AI/ML Intern @ CACI · Boulder, CO
BhargavSairam.
CS at CU Boulder · AI/ML Intern at CACI.
I build machine-learning systems that hold up in the real world, from satellite imagery to production data pipelines.
01About
Engineer by training, researcher by habit.
I'm a Computer Science student at the University of Colorado Boulder (Dean's List, 3.78 GPA) and an AI/ML intern at CACI, where I work on geospatial machine learning with satellite imagery.
I've been doing applied ML since high school, starting with a published research project on predicting health incidents in assisted-living facilities. Since then I've built data pipelines, full-stack apps and computer-vision systems.
I like problems where the hard part isn't the model. It's making the model useful in the real world.
Now
Updated September 2026
- Interning on the AI/ML team at CACI: geospatial ML with Sentinel-2 imagery.
- Junior year at CU Boulder: Neural Networks, Operating Systems.
- Building a land-cover classifier that runs entirely in your browser.
02Selected work
Things I've built.
All 5 projects03Experience
Where I've worked.
May 2026 — Present
CACI International
AI/ML Intern · Colorado Springs, CO
41,600 → 160 priority cells
- Lead development of an end-to-end geospatial ML pipeline fusing five open-source signals into a composite risk score, narrowing a 41,600-cell search grid to 160 priority cells for satellite tasking.
- Engineered a 4-channel ResNet-50 classifier (RGB + near-infrared Sentinel-2 imagery) with transfer learning and class-imbalance loss weighting, validated with 5-fold spatial cross-validation to eliminate geographic leakage.
- Designed a geometry-based cascade filter (NDVI/NDWI spectral masking + shape descriptors) that cut false positives 95% downstream of the CNN.
PyTorchGeoPandasrasterioEarth EngineSentinel-2May 2025 — Aug 2025
Namo Cloud Solutions
Software Engineering Intern, AI/ERP Integration · Denver, CO
−90% manual reporting
- Built and deployed a data integration pipeline linking NetSuite ERP with Google Cloud SQL via RESTlet APIs and OAuth 1.0.
- Automated daily transactional sync with Python, MySQL and Cloud Scheduler, cutting manual reporting effort by 90%.
- Designed and optimized staging databases for faster ERP analysis and downstream AI/BI applications.
Mar 2022 — Feb 2023
Navjoy Inc
Machine Learning & Research Intern · Golden, CO
Published research
- Researched and implemented ML models to predict resident behaviors and health risks in assisted-living facilities.
- Prototyped an early-warning system that flags potential incidents (falls, deteriorating health) so caregivers can intervene proactively.
- Authored and published a research paper translating ML methods into practical healthcare applications, validated with caregivers and staff.
04Toolkit
What I work with.
ML & Data
- PyTorch
- TensorFlow
- scikit-learn
- XGBoost
- NumPy
- Pandas
- OpenCV
Geospatial
- GeoPandas
- rasterio
- Google Earth Engine
- Sentinel-2
- NDVI / NDWI
Languages
- Python
- C++
- C
- C#
- Java
- JavaScript
- TypeScript
- SQL
Backend & Infra
- Node.js
- Express
- PostgreSQL
- MySQL
- Docker
- GCP
- REST APIs
- CI/CD
05Education
Where I study.
University of Colorado Boulder
B.S. Computer Science
- Graduation
- May 2028
- GPA
- 3.78
- Honors
- Dean's List
- Location
- Boulder, CO
Relevant coursework
- Neural Networks
- Data Science
- Algorithms
- Data Structures
- Operating Systems
- Computer Systems
- Database Systems
- Linear Algebra
- Discrete Structures
- Software Development
- Calculus I & II
06Contact
Let's build something that works.
Open to ML and software engineering internships, research collaborations, and interesting problems. The fastest way to reach me is email.