Building end-to-end AI systems — RAG pipelines, LangGraph multi-agent orchestration, and production ML APIs that solve real business problems.
AI/ML Engineer · GenAI Application Developer
I design, build, and deploy GenAI systems that turn domain knowledge into reliable, production-ready decision support.
With an MSc in Data Science & Business Analytics, I combine SQL, Python, ETL workflows, and business-facing analytics to design reliable data products, and ship GenAI + ML systems that deliver measurable outcomes.
Looking for an AI/ML Engineer who ships production systems?
BluBrick Realty
GenAI and production ML systems built for real business outcomes
End-to-end ML pipeline with systematic model selection across 4 algorithms (Gradient Boosting, Random Forest, SVR, Linear Regression), feature engineering, and hyperparameter tuning — achieving R² = 0.884. Deployed as a live FastAPI-backed Streamlit application with real-time inference and business recommendations. Demonstrates full MLOps cycle: train → evaluate → deploy.
Production GenAI system with a dual-source news ingestion pipeline (NewsAPI + NewsData.io), VADER + transformer-based sentiment scoring across 5 market sectors, and a LangChain-orchestrated AI Analyst agent (Llama 3 via Groq) that answers natural language queries backed by live headlines. Processes 98+ articles daily with sub-second inference.
End-to-end analysis of e-commerce performance from 2023-2025, including revenue drivers, profitability by category, and seasonality trends. Explore the repository.
Power BI analysis of churn behavior to identify key drivers and prioritize actionable retention strategies for business teams. Explore the repository.
End-to-end SQL + Power BI ETL and dashboarding pipeline for campaign analytics, enabling reusable reporting logic for stakeholder decision-making. Explore the repository.
Interested in more?
📂 Explore All Projects on GitHub →Open to AI/ML Engineer, GenAI Developer, and Data Scientist roles — Mumbai, Navi Mumbai, Thane, and remote.
Typical response time: within 24 hours