Hello, I'm
Building intelligent systems with Machine Learning, Generative AI & Automation
I'm a Data Scientist passionate about turning complex data challenges into elegant, impactful solutions. With a strong foundation in Machine Learning, NLP, and Generative AI, I specialize in building intelligent systems that automate workflows, extract insights, and drive real business value.
From orchestrating multi-agent AI systems at Deloitte to building automation pipelines that saved 3000+ man-hours/year at Network18, I bring a results-first approach to every problem I tackle. I believe the best data science isn't just technically sound — it's deployed, adopted, and making an impact.
When I'm not building AI tools, you'll find me writing about data science, exploring new LLM capabilities, or thinking about how to make complex systems more accessible.
Technologies and tools I use to build intelligent solutions
Types of intelligent systems and solutions I architect & deliver
Orchestrating autonomous LLM agents that analyze intent, delegate tasks, and compose responses in real-time — reducing response times from days to seconds.
End-to-end data pipelines that scrape, process, analyze, and report — eliminating manual intervention across departments with zero downtime.
Leveraging LLMs to analyze transcripts, identify high-engagement segments, and auto-generate clips — turning hours of manual editing into minutes.
Building conversational AI that chats with your documents, PDFs, and presentations — providing instant answers grounded in your proprietary data.
Real-time pipelines that scrape, extract entities, cluster topics, and surface market trends from hundreds of daily articles using transformer models.
Image classification models for industrial quality control — automatically detecting defects and anomalies with high accuracy, replacing tedious manual inspection.
Building multi-agent AI orchestration systems on Vertex AI using Google ADK and Gemini. Developing intelligent chatbots powered by RAG for enterprise knowledge discovery.
Built market intelligence tools, NLP-powered trend detection engines, AI video repurposing solutions, and automation pipelines that saved 3000+ man-hours annually. Delivered end-to-end data products using LLMs, scraping, and cloud infrastructure.
Specialized in Artificial Intelligence and Data Science, building a strong foundation in ML algorithms, deep learning, and applied AI.
Developed computer vision models for industrial quality control (~91% accuracy), automated field reporting workflows with Google Data Studio, and led infrastructure projects spanning surveys to construction.
Built the engineering fundamentals that fuel my systematic approach to solving data science problems.
Thoughts on Data Science, AI, and building intelligent systems
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