You will get I will deploy and fine-tune your LLM pipelines
Project details
Scaling AI solutions requires more than just calling an API—it demands production-grade engineering. I specialize in designing, fine-tuning, and deploying high-performance LLM pipelines tailored to your specific domain and business goals.
My approach bridges the gap between research-level models and robust, real-world applications. Whether you need to fine-tune a model on your proprietary data or architect an end-to-end RAG (Retrieval-Augmented Generation) pipeline, I deliver scalable, secure, and optimized solutions.
Why partner with me?
Technical Depth: Expert proficiency in PyTorch, HuggingFace, and Azure ML.
Production-First: I build for low latency, high throughput, and long-term maintainability.
Performance-Driven: I provide data-backed insights, ensuring your model meets your accuracy and efficiency benchmarks.
Stop experimenting and start deploying. Let's build an AI pipeline that delivers tangible, high-quality results for your business.
My approach bridges the gap between research-level models and robust, real-world applications. Whether you need to fine-tune a model on your proprietary data or architect an end-to-end RAG (Retrieval-Augmented Generation) pipeline, I deliver scalable, secure, and optimized solutions.
Why partner with me?
Technical Depth: Expert proficiency in PyTorch, HuggingFace, and Azure ML.
Production-First: I build for low latency, high throughput, and long-term maintainability.
Performance-Driven: I provide data-backed insights, ensuring your model meets your accuracy and efficiency benchmarks.
Stop experimenting and start deploying. Let's build an AI pipeline that delivers tangible, high-quality results for your business.
Machine Learning Tools
Azure Machine Learning, BERT, NLTK, NumPy, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, Tesseract OCR, Word2vecWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$550
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Revision
+$30
Additional Model Variation
(+ 2 Days)
+$100
Model Documentation
(+ 1 Day)
+$75Frequently asked questions
About Shachindran
AI & NLP Engineer | LLM Pipelines & Document Intelligence
Bangkok, Thailand - 7:39 am local time
Core Technical Expertise:
- AI & NLP Pipeline Engineering: Proficient in designing end-to-end pipelines for LLMs, machine translation, and text classification using state-of-the-art frameworks.
- Document Intelligence & Extraction: Advanced experience in building hybrid-intelligence systems that transform high-entropy, complex technical layouts and unstructured documents into structured, actionable data.
- Model Engineering: Hands-on development using HuggingFace Transformers, PyTorch, and VLM architectures to improve extraction fidelity and output consistency.
- API & Data Engineering: Skilled in building high-concurrency FastAPI backends and SQL-backed data pipelines designed to process batch workflows with low latency.
- Prompt Engineering & Evaluation: Proven ability to engineer and evaluate LLM prompt strategies that optimize performance across diverse, multilingual datasets.
I am driven by the intersection of language ambiguity and systems engineering. Whether you need an intelligent data extraction pipeline, a custom NLP model, or production-grade AI integration, I deliver clean, documented, and highly efficient code tailored to your specific requirements. I am available for collaborative projects that demand technical precision and performance at scale.
Steps for completing your project
After purchasing the project, send requirements so Shachindran can start the project.
Delivery time starts when Shachindran receives requirements from you.
Shachindran works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Feasibility
We will define project scope, evaluate data quality, and select the optimal model architecture to ensure your goals are met.
Pipeline Engineering & Training
I will construct the end-to-end LLM pipeline, handle model fine-tuning, and configure the necessary infrastructure for your specific domain.