expensive rewrites. I do it differently.

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.

Clarification of Requirements

Custom data and demo project.

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