Harish Bodduna

• Spearheaded the creation of the MERIDIAN AI operations platform, advancing predictive fault intelligence for vital submarine infrastructure.
• Optimized the integration of varied data sources, such as PDFs, CAD drawings, marine charts, and regulatory permits, enhancing data accessibility.
• Deployed multi-agent orchestration to automate workflows, leading to a substantial decrease in error rates and an elevation in data precision.
• Realized an impressive 70-80% reduction in manual search and triage time, transforming lengthy 3-6 week cycles into efficient processes.
• Drove innovation in AI architecture, fostering a collaborative environment to push the boundaries of predictive analytics and operational excellence.

• Led the design and implementation of an advanced OCR-based invoice processing system, leveraging Tesseract and SpaCy to maximize data extraction efficiency.
• Developed and optimized structured field extraction (customer address, invoice number, amount) into JSON format, significantly improving data integration with regional SAP servers through REST API.
• Enhanced data persistence strategies in SQL databases, increasing accessibility for global payments teams and boosting operational efficiency across the organization.
• Guided a cross-functional team in training neural networks, fostering a culture of innovation and continuous improvement in AI solutions.
• Championed best practices in AI architecture, ensuring scalable and robust solutions aligned with business objectives.

• Architected and optimized robust Azure data pipelines utilizing Data Factory and Logic Apps, enhancing e-commerce data integration for scalability and performance.
• Integrated and consolidated diverse data sources, elevating reporting capabilities with a cohesive Power BI framework for actionable insights.
• Engineered a cutting-edge Siamese LSTM/BERT model, achieving a substantial increase in product matching accuracy across multiple retailers, driving superior financial analysis.
• Developed and fine-tuned a SoftMax-based market share model, specifically designed for targeted product groups, to inform strategic decision-making.
• Spearheaded initiatives to leverage AI and machine learning solutions, positioning the organization at the forefront of data-driven innovation.

• Led the design and implementation of an advanced web-based dashboard for HR managers, significantly improving the visualization of employee data and cognitive profiles through immersive virtual reality gaming applications.
• Developed a pioneering AI solution utilizing advanced Machine Learning methodologies, including Computer Vision and Natural Language Processing, to generate impactful insights and enhance decision-making processes.
• Executed comprehensive experimentation with ensemble learning techniques, focusing on tree-based models, to refine predictive accuracy and drive performance improvements.
• Collaborated with cross-functional teams to align AI strategies with business objectives, ensuring scalable and sustainable AI architecture.
• Mentored junior data scientists, fostering a culture of innovation and continuous learning within the AI domain.

• Spearheaded the development of an innovative NLP pipeline, automating telecom billing exception categorization and minimizing revenue leakage.
• Leveraged advanced methodologies including LDA topic modeling, Bag-of-Words (DTM), and GloVe embeddings to significantly boost classification precision.
• Engineered a sophisticated 2-layer Dense Neural Network classifier, demonstrating cutting-edge NLP applications in telecom billing prior to the advent of transformer models.
• Played a key role in the design and implementation of scalable AI solutions, aligning with industry best practices to enhance operational efficiency and data-driven decision-making.
• Actively collaborated with cross-functional teams to drive AI initiatives, ensuring alignment with business objectives and fostering a culture of innovation.