Anitha Balachandran
San Jose
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
Resume
Education
2024
San Jose State UniversityMS 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 UniversityB.TECH Information Technology
- > > Specialized in database management, programming, and networking, providing a solid foundation in IT and software development.
Experience
Mar 2025 - Present
Walmart - CData 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 UniversityGraduate 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 UniversityGraduate Research Assistant
- > Conducted research on a multimodal information retrieval system to overcome the limitations of text-only and image-only methods, utilizing Vision Transformers and Large Language Models (LLMs).
- > The research was submitted to The International Journal of Information Management Data Insights.
2021 - 2022
CognizantSoftware 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
CognizantProgrammer 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 SolutionsBI 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
Data Analysis, Python
Publications
Jul 9, 2025
International Journal of Information Management Data InsightsBilens: A multimodal framework for enhancing E-commerce information management using vision transformers and large language models
View PublicationJul 7, 2025
2025 IEEE Conference on Artificial Intelligence (CAI)Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Rag
View PublicationPortfolio
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.