About Me
Iām Akash Satpute, an AI/ML Engineer and Data Scientist with over 1 year of experience in Generative AI, RAG systems, LLM applications, and AWS services. I hold a Master of Science in Industrial Mathematics with Computer Applications (IMCA) from Savitribai Phule Pune University. I specialize in building production-grade AI pipelines using LangChain, LangGraph, Amazon Bedrock, Python, and SQL, translating complex data structures into high-value solutions. I also hold certifications as an AWS Certified AI Practitioner and an AWS Certified Data Engineer ā Associate.
Projects
Every project is a unique piece of development š§©
MedAI - AI Medical Assistant
A multi-agent AI system using LangGraph and MCP for medical query processing, featuring a real-time voice assistant and WebSocket-based streaming chat with persistent memory.
LangGraph
MCP
Amazon Bedrock
Flask-SocketIO
SQLite
Razorpay
Bank Customer Churn Prediction
A machine learning-powered Streamlit app built with TensorFlow, Keras, Pandas, and Scikit-learn that predicts customer churn based on profile data to reduce attrition.
TensorFlow
Keras
Streamlit
Pandas
Scikit-learn
Food Delivery Time Prediction And Route Optimization
I developed a machine learning model to accurately predict food delivery times and optimize delivery routes for increased efficiency. also implemented a scalable data pipeline using AWS services
ML
AWS
Customer Segmentation Using KMeans Clustering
Analyzed mall customer data to identify distinct segments based on age, annual income, and spending scores
EDA
ML
Online Course Registration Database using MySQL
Designed and Analyzed Online Course Registration Database using advanced SQL queires to help organizations make informed decisions.
MySQL
Experience
- Built production-grade Generative AI solutions using Amazon Bedrock for document intelligence and automated content generation.
- Improved extraction accuracy through validation, testing, and optimization for production-ready deployment.
- Implemented RAG-based workflows to enable querying of documents and data using natural language.
- Built scalable data pipelines using AWS services for document ingestion, processing, and storage, ensuring efficient and reliable data flow in production systems.
- Optimized LLM performance using prompt engineering, guardrails, and token optimization techniques to improve accuracy, safety, and cost efficiency.
- Built an NLP-to-SQL system enabling real-time querying of manufacturing data, improving query accessibility for non-technical users.
- Implemented dynamic graph visualization using Plotly, Streamlit, and PostgreSQL to present query results intuitively.
- Designed a deep learning pipeline (YOLO + Donut) for extracting structured data from engineering drawings.
- Trained on 12 feature categories (e.g., GD&T, Notes, Threads) using 7K+ image patches with augmentation for robustness.
- Achieved 94.3% F1-score in structured data extraction using deep learning models.
Skills
Technical Skills
Certifications
AWS Certified Data Engineer ā Associate
Credentials ID: DEA-C01 | Issued: Jan 2026
View Certificate
Education
Industrial Mathematics with Computer Applications. Master's degree focused on advanced mathematics, statistics, machine learning, and computer science applications.
Specialized certification program covering data management, SQL databases, and fundamental data science practices.
Undergraduate degree focusing on pure and applied mathematics, numerical analysis, and analytical thinking.
Contact
ab31satpute@gmail.com