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English
$
USD
I will develop ai, machine learning, nlp and llm solutions
Machine Learning Engineer Junior
I am a Machine Learning Engineer (Junior) specializing in end-to-end ML/DL systems: preprocessing, training, evaluation, and deployment. I have experience in data pipelines, anomaly detection, and rea...
About this Gig
I help businesses turn raw data and ideas into reliable AI, machine learning, and NLP solutions.
I build structured, scalable systems adapted to your goals, from data preparation and predictive models to RAG pipelines and LLM-powered applications.
Services ==>
AI & LLM Applications ->
RAG pipelines and document assistants
LLM integrations with LangChain
AI chatbots and semantic search
Embeddings, text classification, and automatic caption generation
Prompt, context management, guardrails, and validation
FastAPI backend integration for AI systems
Data Science & Machine Learning ->
Data cleaning & preprocessing
Exploratory Data Analysis
Predictive modeling (classification/regression)
Clustering and anomaly detection
Feature engineering and preprocessing pipelines
Data & Workflow Automation ->
Structured data pipelines
Reproducible ML workflows
Automated preprocessing tasks
Dataset preparation for AI projects
Tools ->
LLM, Langchain, Pinecone, FastAPI, PostgreSQL, Python lib (pandas, NumPy, scikit-learn, matplotlib, seaborn, Keras), Notebook, GitHub, Docker, and cloud services.
Please contact me before ordering to define the scope, data, deliverables, and requirements.
Programming language:
Python
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
MLflow
My Portfolio
FAQ
What information do you need before starting?
Please provide your project objective, available data or documents, expected output, preferred technologies, and any deployment requirements. Clear requirements help me recommend the right package and define a realistic scope.
Do you handle messy or incomplete datasets?
Yes. Basic preprocessing includes missing-value handling, duplicate removal, data-type corrections, and standard transformations. Highly inconsistent, unstructured, or large datasets may require additional cleaning and a custom quote.
What types of AI and machine learning solutions do you build?
I build classification, regression, clustering, anomaly detection, NLP, semantic search, embeddings, RAG pipelines, document assistants, AI chatbots, and LLM-powered applications based on your objective and data.
Can you build a RAG chatbot using my documents?
Yes. I can build RAG systems that process your documents, generate embeddings, retrieve relevant information, and produce context-aware answers. Source citations, guardrails, and response validation can also be included.
Do you guarantee a specific model accuracy?
No fixed accuracy can be guaranteed before evaluating the data. Performance depends on data quality, sample size, target definition, and task complexity. I define suitable metrics, build a baseline, and optimize the solution within the agreed scope.
Will I receive the source code and documentation?
Yes. All packages include the source code and documentation appropriate to the project scope. More detailed technical documentation, setup instructions, and API usage guidance are included in the higher-tier packages.
Can you improve or integrate an existing AI or ML project?
Yes. I can review, optimize, or extend an existing Python, machine learning, RAG, or FastAPI project. Please contact me first so I can assess the current codebase and define the required work.
