Turning data into decisions
AI Engineer— MLOps · LLM · Cloud
Aspiring AI Engineer exploring the full stack of modern AI — from model training and experiment tracking to cloud deployment and MLOps. Driven by curiosity, built on hands-on experience.
“I'm not just learning AI — I'm building with it.”
As an emerging AI Engineer, I bridge the gap between experimentation and production. From designing ML pipelines to building LLM-powered applications and deploying cloud-ready APIs, I focus on making AI systems that are practical and scalable. My work spans Machine Learning, Deep Learning, MLOps, Cloud Computing, and LLMs — and I enjoy every layer of the stack.
I stay driven by curiosity, constantly learning from new research and real projects to sharpen my craft.
Diploma in Information Technology
Maharaja Sayajirao University of Baroda · 2020-2023
Bachelor of Technology — Computer Engineering
Silver Oak University · 2024-2027
MLOps
Designed and built a full MLOps pipeline from data ingestion to model serving — automating data validation, feature engineering, multi-model training, and experiment tracking across a containerized microservices architecture.
Learning Management System
Full-stack Learning Management System with AI-powered quiz generation and a private study assistant, built with Flask, PostgreSQL, and Llama 3.2.
Exploring gradient boosting fundamentals and how to apply XGBoost to real-world classification problems with proper validation strategies.
A step-by-step guide to deploying machine learning models as scalable REST APIs using FastAPI, Pydantic, and Docker.
How to design maintainable, testable data transformation pipelines using dbt for analytics engineering and Airflow for orchestration.
Axisray pvt ltd
Axisray pvt ltd