You will get Enterprise Multimodal Fine-Tuned LLM Solutions (GPT, Gemini, Claude, LLAMA)

Zain U.Status: Offline
Zain U. Zain U.
4.8

Let a pro handle the details

Buy Generative AI services from Zain, priced and ready to go.
Zain U.Status: Offline
Zain U. Zain U.
4.8

Let a pro handle the details

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

Project details

Unlock the power of Generative AI and Large Language Models (LLMs) to transform your business operations, automate workflows, and create intelligent applications tailored to your needs. Whether you need a fine-tuned AI assistant, a ChatGPT-like chatbot with custom knowledge, or a multimodal AI that processes text, images, and audio, I’ll design and deliver solutions built for scalability, performance, and real-world impact.

With 6+ years of experience and 50+ enterprise-grade AI projects delivered, I specialize in LLM fine-tuning (LoRA, QLoRA, SFT, DPO, RLHF), multimodal AI (text, image, audio models), and custom AI integration using frameworks like Hugging Face, LangChain, and OpenAI APIs. My clients include startups, SaaS providers, and Fortune 500 companies who rely on these solutions to cut costs, increase efficiency, and build next-gen AI products.

When you choose this project, you get more than a freelancer—you gain a technology partner who builds AI systems that work reliably in production, are optimized for performance, and tailored to your business goals.

Let’s build your custom AI solution—designed, fine-tuned, and deployed for impact.
AI Algorithms
Autoencoder, Convolutional Neural Network, CycleGAN, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, StyleGAN, Transformer Model, Variational Autoencoder
AI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Video, AIOps, Conversational AI, Image-to-Image Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Synthetic Data Generation
AI Development Language
Python
AI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vec
AI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$500
Standard
$1,200
Advanced
$2,500
Delivery Time 5 days 10 days 20 days
Number of Revisions
123
AI Model Integration
Batch Normalization
-
Database Integration
-
Detailed Code Comments
Image Upscaling
-
-
MLOps
-
-
Model Deployment
-
-
Model Documentation
-
Model Monitoring
-
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Model Testing & Optimization
Model Tuning
Natural Language Processing
NLP Tokenization
Pre-Training
Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $500
Additional Revision
+$100
4.8
49 reviews
92% Complete
6% Complete
1% Complete
(0)
1% Complete
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2% Complete

JS

Joanne Da S.
1.00
Feb 27, 2024
Looking for C, MicroPython developer

AY

Alex Y.
3.85
Sep 18, 2023
Inverter

JS

Joanne Da S.
5.00
May 22, 2023
Looking for C, MicroPython developer Great developer. Actually going to hire again right away

MP

Morgan P.
5.00
May 18, 2023
MicroPython Porting Engineer Had an outstanding experience with this freelancer. He was fast, prompt, and effective, completely solving my problem immediately. Very very grateful to Zain.

Kd

Kasun d.
5.00
Nov 29, 2022
Conceptual System Level Paper Design of a Car-Mounted Solar Cell and Wind Generator charger 2nd time with him. Did a very good Job
Zain U.Status: Offline

About Zain

Zain U.Status: Offline
Senior AI Engineer | RAG | LangChain | AI Agents | Agentic AI | LLMOPs
100% Job Success
4.8  (49 reviews)
Ubauro, Pakistan - 4:23 pm local time
⭐️ 1830+ Upwork hours
⭐️ 56+ completed projects spanning full-stack, machine learning, and generative AI.
⭐️ 16 end-to-end projects: RAG, multimodal RAG, Agentic AI systems, vision-language fine-tuning
Most AI projects stall in the gap between a working notebook and something you can actually ship and maintain — no clean deployment path, no way to evaluate or monitor it.

Closing that gap is my focus.

I'm Zain — a generative AI application engineer. Not just the model. The entire stack:
✅ Agent Orchestration ✅ RAG pipeline ✅ Fine-tuned LLM
✅API ✅ containerization and Kubernetes deployment ✅ CI/CD pipeline
✅ Monitoring and observability that keeps it all healthy at scale.

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WHAT I BUILD FOR YOU
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🔷 RAG & agents — semantic search, reranking, memory, and multi-agent workflows with LangChain, LangGraph, and CrewAI over FAISS, Qdrant, Pinecone, and AstraDB.

🔷 Fine-tuning — adapting open vision-language and language models (LoRA / QLoRA / PEFT / SFT) to your data and domain, efficiently enough to train on accessible hardware.

🔷 Deployment & MLOps — Docker, Kubernetes, FastAPI, GitHub Actions CI/CD, Terraform, and AWS, with Prometheus / Grafana monitoring and LLM-specific tracing via Langfuse. Your AI ships reliably, scales automatically, and is observable from day one.

🔷 Multimodal systems — pipelines that combine text, PDFs, images, and audio using OCR, vision-language models (CLIP, Qwen2-VL, Florence-2, MAIRA-2), and Whisper.

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WHO I WORK BEST WITH
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→ SMBs, funded startups, and agencies who need someone who can both build a GenAI feature and get it deployed — a builder who ships, not just a notebook.
→ CTOs and technical founders who need a senior AI partner, not just a developer

I do not take every project. I take projects where I can make a real difference — where the work is technically meaningful and the client is serious about building something that lasts.

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TECH STACK
━━━━━━━━━━━━━━━━━━━━━━
✅ Languages: Python · SQL · Shell · YAML · Rust
✅ LLMs & GenAI: OpenAI GPT · Claude · Gemini · LLaMA · Mistral · Hugging Face
✅ RAG & Agents: LangChain · LangGraph · LlamaIndex · Multimodal RAG
✅ Fine-Tuning: LoRA · QLoRA · SFT · DPO · RLHF
✅ Inference: vLLM · TGI · Quantization (GGUF · AWQ · GPTQ)
✅ Vector DBs: FAISS · ChromaDB · Pinecone · Weaviate. LanceDB
✅ ML/DL: PyTorch · TensorFlow · Scikit-Learn · Keras · OpenCV
✅ Backend: FastAPI · Flask · Django
✅ Databases: PostgreSQL · MySQL
✅ Cloud: AWS (EC2 · EKS · SageMaker · Fargate · ECR)
✅ Containers & Orchestration: Docker · Kubernetes · Helm
✅ Infrastructure as Code: Terraform · Ansible
✅ CI/CD: Jenkins · GitHub Actions · GitLab CI/CD · ArgoCD · CircleCI
✅ Monitoring: Prometheus · Grafana · ELK Stack · Langfuse
✅ Experiment Tracking: MLflow · Weights & Biases · DVC
✅ Version Control: Git · GitHub · GitLab

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If you are building an AI system that needs to actually work in production — not just in a notebook — I would like to hear about it.

Send me a message with what you are building, and I will tell you honestly whether I can help and how.

Steps for completing your project

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

Delivery time starts when Zain receives requirements from you.

Zain works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation & Planning

I analyze your requirements, select the right model, and finalize the approach.

Model Setup / Fine-tuning

Base LLM is prepared, fine-tuned, or optimized based on your needs.

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