Professional Profile - All About Me
I am a Software Engineer with 4 years of experience specializing in AI/ML, Cloud Computing (Azure, AWS), and innovative software solutions. With a Master's in Computer Science from the University of Cincinnati, I've developed expertise in creating scalable AI applications, implementing RAG systems, and optimizing cloud infrastructure.
Professionally, I've contributed to AI teams at companies like Siemens Digital Industries Software, where I designed and built scalable AI solutions leveraging Generative AI and cloud technologies. I have expertise in machine learning pipelines, deep learning models, and natural language processing techniques. My technical skills include Python, C++, Java, SQL, Postgres, and frameworks like LangChain, LlamaIndex, and various cloud platforms including AWS (Amazon Bedrock, SageMaker) and Azure (Cosmos DB, AI Search).
As an AI Engineer with strong software development foundations, I excel at bridging the gap between cutting-edge AI research and practical business applications. I'm passionate about solving complex problems through AI innovation, and I welcome opportunities to collaborate on projects involving machine learning, cloud architecture, and software development.
• Working in R&D on the Calibre product.
• Designed and deployed scalable AI solutions using Generative AI, Azure, and Python to solve business problems.
• Revamped the AI Use Case Tracker and built a text-to-speech tool, reducing manual effort by 40%.
• Optimized Azure resources, cutting monthly cloud costs by 40% (~$2,000 savings).
• Automated workflows using Power Automate and scripting, improving operational efficiency.
• Developed critical features for Siemens Artis systems using C++, C#, and Linux, enhancing performance and compliance.
• Designed a Backup & Restore module with Acronis APIs, improving disaster recovery readiness.
• Increased automated test coverage to 80%, accelerating release cycles and reducing defects.
• Collaborated in a SAFe Agile team, earning the "Top Performer of ARTIS SER" award.
• Designed and maintained software tools for diagnostics and system configuration in Jaguar Land Rover vehicles, using C++, C#, .NET, and SQL on Linux. Supported production rollouts and service center operations across global markets.
• Built predictive maintenance models using vehicle telemetry data by developing ML prototypes in Python with scikit-learn, leveraging historical failure records for validation.
• Integrated ML-driven insights into internal dashboards and diagnostic tools to improve root-cause analysis and enable proactive service interventions.
Related Courses: Machine Learning, Deep Learning, Artificial Intelligent, Computer Vision, NLP, Cloud Computing, Algorithms, Database Management Systems, Data Analytics
Related Courses: Programming, Software Engineering, OOPs, Data Structures and Algorithms, Computational Mathematics
See My Work - Projects
This Personal Assistant Chatbot project leverages Streamlit, OpenAI's GPT-4, AWS and various APIs to provide an intelligent conversational assistant. Key features include document processing, web search, weather updates, and the implementation of Retrieval-Augmented Generation (RAG) for enhanced response accuracy and relevance.
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Face Mask Detection is a computer vision project utilizing deep learning to automatically identify whether individuals are wearing face masks in images or videos. Built primarily with Jupyter Notebook and Python, it features data preprocessing, model training, and real-time detection capabilities, making it ideal for health and safety monitoring.
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This project uses machine learning to predict liver disease from clinical data. Key features include data preprocessing, visualization, and multiple ML models for accurate predictions. Built with Python and ready for healthcare analytics and research applications.
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Implementation of a Database System in C, featuring core components such as query parsing, indexing, transaction management, and data storage. This project demonstrates foundational database principles and efficient data operations for educational and practical purposes.
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Cincinnati, OH, USA
+1 (513)-250-9969
perlasaicharanreddy@gmail.com