# Aatmaj Janardanan

> Data Software Engineer @RadiantGraph

Location: San Francisco, California, United States
Profile: https://flows.cv/aatmaj

I’m a Data Software Engineer specializing in building AI-driven healthcare platforms designed to deliver personalized care to consumers. I focus on turning complex healthcare data into actionable insights through scalable architectures and AI integration.

## Work Experience
### Data Software Engineer @ RadiantGraph
Jan 2024 – Present | San Francisco Bay Area
- On a mission to make healthcare more accessible and easier for all of us as consumers. 

- Developing a HIPAA-compliant Voice AI Agent tailored for healthcare applications, integrating advanced speech recognition and natural language understanding to facilitate secure, real-time patient-provider interactions, thereby enhancing patient engagement and streamlining clinical workflows

- Assisting in the development of an AI platform that enables top healthcare companies to communicate with their patients more deeply and richly, resulting in tailored engagement and improved clinical results.

### Research Assistant (Data Engineer) @ Syracuse University
Jan 2023 – Jan 2024 | Syracuse, New York, United States
• Designing internal tool using stable diffusion model to generate 1 million fake profiles and images as part of the dataset preparation process for model evaluation by DARPA team for fake text and image detection.
• Organizing and hosting "Synthetic Image and Text Classification" hackathon, the first of its kind for Syracuse University, engaging over 100 students in innovative data science challenges, leveraging Kaggle.
• Managing 5-person team responsible for development of machine learning models & creation of datasets for categorizing false content

### Data Science Engineer Intern @ Rotational Labs, Inc.
Jan 2023 – Jan 2023 | United States
• Engineered and implemented a PyEnsign-based real-time data streaming platform, handling high-volume data flows and enabling instant data processing and analysis.
• Spearheaded the development of publisher & subscriber modules, seamlessly integrating 10 different data source APIs for real-time data ingestion & analysis, significantly enhanced conversion rates by 22% through improvements in the product showcase catalog.
• Managed over 80 pull requests on GitHub, collaborating in agile team sprints, and developed 30 user stories using Jira tool.
• Developed API key management for daily requests through JSON authentication in the PyEnsign development. 
• Authored & published PyEnsign Data Science articles, boosting customer understanding and engagement, thus elevating brand visibility.

### Data Science Engineer @ Unisys
Jan 2018 – Jan 2022 | India
• Played a pivotal role in aligning data solutions with business strategies by partnering with the Data Science team & key stakeholders, orchestrating workshops for 25 participants, and driving the creation of 80 innovative use cases.
• Actively participated in building data platforms for Data Science & analytics team using big data tools & frameworks like PySpark, Azure Data Factory & Azure Databricks, causing 33% enhancement in data flow efficiency
• Crafted and deployed scalable ETL workflows in Azure Data Factory, facilitating seamless data ingestion from various sources, including Amazon S3 & Azure Blob Storage, into Azure Data Lake (ADLS Gen2) delivering 100% efficiency.
• Mastered the management and surveillance of Azure Data Factory (ADF) data pipelines, attaining a remarkable 99% uptime rate, thus guaranteeing superior reliability and peak system performance.
• Catalyzed enhancements in the data quality check framework and spearheaded optimization of Spark applications, reducing 28-man hours per activity through strategic data partitioning and advanced caching methodologies.
• Conducted thorough data analysis with Spark SQL & PySpark DataFrame API, delivering key insights and clear reports to stakeholders through effective communication with 100% consistency.
• Documented and conducted training sessions on data pipelines and data models, sharing expertise with team members and stakeholders.

### Intern @ Larsen & Toubro Infotech Ltd
Jan 2018 – Jan 2018 | Pune Area, India
Worked on a project titled 'Mosaic AI'. This project was aimed to launch a GUI based deep learning workbench for data scientists.

### Intern @ HCL Infosystems Ltd.
Jan 2017 – Jan 2017 | Delhi Area, India


## Education
### Master's degree in Applied Data Science
Syracuse University

### Bachelor of Technology - BTech in Computer Science and Engineering
University of Calicut


## Contact & Social
- LinkedIn: https://linkedin.com/in/aatmaj-janardanan
- Portfolio: https://medium.com/@aatmajjanardanan/
- GitHub: https://github.com/Aatmaj1
- Portfolio: https://aatmaj1.github.io

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Source: https://flows.cv/aatmaj
JSON Resume: https://flows.cv/aatmaj/resume.json
Last updated: 2026-03-29