End-to-End AI & ML Solutions | Model Development & Optimization by Aniket Panchal

End-to-End AI & ML Solutions | Model Development & Optimization

Aniket Panchal

Contact for pricing

About this service

Summary

I offer end-to-end Machine Learning and AI solutions, specializing in custom model development and Generative AI. From data preprocessing and feature engineering to model training, optimization, and deployment, I ensure high-performance and scalable solutions tailored to your needs. With expertise in Natural Language Processing and Generative AI solutions, I deliver cutting-edge AI models that drive real-world impact. 🚀

Process

1️⃣ Business Understanding – Define project objectives, success criteria, and problem scope. 2️⃣ Data Understanding – Gather, explore, and analyze raw data for insights. 3️⃣ Data Preparation – Clean, preprocess, and engineer features for optimal model performance. 4️⃣ Modeling – Select appropriate ML/DL algorithms, train models, and fine-tune parameters. 5️⃣ Evaluation – Assess model performance using key metrics and validate against business goals. 6️⃣ Deployment – Integrate, deploy, and make the model production-ready (API, cloud, or local).

What's included

📌 Machine Learning Models
✔️ Custom ML models (Classification, Regression, Clustering, etc.) ✔️ Pre-trained or fine-tuned models (e.g., BERT, ResNet, VAEs, GANs) ✔️ Hyperparameter tuning for optimized performance ✔️ Model performance reports (Accuracy, Precision, Recall, F1-score, etc.)
📌 Data Processing & Feature Engineering
✔️ Data cleaning, preprocessing, and augmentation ✔️ Feature engineering and dimensionality reduction ✔️ Data visualization and Exploratory Data Analysis (EDA)
📌 Code & Documentation
✔️ Data cleaning, preprocessing, and augmentation ✔️ Feature engineering and dimensionality reduction ✔️ Data visualization and Exploratory Data Analysis (EDA)
📌 Free tier Model Deployment & Integration
✔️ Deployment-ready models (Flask, FastAPI, TensorFlow Serving) ✔️ Cloud-based deployment (AWS, GCP, Azure) ✔️ Integration with APIs for real-world applications

Example projects