Santhi Raju Peddapati

Aspiring AI & Data Engineer

Vijayawada, IN.

About

Aspiring AI & Data Engineer (2026 pass-out) with a robust foundation in Python, Machine Learning, and cloud platforms (AWS, GCP). Proven ability to develop and deploy scalable AI-driven solutions, including health AI, fraud detection, and agentic workflows. Eager to leverage expertise in end-to-end solution delivery and MLOps practices to drive innovation and impact in data-intensive environments.

Work

Unified Mentor

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Machine Learning Intern

Vijayawada, AP, India

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Summary

Led the development and deployment of classification and NLP-based sentiment models, achieving outstanding performance and recognition.

Highlights

Built classification and NLP-based sentiment models using Scikit-learn, enhancing data analysis capabilities and model accuracy.

Deployed machine learning solutions efficiently on AWS, ensuring operational scalability and robust performance.

Received a Letter of Recommendation for outstanding performance and significant contributions during the internship.

Bluestocks

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Cloud Intern

Vijayawada, AP, India

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Summary

Gained practical experience in deploying applications on cloud environments and implementing CI/CD pipelines.

Highlights

Successfully deployed applications across major cloud environments (AWS & GCP), ensuring robust infrastructure and availability.

Gained practical exposure to cloud-based automation, streamlining deployment processes and resource management.

Implemented CI/CD pipelines, enhancing development efficiency and accelerating release cycles.

Bluestocks

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Software Development Intern

Vijayawada, AP, India

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Summary

Developed software modules using Python and MySQL, contributing to the creation of full-stack applications.

Highlights

Developed core software modules utilizing Python and MySQL, contributing to enhanced application functionality.

Collaborated effectively in building full-stack applications, ensuring comprehensive software solutions.

Contributed to the development lifecycle, focusing on efficient code delivery and database interactions.

BlackBucks

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AI/ML Intern

Vijayawada, AP, India

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Summary

Designed and deployed robust fraud detection pipelines, processing large-scale financial data and contributing to MLOps best practices.

Highlights

Designed and deployed fraud detection pipelines leveraging Python and ML models, improving security protocols and transaction integrity.

Processed large-scale financial datasets and generated comprehensive anomaly detection reports, providing critical insights.

Contributed to MLOps practices, enhancing the scalable deployment and management of machine learning models.

Education

Andhra Loyola Institute of Engineering & Technology

Vijayawada, AP, India
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Bachelor of Technology (B.Tech) Computer Science (AI & ML) Grade: CGPA: 8.0/10

Courses

Artificial Intelligence

Machine Learning

Data Science

Cloud Computing

Python Programming

Natural Language Processing

Computer Vision

PSCMR College of Engineering & Technology

Vijayawada, AP, India
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Diploma Mechanical Engineering Grade: 80.2%

Skills

Programming Languages

Python, SQL.

Machine Learning

Scikit-learn, TensorFlow, Keras, Hugging Face, NLP, Computer Vision, Anomaly Detection, Sentiment Analysis, Prediction Models.

Cloud Platforms

AWS, GCP, Cloud Deployment, Cloud Automation.

Databases

MySQL, MongoDB.

Tools & Technologies

GitHub, Docker, LangGraph, Streamlit, OpenCV, NumPy, Pandas, CI/CD Pipelines, MLOps.

Software Development

Software Development, Data Analytics, Full-stack Applications.

Projects

Health AI Project

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Summary

Developed AI-driven models to extract medical insights and analyze patient data, implementing prediction models for healthcare outcomes.

Fraud Transaction Detection System

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Summary

Built and engineered ML pipelines for anomaly detection in financial transactions, deploying solutions with Docker on GCP.

Agentic Workflow Automation

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Summary

Implemented a LangGraph-based workflow for AI task planning and execution, integrating real-time math computation and AI news scraping with Streamlit.

Sign Language Detection

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Summary

Developed a CNN-based system using OpenCV and TensorFlow to recognize ASL signs, enabling real-time gesture recognition for accessibility.

Languages

English

Certificates

AI/ML Certification

Various Institutions

NLP Certification

Various Institutions

Deep Learning Certification

Various Institutions

Awards

Letter of Recommendation for Outstanding ML Internship Performance

Unified Mentor

Recognized for exceptional contributions and high-impact performance during the Machine Learning internship.