B.NARASIMHA

Generative AI Engineer

Hyderabad, IN.

About

Aspiring AI/ML Engineer with a strong foundation in generative models, deep learning, and Natural Language Processing, passionate about building intelligent solutions. Eager to contribute to impactful innovation within the banking and retail tech ecosystem at Diebold Nixdorf, leveraging expertise in Python, TensorFlow, PyTorch, and AI frameworks to drive real-world automation and digitization challenges.

Work

Confidential Company

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AI/ML Intern

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Summary

Contributed to a team project on anomaly detection in sensor streams and developed automated preprocessing pipelines, enhancing data handling efficiency.

Highlights

Contributed to a team project focused on anomaly detection in sensor streams, applying unsupervised learning techniques including Isolation Forest and AutoEncoders.

Developed automated preprocessing pipelines with Python and Spark, significantly improving the efficiency of cleaning large manufacturing logs.

Gained practical experience in deploying AI models and algorithms within a collaborative environment.

Confidential Company

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Software Developer Intern

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Summary

Built functional modules and REST APIs, gaining practical experience in CI/CD workflows and collaborative development practices.

Highlights

Built robust functional modules and REST APIs, ensuring adherence to project specifications and mentor guidance.

Actively participated in agile sprints and gained experience with CI/CD workflows, enhancing deployment efficiency.

Contributed to code quality through regular code reviews and managed version control using Git, fostering collaborative development.

Education

Madanapalle Institute of Technology & Science

Madanapalle, Andhra Pradesh, India
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Bachelor of Technology Computer Science & Engineering Grade: CGPA: 8.8

Government Polytechnic, Vempalli

Vempalli, Andhra Pradesh, India
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Diploma Computer Engineering Grade: CGPA: 9.1

Narayana E.M. School

India
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Class 10th Secondary Education Grade: CGPA: 9.7

Certificates

Cloud Engineering

Google Cloud

Azure Data Engineering

Microsoft

Data Analytics

Google

Skills

Languages

Python, Bash, C, Java.

Machine Learning

Scikit-learn, Pandas, Numpy, SVM, Decision Trees.

Deep Learning

TensorFlow, Keras, PyTorch, CNN, Autoencoders, DenseNet.

NLP & Generative AI

Text Preprocessing, Tokenization, Transformers, OpenAI Codex, Natural Language Processing, Natural Language Understanding.

AI Tools

Hugging Face Transformers, LangChain, OpenCV, Matplotlib.

Data Handling

Pandas, Excel Automation, Google Sheets API, Data Processing.

Visualization

Matplotlib, Seaborn, Plotly.

Development

Git, GitHub, Jupyter, VS Code.

Cloud & Deployment

Google Colab, AWS (EC2), Flask (API), AI Deployment, Real-Time Model Integration.

Interests

Natural Language Processing

Automation, Natural Language Understanding.

AI Deployment

Real-Time Model Integration.

Industry Innovation

Retail Tech, Banking Tech, AI.

Generative AI

Transformer Models.

Deep Learning

Computer Vision.

Projects

AI-Powered RCA Assistant

Summary

Developed an AI-powered assistant to automate root cause analysis for error logs.

Data Quality Validator – Spreadsheet Automation

Summary

Automated data import, validation, and quality flagging for large operational logs.

Hospital Management System

Summary

Designed and developed a comprehensive full-stack hospital management system.

Email Spam Detection

Summary

Developed a machine learning model for accurately detecting spam emails.

Video Anomaly Detection System

Summary

Developed a deep learning-based system for real-time video anomaly detection.