Kruti Mehta

Built automated financial reporting pipelines using Python and SQL, streamlining compliance workflows and reducing reporting cycles by 40%; Developed an AI-powered reporting assistant using open-source LLMs to generate financial summaries and anomaly insights, reducing manual oversight by 60%; Designed a multi-tenant financial data processing framework with validation, checkpointing, and audit logging, enabling secure, high-volume transactional processing; Integrated DocuSign APIs to automate secure e-signature workflows, reducing approval turnaround time; Collaborated with Finance, Operations, and IT teams to ensure GAAP and SEC compliance across reporting systems.

Built a large-scale news aggregation platform in Python, processing 50K+ articles weekly via REST APIs and web scraping pipelines; Implemented NLP pipelines for sentiment analysis, classification, and keyword extraction to analyze unstructured data; Fine-tuned and integrated open-source LLMs (Hugging Face) for article summarization and trend extraction using prompt engineering; Developed a responsive web interface with advanced search and filtering, reducing manual analysis effort by 40%; Designed modular backend APIs to support future integrations and scalable analytics workloads.

Developed reusable middleware components to enable rapid IoT application configuration; Built real-time dashboard widgets for device data visualization and monitoring; Optimized backend services using Java and SQL, improving platform performance by 25%; Collaborated with microservices teams to support scalable backend integrations.