Hi there! I’m Lalith Thomala, a data analyst who speaks fluent spreadsheets, SQL, and Python—and lately, I’ve been having fun fine-tuning OSS-20B with OpenAI, exploring just how far LLMs can go (spoiler: they still can’t make my coffee… yet). I love turning messy data into clear insights that make sense—and occasionally make people say, “Wow, I didn’t know that!” AI and LLMs are my playground for uncovering hidden patterns and helping teams make smarter, faster decisions. When I’m not crunching numbers or tinkering with models, you might find me exploring the latest tech on Product Hunt—because discovering the next big thing is half the fun. Whether it’s building dashboards, predicting trends, or experimenting with AI, I thrive on turning data into stories worth telling.
Machine learning model for predictive maintenance in industrial sensors. Implemented advanced anomaly detection algorithms to predict sensor failures before they occur, reducing downtime by 40%.
Built predictive models for sales forecasting with interactive visualization dashboard. Implemented time series analysis and machine learning models to predict future sales trends with 85% accuracy.
Comprehensive analysis of global pandemic trends and patterns using multiple data sources. Created interactive visualizations to track infection rates, vaccination progress, and policy impacts across different regions.
AI-powered prompt engineering platform for generating inspirational wall art. Leverages advanced natural language processing to create personalized, minimalist designs that inspire and motivate users in their daily environments.
AI-enhanced learning platform with personalized content recommendations. Uses machine learning algorithms to adapt to individual learning styles and provide customized educational experiences for optimal knowledge retention.
AI-driven overlay generation tool for creative content creators. Automatically generates professional-quality overlays and graphics using computer vision and generative AI technologies to enhance visual storytelling.
Microsoft breaks new ground with MAI-Voice-1, an advanced speech generation model capable of producing realistic audio in under a second while running efficiently on a single GPU. This breakthrough represents a significant step toward more accessible AI-powered voice applications.
OpenAI announces strategic partnership with semiconductor giant Broadcom to develop their first custom AI chip, expected to launch in 2026. This move signals OpenAI's commitment to reducing dependency on external hardware and optimizing performance for their AI models.
Salesforce CEO Marc Benioff reveals how AI agents now handle 50% of customer service interactions, enabling the company to reduce support staff from 9,000 to 5,000 while maintaining service quality and reconnecting with over 100 million previously neglected leads.
West Virginia University researchers develop groundbreaking AI models trained on low-tech ECG data to identify heart failure signs in rural Appalachian patients. The models outperform traditional systems and could revolutionize healthcare access in underserved communities.
China enforces sweeping new regulations requiring all AI-generated content to carry clear labels and digital watermarks. This landmark legislation sets a global precedent for AI transparency and aims to combat deepfake misuse across digital platforms.
Interested in collaborating or have questions about my work? Let's connect!