Building Scalable AI Systems That Turn Data Into Business Value
I design and deploy intelligent systems using LLMs, NLP, and Machine Learning to automate workflows, enhance decision-making, and drive measurable impact.
What you actually get when you ship AI.
Automate repetitive workflows
Chatbots, RAG assistants, and agentic pipelines that take hours of manual work off your team's plate.
Smarter decision-making
Predictive models that turn historical data into forward-looking insight your operators can trust.
Lower operational cost
Intelligent automation that scales without scaling headcount — measurable cost-to-serve reduction.
Better user experience
Conversational AI and personalization that drive retention, conversion, and customer satisfaction.
Raw data, real insight
Pipelines and analytics that surface what matters, so business decisions stop being guesswork.
Technical work, translated into outcomes.
Numbers from real systems shipped to production - not benchmarks on toy datasets.
Cut job application time using LLM-based automation on the Jobilot platform.
Improved NLP system accuracy with advanced retrieval and fine-tuning techniques.
Reduced inference latency through optimized model serving and deployment.
Case studies: problem, system, impact.
Each project is framed the way a business should evaluate it - what hurt, what I built, what changed.
Jobilot — AI Job Automation Platform
LLM-powered job search and resume tailoring at scale.
Enterprise RAG Knowledge Assistant
Grounded, citation-backed answers over private corpora.
Prognex — Industrial Failure Prediction
Anomaly detection for predictive maintenance.
Hotel Cancellation Prediction
Revenue protection through predictive analytics.
EstateIQ — Real Estate Price Prediction
Data-driven property valuation.
Food Delivery Time Prediction
ETAs that customers actually trust.
Skills grouped by what they actually unlock.
AI & NLP Systems
Production LLM workflows: RAG, agents, fine-tuning, evals.
Machine Learning
Classical and deep models for prediction, ranking, and detection.
MLOps & Deployment
Ship models as reliable services - not notebooks.
Data & Analytics
Pipelines and analysis that make data usable.
A force-multiplier on your AI roadmap.
Production-ready, not just experiments
I ship AI that runs reliably under real load - with monitoring, evals, and rollback paths.
Outcome-driven engineering
Every system I build is tied to a measurable business metric: cost, speed, accuracy, or revenue.
Speaks both languages
I translate between business goals and technical tradeoffs so stakeholders aren't guessing.
Idea to deployment, end-to-end
Data pipelines, modeling, APIs, infra, and frontend integration - I own the whole path.