You will get a custom AI model or machine learning solution for your business
Project details
I will build a machine learning solution tailored to your problem from data processing to model development and deployment.
With a strong background in AI engineering and full-stack development, I don’t just train models. I deliver complete, usable systems. Whether you need prediction, classification, or recommendation systems, I ensure your solution is accurate, scalable, and production-ready.
What sets me apart:
✔ End-to-end development (data → model → API/web app)
✔ Clean, well-structured, and reproducible code
✔ Focus on real-world impact, not just metrics
✔ Clear communication and fast response
You will receive a reliable ML solution that can be directly used for your business or product.
With a strong background in AI engineering and full-stack development, I don’t just train models. I deliver complete, usable systems. Whether you need prediction, classification, or recommendation systems, I ensure your solution is accurate, scalable, and production-ready.
What sets me apart:
✔ End-to-end development (data → model → API/web app)
✔ Clean, well-structured, and reproducible code
✔ Focus on real-world impact, not just metrics
✔ Clear communication and fast response
You will receive a reliable ML solution that can be directly used for your business or product.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Keras, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$25
|
Standard
$75
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Model Variation
(+ 1 Day)
+$30
Dashboard Integration (Next.js)
(+ 2 Days)
+$60
Streamlit Dashboard
(+ 1 Day)
+$10Frequently asked questions
About Krisna
AI Engineer | Build End-to-End Systems (ML + Web Deployment)
Garut, Indonesia - 10:20 am local time
I am an AI Engineer with hands-on experience in developing end-to-end solutions, combining machine learning, backend systems, and scalable deployment.
What I can help you with:
- Machine Learning & Deep Learning (TensorFlow, PyTorch)
- LLM Integration (AI assistants, prompt engineering, fine-tuning)
- Computer Vision (OpenCV, real-time systems)
- NLP Systems (classification, sentiment analysis, recommendation)
- End-to-End ML Pipelines (data → model → deployment)
- Fullstack Integration (Next.js, APIs, backend systems)
- Deployment & MLOps (Docker, AWS, monitoring)
Proven Experience:
- Built an end-to-end sleep disorder prediction system with full pipeline + deployment (88% validation accuracy)
- Developed real-time sign language classification system using computer vision
- Created NLP-based mental health classification system (90% F1-score)
- Designed and experimented with Vision-Language Models (LLaMA 3.2 Vision) across 11 controlled experiments
- Published 3 research papers (including Scopus-indexed journal)
Tech Stack:
Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, SQL
Next.js, React, Node.js, FastAPI
Docker, AWS, Prometheus, Grafana
Why work with me:
- I understand both AI models and real-world system deployment
- I build scalable, clean, and production-ready solutions
- I communicate clearly and deliver fast
If you need someone who can turn AI ideas into real working systems, I’m ready to help.
Let’s build something impactful
Steps for completing your project
After purchasing the project, send requirements so Krisna can start the project.
Delivery time starts when Krisna receives requirements from you.
Krisna works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Understand your problem, dataset, and expected output.
Data Preparation
Clean, preprocess, and analyze the dataset for modeling.