Machine Learning & Computer Vision
Deep learning, medical imaging, model experimentation, and vision-driven interfaces.
Core toolset
Familiar / secondary
Skills
A structured technical profile built from research, prototyping, and deployed work.
Instead of ranking tools with artificial percentages, this section highlights where my core toolset is strongest and where supporting familiarity helps me move across disciplines.
Capability map
Grouped by engineering domain, then separated into core and supporting layers.
Research-backed tool choices
Hover chips to see project evidence
Built to show range without losing clarity
Embedded Systems & ECE
Signal-aware engineering, sensor-connected prototyping, and hardware-software integration.
Core toolset
Familiar / secondary
Full-Stack Engineering
Product-facing software systems, APIs, and interfaces that stay grounded in real use.
Core toolset
Familiar / secondary
Languages, Tools & Frameworks
Everyday tools that support shipping, experimentation, and research workflows.
Core toolset
Familiar / secondary
Credentials
Coursework and certifications that support the practical work.
3 credentials
Supervised Machine Learning: Regression and Classification
Coursera
Jul 2024 | ID: XXSJUB68VF4Q
Verify certificate
Certified as Junior Dev and Designer
micro1.ai
Apr 2026 | ID: 1777242121-45245cae-2633-4137-8298-19a0de6d459e
Verify certificate