HELLO, I'M
Building intelligent systems with LLMs · RAG · Applied AI
I'm an AI/ML Engineer focused on building end-to-end intelligent systems using machine learning and large language models. I enjoy solving real-world problems through data processing, ML pipelines, retrieval systems, and deployment-ready AI applications.
My experience includes building Retrieval-Augmented Generation (RAG) systems, multimodal AI applications combining computer vision and NLP, and scalable machine learning workflows using Python and modern AI frameworks. I’m particularly interested in practical AI systems that are reliable, efficient, and impactful in real-world environments.
AlmaBetter
AlmaBetter
Rajdhani College, University of Delhi
2019 – 2022
Completed undergraduate degree at an early academic stage, reflecting strong learning discipline
GenAI
Multimodal AI that detects facial emotions and generates a contextual story — giving feelings a voice.
GenAI
Router-driven multi-agent AI system for finance, documents, SQL, and conversational intelligence.
MLOps
End-to-end MLOps pipeline for time series prediction with automated retraining and REST API deployment.
GenAI
Generative AI assistant with agentic RAG, SQL querying, and automation for financial insights.
ML
Predictive model for insurance cross-sell using advanced resampling and ensemble techniques.
NLP
Semantic resume-to-job matching and automated application generation using LLMs.
ML
Content-based recommendation engine using book descriptions and user preferences.
SQL
Predictive model for flight prices with SQL-based data analysis and feature engineering.
BI
Interactive dashboards for customer segmentation, loan performance, and revenue analysis.