01
Machine Learning & Model Engineering
Feature engineering, model training, evaluation, and deployment for predictive and classification tasks.
PythonPyTorchscikit-learnPandas & NumPyModel EvaluationMLOps basics
→ ML PIPELINES
// 03 / SERVICES
Services
Machine learning, data science, AI safety, and applied ML in biomedical and embedded systems.
AI & Machine Learning
Predictive models, classification, forecasting, and evaluation workflows built on real business data.
PyTorchscikit-learnPython
→ AI-ML
Automation & Workflows
Reduce repetitive admin work with practical automation across email, sheets, CRM, and internal tools.
WorkflowsIntegrationsOps
→ AUTOMATION
Custom Software & Dashboards
Internal tools, reporting dashboards, and lightweight apps that make data and decisions usable.
DashboardsInternal toolsSQL
→ SOFTWARE
AI Safety & Guardrails
Prompt-injection defense and safer LLM usage patterns when language models are part of the stack.
LLM guardrailsAdversarial ML
→ SAFETY
// 03 / CAPABILITIES
ML stack and applied work
Machine learning, data science, AI safety, and applied ML in biomedical and embedded systems.
02
Data Science & Analytics
Data cleaning, exploratory analysis, statistics, and visualization for decisions and model input.
PandasNumPySQLMatplotlibSeabornPlotlyEDAStatistical Inference
→ DATA PIPELINES
03
AI Safety & Security
Prompt-injection detection, CTF competition work, and security thinking around ML systems.
Prompt Injection DetectionAI Safety ProtocolsCTF CompetitionsThreat ModelingAlgorithm Security
INPUT
FILTER
OUTPUT
→ ADVERSARIAL DEFENSE
04
Applied AI: Biomedical & Embedded
Arduino vital-sign sensors feeding real-time ML inference for automated clinical alerts.
C++ArduinoSerial CommBiomedical Data AnalysisSensors & VitalsEmbedded ML
→ EMBEDDED ML