# Aditya Chitlangia

> Software Engineer@Axil Health | Prev@Oracle | CS@NCSU 2025 | Cloud, Agentic AI, Software Engineering | CodePath

Location: San Jose, California, United States
Profile: https://flows.cv/adityachitlangia

I enjoy manipulating data, however, it's the analysis that gets me going. I like to uncover patterns between numbers and make spreadsheets tell stories. With big data at our fingertips, these stories can be transformed into actionable solutions and strategies for businesses. 

I am interested in both data engineering and data analyst roles.

I’m skilled at several data management systems and software, including SQL, Python, Tableau, Excel, ETL, AWS.

## Work Experience
### Software Engineer @ Axil Health
Jan 2024 – Present | Raleigh, North Carolina, United States
• Designed 10+ HIPAA-compliant RESTful APIs using FastAPI, securing 35,000+ patient records across 20+ clinics through JWT authentication and role-based access control; achieved zero breaches with high system availability.
• Created responsive patient dashboard (React, TypeScript, Material-UI) with real-time Chart.js visualizations; slashed API latency 25% through Vite-optimized Axios calls, supporting 1,000+ concurrent users.
• Streamlined clinical analytics pipeline for 35,000+ patient records using Pandas/NumPy; implemented EWMA for anomaly detection, triggering alerts and cutting analysis time by 60%.
• Built a KPI microservice delivering sub-200ms queries for 100+ clinical staff, lowering HR review time by 60% & enabling data-driven staffing decisions.

### Research Developer | Guilluy Lab @ North Carolina State University
Jan 2024 – Jan 2024 | Raleigh, North Carolina, United States
• Automated cell nucleus analysis using OpenCV, transforming 10,000+ microscopy images into structured datasets by quantifying size, shape, and texture metrics, slashing manual analysis time by 60%.
• Built a Python-based ETL pipeline (Pandas, SQL) to integrate fragmented datasets from 3 sources into a centralized data warehouse, reducing data preparation time by 50% and enabling cross-dataset analysis for actionable insights.
• Conducted EDA to identify trends in cell behavior, delivering actionable insights via Power BI dashboards that boosted team productivity by 30%.

### Software Engineer (Oracle -> Cerner Acquisition) @ Oracle
Jan 2021 – Jan 2023
• Developed & deployed secure backend microservices with Oracle Cloud (OCI), REST APIs (Maven, Hibernate, Spring, SQL), supporting systems that processed up to a million API requests per day across 1000 hospitals.
• Built monitoring dashboards for microservices on OCI using Prometheus, Grafana, and AlertManager, cutting response times by 6 hours, resulting in annual cost savings of $35,000.
• Created Python tooling to integrate Zabbix alerts with Jira API, auto-generating incident tickets & reducing manual effort by 70%, and alert backlog by 40%.
• Optimized AWS S3 usage cost via lifecycle policies and deduplication, cutting storage costs by 35% and saving $100K+/year for an EHR analytics platform.
• Led AWS cloud migration leveraging Python and Terraform to migrate 2,300+ on-prem servers to AWS, enabling real-time ETL of 50+ TB/day healthcare data and reducing deployment time by 55%.
• Partnered with the DevOps team to automate CI/CD pipelines using Docker, Kubernetes, GitLab (bash scripts) and Jenkins, shortening release cycles by 50% while boosting code quality by 60%

### Software Engineer @ Oracle
Jan 2020 – Jan 2021

### Software Engineer Intern @ Oracle
Jan 2019 – Jan 2020
• Automated database migrations with Python scripts, streamlining JDBC string updates and reducing manual effort from 700 to 60 hours per year.
• Migrated client’s on-prem infrastructure to a scalable OpenStack environment using Chef for automated provisioning, cutting infrastructure costs by 25%.

### Data Scientist @ ISRO - Indian Space Research Organization
Jan 2018 – Jan 2018
• Built a pediatric ICU mortality prediction model using LSTM networks (Keras/Theano), analyzing 5,000+ EHRs to predict survival risk with 85.2% AUC, outperforming clinical standards (PIM2/PRISM3) by 35% and enabling real-time risk monitoring for clinicians.
• Engineered a scalable data pipeline (pandas) to clean, normalize, and align 265+ time-series medical variables, resolving missing data gaps through
interpolation and outlier detection.

### Internshala Student Partner 9.0 @ Internshala
Jan 2018 – Jan 2018 | Chennai Area, India
VIT Chennai campus representative for Internshala


## Education
### Master of Science - MS in Computer Science
North Carolina State University

### Bachelor of Technology in Computer Science
Vellore Institute of Technology

### High School in CBSE Board
St. Anne's School,Jodhpur

### Technical Interview Preparation in Computer Science
CodePath


## Contact & Social
- LinkedIn: https://linkedin.com/in/aditya-chitlangia

---
Source: https://flows.cv/adityachitlangia
JSON Resume: https://flows.cv/adityachitlangia/resume.json
Last updated: 2026-04-10