Kishankumar
Sureshkumar

Content creators and marketers rely on multiple disconnected tools for writing, editing, summarization, and optimization, leading to inefficient workflows, time loss, and inconsistent output quality.

Built a unified AI-powered dashboard that automates content creation, rewriting, summarization, and optimization using large language models and workflow automation, significantly improving productivity and consistency.

Patients often struggle to access quick, reliable preliminary medical guidance and accurate medicine information, especially for common symptoms, leading to delayed care and misinformation.

Developed a context-aware RAG-based chatbot using semantic similarity search on a medical dataset with optimized embeddings and ChromaDB, delivering accurate, scalable, and instant health assistance.

Individuals struggle to manage personal finances due to scattered expense tracking, lack of actionable insights, and absence of intelligent tools for budgeting and financial planning.

Developed a full-stack AI-driven finance dashboard that automates expense tracking, budget monitoring, financial goal management, and generates intelligent insights using data analytics and AI recommendations.

Machine learning projects often lack sufficient high-quality data due to privacy restrictions, expensive collection processes, imbalanced datasets, and limited labeled training data, which reduces model performance and scalability.

Developed an automated synthetic data generation pipeline that creates realistic artificial datasets mimicking real-world patterns, improving data availability, privacy preservation, dataset balance, and enabling efficient experimentation for AI model development.