Experience and Expertise in Technical Stack & AI

Currently serving as a Data Scientist, applying AI and machine learning techniques to solve complex business problems in the commercial vehicle industry.

Developed and applied AI and machine learning techniques to solve complex business problems in the commercial vehicle industry.

Developed internal chatbots for FAQ systems and built a product similar to Notebook LM specifically for the financial domain.

• Created a specialized pipeline to extract financial tables from documents in various formats from different countries.
• Designed and implemented a podcast generator tool for the company as a commercial product.
• Focused on accurate data extraction from complex financial documents to improve information accessibility.

Leveraged cutting-edge AI technologies to develop efficient data analysis and generation solutions.

• Led a Stanford University-funded research project on automating GitHub issue resolution, developing both agent-based (React) and agentless approaches aimed at surpassing SWE-Agent's established benchmarks on the SWE-Bench dataset
• Built an automated sales analysis report generation pipeline that reduced manual analysis time from hours to minutes (3-4 minutes).
• Customized Stable Diffusion AI models for targeted image generation using LoRA fine-tuning techniques, leveraging ComfyUI, Kohya, and also AutoTrain for DreamBooth training implementation.
• Developed domain-specific news article generation through advanced model fine-tuning, enhancing the relevance and accuracy of generated content.
• Created and published a dedicated public PyPI package designed specifically for AWS environments, facilitating seamless integration and deployment of AI solutions.