01↗
Flight Operations Event Platform
An event-driven platform for processing and monitoring flight operations across distributed services.
PythonFastAPIApache KafkaPostgreSQLRedisReactDocker
CSE · Ohio State University
I build software
for intelligent systems.
Hi! I'm Lakshmi, an Honors Computer Science and Engineering student at The Ohio State University, with minors in Psychology and Statistics. I'm interested in AI/ML and enjoy building data-driven systems that turn complex problems into practical solutions for people.
PythonC++Computer VisionMachine Learning
Experience
Building beyond the classroom.
Feb 2026 — Present
Software Engineer Team Member
Buckeye Vertical
Developing Python and C++ software for autonomous systems and real-time computer vision on NVIDIA Jetson embedded platforms. Building perception pipelines with YOLO, OpenCV, OCR, and DINOv2/DETR, alongside a Unity3D domain-randomization pipeline generating 12K+ synthetic target configurations.
PythonC++ROS2Computer VisionTensorRT
2026 — Present
Machine Learning Team Member
iGEM — SprayAway
Engineering Python-based biomedical data pipelines using Pandas, NumPy, and SciPy to process experimental PK/PD time-series data. Developing machine learning approaches that combine experimental observations with mechanistic model predictions.
PythonNumPySciPyMachine LearningTime Series
Mar 2026 — Present
Neuroimaging Research Assistant
OSU Center for Cognitive and Behavioral Brain Imaging
Engineering Python-based computational workflows for high-dimensional fMRI data using Pandas, Jupyter, and Nilearn. Developing reproducible validation and testing workflows while investigating data quality, edge cases, and reliability across participants.
PythonPandasNilearnJupyterData Analysis
Selected Work
Things I've built.
02↗
Real-Time Drone Monitoring & Anomaly Detection
A real-time telemetry and monitoring platform for autonomous aircraft with anomaly detection.
PythonC++ROS2Apache KafkaPostgreSQLReactPyTorchDocker
03↗
Medical Knowledge RAG Assistant
An end-to-end healthcare question-answering application that combines semantic retrieval with large language models to generate evidence-supported responses from medical knowledge sources.
PythonFastAPILangChainHugging FaceChromaDB
04↗
Medical Image Classification & Explainability
A computer vision pipeline for skin lesion classification using CNN and transfer-learning models, with Grad-CAM analysis to investigate model predictions and failure modes.
PythonTensorFlowKerasCNNComputer Vision
05↗
Intraoperative Physiological Event Intelligence Platform
A multimodal clinical time-series platform that reconstructs physiological timelines from ECG, SpO₂, blood pressure, respiratory signals, and medication events while detecting significant physiological events.
PythonPyTorchFastAPIPostgreSQLSciPy
Skills
What I work with.
Languages
PythonC++CJavaC#SQLJavaScript
Frameworks & Libraries
FastAPIPyTorchTensorFlowKerasscikit-learnPandasNumPySciPyOpenCVHugging FaceLangChainNilearn
Tools & Platforms
GitDockerLinuxPostgreSQLChromaDBROS2TensorRTNVIDIA JetsonJupyter
Areas
AI / MLComputer VisionSoftware EngineeringAutonomous SystemsScientific ComputingData PipelinesREST APIsEmbedded Systems
Contact
Let's build something meaningful.
I'm always interested in software engineering, AI/ML, and healthcare technology opportunities.