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.
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.
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.
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.
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.
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.
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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
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Diploma
Mechanical Engineering
Grade: 80.2%
Python, SQL.
Scikit-learn, TensorFlow, Keras, Hugging Face, NLP, Computer Vision, Anomaly Detection, Sentiment Analysis, Prediction Models.
AWS, GCP, Cloud Deployment, Cloud Automation.
MySQL, MongoDB.
GitHub, Docker, LangGraph, Streamlit, OpenCV, NumPy, Pandas, CI/CD Pipelines, MLOps.
Software Development, Data Analytics, Full-stack Applications.
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Summary
Developed AI-driven models to extract medical insights and analyze patient data, implementing prediction models for healthcare outcomes.
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Summary
Built and engineered ML pipelines for anomaly detection in financial transactions, deploying solutions with Docker on GCP.
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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.
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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.
Issued By
Various Institutions
Issued By
Various Institutions
Issued By
Various Institutions
Awarded By
Unified Mentor
Recognized for exceptional contributions and high-impact performance during the Machine Learning internship.