I design and build AI systems that solve complex problems and create real impact.
I'm an AI Engineer specializing in Agentic AI, Generative AI and LLM workflows. I enjoy building end-to-end systems — from data pipelines and model training to orchestration, evaluation and deployment. My focus is creating scalable, reliable and impactful AI solutions, backed by a strong foundation in machine learning and big-data technologies.
A full-stack AI toolkit, from agents to infra.
Agentic AI & LLM Workflows
LangChain agents, LLM-assisted auditing, counterfactual reasoning and natural-language Q&A over ML experiments.
Automated ML
End-to-end AutoML: preprocessing, feature engineering, tuning and interpretability.
Generative AI
Prompt engineering, structured output and abstract generation from LLM backends.
Python & Data
Clean, production Python and high-performance data microservices.
Data Engineering
SQL analysis, EDA and large-scale processing with Apache Spark and Hadoop.
MLOps & Deploy
Containerized, reproducible model delivery with FastAPI, Docker & MLflow.
Systems that think, act, and ship.
MetaAI — Automated ML Pipeline Platform
A production-grade AutoML platform with a unified 8-module pipeline — from CSV ingestion and MICE imputation to Optuna tuning, SHAP explainability, fairness auditing and one-click FastAPI export. Adds LLM agentic auditing for post-mortems and NL Q&A. Published in IRJET (IF 8.315).
Recommender System — MovieLens
Built and evaluated recommender systems on the MovieLens dataset (100K ratings, 9K movies) — popularity, user-user collaborative filtering and matrix factorization — via a modular pipeline. Matrix factorization gave the best RMSE, Recall@K and NDCG@K.
Flight Cancellation Prediction
Predicted flight cancellations end-to-end: cleaning, outlier removal and encoding, EDA to surface weather/delay/time trends, then Logistic Regression, Decision Tree, Random Forest and SVM classifiers benchmarked head to head.
Data Analyst Intern
Extracted and analyzed datasets using SQL to generate key healthcare and operational insights, presented data-driven reports to leadership, and trained team members on data analysis best practices.
B.Tech — CSE (AI & Data Science)
Coursework and projects spanning machine learning, big-data technologies (Spark, Hadoop), agentic AI systems, and automated machine learning pipelines.