Ashwin Nitnaware

Founder & AI Product Engineer

• Researching and applying deep learning, ensemble learning, and predictive modeling algorithms as core features of AI-powered software products; designing autonomous AI agent systems with agentic architectures and tool-use frameworks.
• Conducting systematic research on emerging ML algorithms and techniques using experimental design and model benchmarking; building scalable AI model-serving infrastructure on GCP.
• Building and scaling a product-based AI product from the ground up, overseeing the complete product lifecycle from ideation and market research to design, development, and launch.
• Defining product vision and roadmap, making core architectural and technology decisions, and driving the end-to-end execution of multiple software products simultaneously.
• Managing all company operations including business strategy, product positioning, branding, financial planning, and vendor relationships as a solo founder.
• Designing and engineering full-stack enterprise software products independently, owning everything from system architecture and database design to frontend development and cloud deployment.
• Identifying market opportunities, shaping product-market fit, and continuously iterating on products based on user feedback and competitive landscape.

Oakland University

Data Analytics Research Assistant

• Designing and executing NLP workflows on textual data using Python libraries to extract patterns and drive statistical analysis.
• Performing preprocessing, tokenization, and entity recognition using NLTK/SpaCy to support linguistic analysis and data modeling tasks.
• Applying regression and hypothesis testing in R and SPSS to evaluate variables and validate academic research hypotheses.
• Building sentiment analysis and classification models on unstructured datasets to uncover behavioral insights and language-based predictors.
• Developing dashboards and charts to visualize trends, support academic publications, and communicate findings to faculty and research collaborators.
• Maintaining clean, version-controlled research code using Git, ensuring reproducibility, traceability, and collaborative workflow across research updates.