AI-Powered RCA Assistant
Summary
Developed an AI-powered assistant to automate root cause analysis for error logs.
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
|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
|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
Issued By
Google Cloud
Azure Data Engineering
Issued By
Microsoft
Data Analytics
Issued By
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
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.