Record

What I know.
What backs it.

Projects are the main proof. This page is the quieter layer underneath them — education, working skills, selected credentials, and what I'm learning next. Not every certificate I've ever clicked through.

3rd year · BCA AI/ML/RoboticsBengaluruBahrain-raisedSelected evidence only
Education

The formal track.
And where it started.

The degree gives the structure. Most of the weird practical stuff still happens outside the syllabus.

YEAR 3 · CURRENT
University
BCA — Artificial Intelligence, Machine Learning & Robotics
Yenepoya (Deemed to be University) · Bengaluru
Current academic focus includes AI/ML, neural networks, data mining, robotics, algorithms and applied computing — while the projects on the main site turn a lot of that into systems.
Schooling
Ibn Al Hytham Islamic School
Bahrain
Schooling in Bahrain before moving to Bengaluru for university. Different environment, same habit of asking too many questions.
Working skills

Not keyword soup.
Things I've actually used.

No “100% expert” meters. These are the areas that show up repeatedly in the projects, coursework and debugging sessions.

AI / MACHINE LEARNING
LLM integrationPromptingMachine learningDeep learningANN / CNN / RNNOCRSpeech STT/TTSLocal models
Used across Jarvis, AI experiments, coursework and current deep-learning tracks.
SOFTWARE / SYSTEMS
PythonC# / .NETPowerShellREST APIsFastAPI / FlaskWindows automationProcess & file automationJSON
Jarvis is Python-heavy; PHOENIX is structured around C#/.NET and Windows platform services.
DATA / SEARCH / RETRIEVAL
SQLData cleaningData analysisSearch retrievalRankingDeduplicationProvider abstractionData visualization concepts
Backed by Google Data Analytics work and ORION's search/retrieval pipeline.
ROBOTICS / BUILD WORKFLOW
Robotics fundamentalsIndustrial automationGit / GitHubVS CodeHTML / CSS / JSTesting & debuggingTechnical documentationSystem thinking
Robotics is the current academic direction; Git/testing/documentation are the boring bits keeping the projects real.
Selected credentials

Signal only.
Not the whole Coursera wall.

I have more certificates than belong on a useful portfolio. These are the ones most connected to the systems, data and AI work shown here.

Google2026
Google Data Analytics Professional Certificate
Structured data analysis, cleaning, questioning and case-study work.
Google2026
Google AI Essentials Specialization
Practical AI use, prompting, responsible use and productivity workflows.
Google2026
Google IT Automation with Python Professional Certificate
Python automation, operating-system interaction, Git/GitHub, debugging, configuration management and real-world task automation.
EDUCBA2026
Deep Learning with Python: CNN, ANN & RNN Specialization
Deep-learning foundations connected directly to the AI/ML degree track.
University of Illinois Urbana-Champaign2026
Text Retrieval and Search Engines
Probably the most on-brand certificate here if you've already seen ORION.
University of Illinois Urbana-Champaign2026
Introduction to Artificial Intelligence
Formal AI foundations alongside the more chaotic hands-on experiments.
L&T EduTech2026
Fundamentals of Robotics & Industrial Automation
Core robotics/automation concepts supporting the degree specialization.
Google2026
Foundations of Cybersecurity
Useful grounding when your projects can touch files, systems, APIs and Windows state.
Microsoft2026
Master Microsoft Office 365 and Power Platform Specialization
Power Platform, automation and Microsoft ecosystem exposure beyond pure code.
Why only nine? Because a certificate count is not a skill. The stronger proof is still the project page, the repos, the tests, and whether the thing actually works.
Currently learning

The queue never really
gets empty.

Selected active tracks only — the ones most relevant to where the work is going next.

01
Machine Learning
Supervised learning, advanced algorithms, unsupervised learning, recommenders and reinforcement learning.
IN PROGRESS
02
Deep Learning
Neural networks, optimization, ML project structuring, convolutional networks and sequence models.
IN PROGRESS
03
Modern Robotics: Mechanics, Planning & Control
Robot motion, kinematics, dynamics, motion planning, manipulation and mobile robotics.
IN PROGRESS

Enough paperwork.
See what it turned into.

The credentials explain the direction. The projects show what happened when I actually tried to build with it.

Explore projectsGitHub ↗Contact