Sanjaay Gowda T S

THE LEARNING HUB / BY SANJAAY GOWDA T S

Practical resources.
Ready for your
next build.

Build a workflow, learn from a practical ebook, run a local model, prepare for a technical interview or catch up on the Tech Brief. Choose the path that fits your next step.

108AI skills 25Practical ebooks 27Local AI models

A FREE CAREER PREPARATION PATH

From your resume
to a reasoned answer.

Choose a technical track and follow four practical steps. Resume content stays in the checker; no resume data moves into this path. Practice questions are original material, and company-context prompts are not verified employer interview questions.

Software engineering path · All four steps are free.

  1. 01 / RESUME

    Review your application

    Compare your resume with a job description and prepare a truthful, private tailored draft.

    Open the resume checker ↗
  2. 02 / FOCUS

    Software engineering

    Browse the technical track and choose questions that fit the role you are preparing for.

    Explore this track ↗
  3. 03 / EXPLAIN

    Reason through one answer

    State assumptions, explain the approach and discuss tradeoffs before reading the worked answer.

    Open a focused question ↗
  4. 04 / TEST

    Test a two-sum approach

    Run the visible tests and compare actual and expected output. This exercise is practice, not a complete assessment of the role.

    Open the coding exercise ↗
Browse every technical track

START WITH A GOAL

A clear route to
your next useful skill.

Follow a short sequence across the Learning Hub. Start with free material; full books and toolkits are optional paid resources.

01 / CHOOSE YOUR STARTING POINT

Three ways to
move an idea forward.

Free samples show the approach. Product pages explain what is included, what you need, and the terms before you download or buy.

01 / WORKFLOWS
Free samplesPaid editions

AI skills &
runnable toolkits.

Reusable instructions for AI, analytics and automation, with guided editions for adapting them to your work. 3 separate Python toolkits take you from supplied input to an inspectable report.

  • 108 skills to browse and preview
  • 3 free starter samples
  • Runnable toolkits: Feedback Intelligence · MIS Reporting & Reconciliation · RAG & Chatbot Evaluation

Review each package’s setup requirements and licence. Runnable toolkits require Python; AI-assisted skills need your own compatible AI tool.

02 / GUIDES
Free samplesPaid ebooks

Read it.
Then build it.

25 practical ebooks spanning AI development, Python workflows and business analytics. Explore a free sample before choosing the full PDF, EPUB and companion project.

Each book lists its scope, prerequisites, edition and review status. Full ebooks and companion code have separate licence terms.

03 / MODEL WEIGHTS
Free downloads

Make your
next model local.

Browse 27 reviewed GGUF selections from upstream publishers and converters. Compare memory estimates, inspect the source and licence, then choose weights for a compatible local runtime.

No download charge from this website. Upstream licences apply; hardware figures are estimates. Model weights come from the original host.

FREE TOOL / RESUME ATS CHECKER

Make your experience
easier to find.

Review your resume against a job description, inspect matched and missing keywords, and get a clear checklist of content improvements. Import a PDF, DOCX or text file, or paste your text.

Free. No signup. Resume processing stays in your browser. Scores explain this tool’s checks; they do not predict hiring outcomes.

  1. 01

    Bring your resume.

    Check the extracted text before you analyse.

  2. 02

    Compare a real role.

    Review job keywords and add the phrases that matter.

  3. 03

    Improve with evidence.

    Use truthful suggestions and download your report.

PRACTICE / INTERVIEW PREP

Think it through.
Then test it.

Explore 100 company profiles with original company-context practice, explained technical answers and a runnable JavaScript, Python and SQL coding lab.

Original practice with public model answers and solutions. Company prompts are not verified questions from company interviews.

  1. 01

    Understand the context.

    Choose a company and a technical track.

  2. 02

    Explain your decisions.

    Reason through an approach, tradeoffs and pitfalls.

  3. 03

    Inspect actual results.

    Run code and compare it with the visible tests.

STAY CURRENT / SANJAAY'S TECH BRIEF

News worth
putting to work.

Follow selected AI, data and developer updates, with original commentary, source links and dated newsletter editions. Tech Brief is the web/RSS publication; TechMegalodon is my separate LinkedIn newsletter.

Read the Tech Brief

02 / A SMALL FIRST STEP

Explore before
you commit.

  1. 01

    Choose one real task.

    Start with a reporting problem, an AI workflow, a topic to learn, or a local model use case.

  2. 02

    Inspect the sample and requirements.

    Read the inputs, outputs, setup notes and licence so the resource fits how you plan to use it.

  3. 03

    Try, review, then adapt.

    Use the supplied examples first. Inspect the result before bringing in your own data or workflow.

Looking for my professional work, experience or patent?

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