About Me

Data/AI Engineer & AI Enthusiast

I am a Data/AI Engineer contributing to initiatives at Walmart Global Tech, with a strong foundation in software engineering and data science. My expertise includes building production-grade systems, optimizing feature engineering pipelines, and developing and deploying AI-driven solutions to streamline complex data workflows.

My passion lies in exploring data-driven ideas and diving into Next-Gen AI innovations. Currently, I am leveraging Generative AI and Agentic AI to solve real-world problems. I thrive in dynamic environments where I can collaborate, learn, and contribute to meaningful projects.

What I'm Focused On

Generative AI

Leveraging Generative AI and Large Language Models to enhance e-commerce recommendation systems, focusing on achieving more accurate and user-centric online shopping experiences.

Data Analysis & Visualization

Transforming complex datasets into actionable insights using Python, SQL, and Tableau to support data-driven decisions.

Statistical Analysis & Machine Learning

Applying statistical methods and machine learning to identify patterns and predict outcomes, developing models to address real-world challenges with insightful solutions.

Data Engineering

Handling comprehensive data preparation, including cleaning, preprocessing, and ETL processes, to transform raw data into reliable, structured formats for effective modeling and insightful analysis.

Resume

Education

2024
San Jose State University

MS Data Analytics

  • > > Specialized in Data Science & Engineering, which enhanced my skills in areas such as feature engineering, machine learning, and data analysis, enabling me to apply my knowledge to real-world challenges.

2017
Anna University

B.TECH Information Technology

  • > > Specialized in database management, programming, and networking, providing a solid foundation in IT and software development.

Experience

Mar 2025 - Present
Walmart - C

Data Engineer

  • > Collaborate with the data science team to design and implement feature engineering pipelines for Search Data Platform, enhancing data quality and model performance.

Oct 2024 - Feb 2024
San Jose State University

Graduate Research Assistant

  • > Conducted research on visual product recommendation for e-commerce, focusing on developing a recommendation system utilizing a Visual RAG (Retrieve, Augment, Generate) approach.
  • > The research was accepted and presented at the IEEE Conference on Artificial Intelligence 2025 under the Business Intelligence vertical. IEEE CAI 2025.

2024 - Sep 2024
San Jose State University

Graduate Research Assistant

2021 - 2022
Cognizant

Software Engineer Associate

  • > Performed exploratory data analysis and applied analytical models to underwriting data to predict application approvals, achieving a 20% reduction in processing time and a 15% increase in decision accuracy.
  • > Created and implemented 20+ ETL pipelines using Java and Apache Airflow, reducing manual effort by 80%.
  • > Built 10+ Tableau dashboards for incident data analysis, accelerating issue resolution by 30% and improving customer satisfaction by 20%.

2019 - 2021
Cognizant

Programmer Analyst

  • > Implemented enhancements to a Java-based underwriting rule engine.
  • > Developed a monitoring tool for automated API and web URL health checks using a JSP/Servlet-based web portal.
  • > Developed Python scripts to simulate customer journeys with AppDynamics for optimized user experience analysis using Selenium.

2017 - 2018
Sutherland Global Solutions

BI Analyst

  • > Analyzed 10,000+ customer care chats.
  • > Developed Tableau dashboards.
  • > Delivered insights to enhance training and service quality.

Technical Skills

  • Python
  • SQL
  • Java
  • HTML/CSS
  • MySQL
  • MongoDB
  • AWS
  • GCP
  • Airflow
  • Hadoop
  • Hive
  • Spark
  • Docker
  • GIT
  • MLflow
  • LangChain
  • LangGraph
  • LangSmith
  • Tableau
  • Power BI
  • QuickSight
  • Excel
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Data Analysis
  • Data Engineering
  • Data Visualization
  • Statistics
  • Jira, Confluence
  • Agile (Scrum)
  • Problem-Solving

Certificates

Machine Learning

Credential ID: 2KB9TVAHBWV6
13 Feb 2024
Standford University

Data Analysis, Python

Credential ID: 8SWJPC7LXAJH
03 Jan 2024
IBM

Publications

Jul 9, 2025
International Journal of Information Management Data Insights

Bilens: A multimodal framework for enhancing E-commerce information management using vision transformers and large language models

View Publication
Jul 7, 2025
2025 IEEE Conference on Artificial Intelligence (CAI)

Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Rag

View Publication

Portfolio

I enjoy turning ideas into real-world projects and continuously sharpening my engineering skills. Every time I learn something new, I bring it to life through hands-on experimentation. Here's a collection of the projects I've built and the challenges I've explored along the way.

Automated Surveillance Firearm Detection

Automated Surveillance Firearm Detection

Computer Vision
News Article Analyzer

News Article Analyzer

Gen AI
Recipe Recommendation System

Recipe Recommendation System

Machine Learning
E-Commerce Product Recommendation

E-Commerce Product Recommendation

Machine Learning
Yelp Analysis

Yelp Analysis

Data Analysis
Arrhythmia Detection

Arrhythmia Detection

Deep Learning
Churn Prediction

Churn Prediction

Machine Learning
Celebrity Insights Generator

Celebrity Insights Generator

Gen AI
Chat with PDF

Chat with PDF

Gen AI
Nobel Prize Analysis

Nobel Prize Analysis

Data Analysis
Marvel Data Analysis

Marvel Data Analysis

Data Analysis

Contact

Let's Connect!!