You will get ai/ml, rag, train ai models, llm, chatgpt, ai chatbot, ai agent solution.
Project details
I am an AI/ML Engineer specializing in building intelligent, scalable, and production-ready AI solutions using modern machine learning and Generative AI technologies.
I develop advanced AI systems such as ChatGPT-based applications, AI chatbots, RAG systems (chat with PDF, documents, or website data), and AI automation tools that help businesses improve efficiency, reduce manual work, and enhance customer experience.
My focus is on combining Machine Learning, Deep Learning, and Generative AI to create real-world solutions that solve business problems effectively.
I develop advanced AI systems such as ChatGPT-based applications, AI chatbots, RAG systems (chat with PDF, documents, or website data), and AI automation tools that help businesses improve efficiency, reduce manual work, and enhance customer experience.
My focus is on combining Machine Learning, Deep Learning, and Generative AI to create real-world solutions that solve business problems effectively.
Machine Learning Tools
Google Sheets, GPT-3, Keras, MLflow, NumPy, OpenCV, pandas, Python, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 0 | 3 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$20
Additional Graph/Chart
(+ 1 Day)
+$15
Model Validation/Testing
(+ 2 Days)
+$40
Model Documentation
(+ 2 Days)
+$30Frequently asked questions
About Towhid
AI/ML Engineer | Gen AI Engineer| NLP | Rag Pipeline | LLM | AI Agent
Chattogram, Bangladesh - 5:39 pm local time
Generative AI Engineer with a solid ML/DL foundation. Expert in architecting agentic workflows and RAG pipelines using LangChain and FastAPI. Focused on mitigating hallucinations, optimizing retrieval, and deploying scalable, low-latency AI solutions via Docker and cloud platforms. Proven ability to ship production-grade systems independently — purpose-built for high-velocity, remote-first teams.
Technical Skills:
Programming Languages & Data: Python (Expert), Java (Data Structures & Algorithms), PostgreSQL
Machine Learning & Deep Learning: Supervised & Unsupervised Learning, EDA, Data Preprocessing, Feature Engineering, Random Forest, TensorFlow, Scikit-learn, CNN, RNN/LSTM, Model Evaluation
NLP & Generative AI: LLMs, Prompt Engineering, RAG Pipelines, Vector Databases (FAISS, ChromaDB, Weaviate), Sentence Transformers, Cross-Encoder Re-ranking, LangChain, LLaMA, HuggingFace, BERT, Transformers, Multi-Agent Systems, AI Agents.
MLOps & Deployment: MLflow, DVC, DagsHub, Docker, FastAPI, Streamlit, REST APIs, CI/CD, Render, Railway.
Software Engineering: 400+ DSA problems solved, Object-Oriented Programming (OOP), System Design
Developer Tools: Pandas, NumPy, Next.js, GitHub, Claude, GitHub Copilot, Cursor AI, Groq API, Hugging Face Hub
Steps for completing your project
After purchasing the project, send requirements so Towhid can start the project.
Delivery time starts when Towhid receives requirements from you.
Towhid works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
I will carefully review your requirements and understand your business needs, including the type of AI solution you want (chatbot, RAG system, ML model, or automation tool)