You will get Custom LLM Fine-Tuning & Domain-Specific Dataset Preparation
Project details
Unlock the full potential of your AI with expert LLM fine-tuning and custom dataset preparation. I specialize in tailoring large language models like GPT, LLaMA, Falcon, and more for domain-specific applications, ensuring high accuracy and efficiency. My services include dataset collection, cleaning, tokenization, instruction tuning, and performance optimization, so your model delivers reliable and context-aware outputs.
With 3+ years of experience in machine learning and AI development, I help startups and enterprises build production-ready AI models for industries such as healthcare, finance, legal, and e-commerce. I focus on reducing hallucinations, improving model accuracy, and deploying scalable solutions. Every project comes with detailed documentation, optional integration, and ongoing support.
Partner with me to turn your custom data into intelligent, high-performing AI models that meet your business goals.
With 3+ years of experience in machine learning and AI development, I help startups and enterprises build production-ready AI models for industries such as healthcare, finance, legal, and e-commerce. I focus on reducing hallucinations, improving model accuracy, and deploying scalable solutions. Every project comes with detailed documentation, optional integration, and ongoing support.
Partner with me to turn your custom data into intelligent, high-performing AI models that meet your business goals.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Keras, MATLAB, MLflow, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | ||
Taxonomy | - |
Frequently asked questions
About Suresh
AI Engineer | GenAI, NLP | Scalable, Cost-Efficient Systems
Karachi, Pakistan - 7:35 pm local time
I bridge the gap between data science and business strategy, combining predictive analytics, automation, cost-aware engineering, and cloud-based deployments to help organizations:
Transform raw data into actionable insights
Enhance decision-making with predictive, generative, and agentic AI
Reduce operational costs through intelligent AI systems
Core strengths include:
Designing and deploying scalable ML, DL & AI workflows in Python
Leveraging NLP, LLMs, embeddings, RAG, AI agents, and vector databases for real-world applications
Implementing cloud-based AI deployments on AWS for robust, scalable solutions
Applying predictive analytics to solve business-critical challenges
Building systems optimized for both performance and cost efficiency
I thrive at the intersection of technology and business impact, delivering solutions that optimize processes, unlock value, and create tangible results.
I’m passionate about learning, building, and collaborating to innovate and deliver measurable business impact
Steps for completing your project
After purchasing the project, send requirements so Suresh can start the project.
Delivery time starts when Suresh receives requirements from you.
Suresh works on your project following the steps below.
Revisions may occur after the delivery date.
Client Submits Requirements:
You provide project goals, preferred LLM, datasets, domain info, and reference materials.
Dataset Preparation:
Collect, clean, and preprocess your data for model training.