A collection of AI/ML projects, open-source work, and technical experiments.
Highlighted projects showcasing key capabilities.
Traditional ad insertion systems couldn't optimize for viewer engagement in real-time, leading to poor ad performance and viewer churn.
Built an ML-powered decision engine that analyzes viewer behavior, content context, and advertiser goals to optimize ad placement in real-time.
Sales teams spent hours manually analyzing customer interactions to identify opportunities, missing critical signals in the noise.
Developed a transformer-based system that automatically extracts intent signals, sentiment, and opportunity scores from customer communications.
Business users needed to query complex databases without writing SQL, but existing solutions couldn't handle domain-specific terminology and complex joins.
Built a fine-tuned language model combined with a schema-aware retrieval system that translates natural language into accurate SQL queries with 94% accuracy on production workloads.
Machine learning and AI-focused projects.
Sales teams spent hours manually analyzing customer interactions to identify opportunities, missing critical signals in the noise.
Developed a transformer-based system that automatically extracts intent signals, sentiment, and opportunity scores from customer communications.
Business users needed to query complex databases without writing SQL, but existing solutions couldn't handle domain-specific terminology and complex joins.
Built a fine-tuned language model combined with a schema-aware retrieval system that translates natural language into accurate SQL queries with 94% accuracy on production workloads.