Role
Researcher & Tool Creator
Specialisation
Nutrition Research & Calculator Design
Work
Evidence Review & Tool Building
Focus
Protein, Body Composition, Practical Tools
Role on MyProteinCalc
Jitendra researches, builds, and maintains MyProteinCalc's protein calculators and nutrition tools. His work focuses on translating published research, dietary reference values, food databases, and sports nutrition position stands into practical calculators and clear educational guides. He checks formulas, assumptions, source quality, and safety language so readers can understand how each tool reaches its result.
Professional Background
Jitendra Kumar Kumawat is a researcher and builder who enjoys creating practical nutrition, protein, and fitness tools. His work centers on reviewing published evidence, comparing dietary guidelines, and turning formulas into calculators that are easier for everyday readers to use.
His research-first workflow cross-references protein intake recommendations against institutional resources, peer-reviewed literature, food composition databases, and position stands from organizations such as ISSN and ACSM. The goal is to make each calculator transparent about its assumptions and useful as an educational starting point.
Jitendra is not a registered dietitian or licensed medical provider. MyProteinCalc content is educational and should not replace personalized guidance from a qualified clinician or registered dietitian.
Research and Tool-Building Workflow
Jitendra's work on MyProteinCalc starts with the practical question a reader is trying to answer: how much protein to eat, how to interpret a calculator result, how to compare two foods, or how to plan meals around a target. From there, he maps the decision to the formulas, ranges, and source types that are most appropriate for the page.
For calculator pages, the workflow focuses on transparent assumptions. A calculator should explain which inputs affect the result, which formula is being used, what the output can and cannot mean, and when the user should treat the result as a starting point instead of a final instruction. This is especially important for calorie, protein, body composition, hydration, creatine, and medical-context pages where a precise-looking number can be misunderstood.
For guides and food pages, the workflow focuses on source quality, serving assumptions, plain-language explanations, and useful next steps. Food values are written as representative estimates rather than universal truths because brands, cooking methods, drained weights, water loss, and label rounding can all change the number a reader sees in real life.
Methodology Checks Used on Calculator Pages
| Check | What it means | Why it matters |
|---|---|---|
| Formula fit | The formula should match the page intent and population. | A muscle-gain target, a pregnancy target, and a hydration target should not use the same assumptions. |
| Unit handling | Inputs such as kg, lb, cm, inches, litres, grams, and calories must convert predictably. | Small unit mistakes can create large output errors and poor user decisions. |
| Range language | Outputs should use ranges when individual variation is expected. | Nutrition estimates are rarely exact enough to justify a single rigid number. |
| Safety caveats | Pages should flag medical contexts where clinician guidance comes first. | Kidney disease, pregnancy, medication use, diabetes, and appetite loss can change nutrition priorities. |
Areas of Expertise
Content Review Standards
MyProteinCalc separates educational research review from medical care. Jitendra checks whether a page is internally consistent, whether source claims are stated carefully, whether formulas are explained, and whether the page gives readers a realistic way to use the result. He does not diagnose conditions, prescribe diets, or replace a registered dietitian, physician, pharmacist, or other qualified clinician.
Pages with higher risk receive more explicit caution language. That includes content about pregnancy, breastfeeding, kidney disease, diabetes, older adults, low appetite, PCOS, GLP-1 medications, severe calorie restriction, eating disorder history, and supplement use. In these cases, the page should make clear that a calculator result is educational and that individualized guidance may be necessary.
The review standard also includes usability. A technically correct page can still fail if it does not answer the reader's next question. Strong pages explain the formula, show a worked example, list common mistakes, describe limitations, and link to related calculators or guides that help the reader act safely.
Source and Update Principles
Prefer stable sources
Calculator and nutrition content should lean on institutional resources, peer-reviewed research, recognized professional organizations, official labels, and food composition databases before general wellness commentary.
Explain uncertainty
When research is mixed or individual variation is large, the page should use ranges and plain-language caveats instead of false precision.
Update when assumptions change
Pages should be revisited when guidelines, formulas, food data, source links, medication labels, or safety recommendations change.
Keep user action realistic
The final recommendation should be something a reader can apply: a target range, a meal structure, a measurement method, or a reason to ask a clinician.
Boundaries, Limitations, and Reader Safety
A research profile should make boundaries clear. Jitendra's role is to build educational tools, explain assumptions, and improve the clarity of nutrition content. That is different from providing personalized medical nutrition therapy. Readers with kidney disease, diabetes medication changes, pregnancy, lactation, appetite loss, eating disorder history, recent surgery, or other medical complexity should use a qualified clinician or registered dietitian for individual targets.
The site's calculators are designed to be useful starting points. They can estimate a protein target, calorie target, body composition reference, hydration estimate, creatine dose, or training percentage, but they cannot judge symptoms, lab results, medication interactions, injury risk, or whether a recommendation is emotionally safe for a reader. Strong content should state these limits directly.
This boundary is part of trust. A page should not sound more certain than the evidence allows. When a topic has meaningful individual variation, the content should use ranges, explain what changes the estimate, and tell readers which signals should prompt professional help. That approach is less flashy, but it is more useful for health-adjacent content.
How This Profile Supports E-E-A-T
MyProteinCalc covers YMYL-adjacent nutrition topics, so author and reviewer transparency matters. This profile helps readers understand who is responsible for the calculators and educational content, what kind of work is being performed, and where the limits of that work are. It also gives search engines clearer context about authorship, methodology, and topical focus.
Experience is shown through the practical structure of the tools: formulas, worked examples, range explanations, food conversions, meal-planning context, and troubleshooting sections. Expertise is supported by source-aware writing and calculator methodology. Authoritativeness grows when the same standards are applied across calculators, guides, food pages, and trust pages. Trust is strengthened by visible disclaimers, correction policies, and direct statements about when clinician guidance is needed.
Practical Quality Signals on MyProteinCalc
The strongest quality signal is not a title alone; it is whether a page helps the reader make a better decision with fewer hidden assumptions. For calculator pages, that means formula explanations, input definitions, worked examples, limitations, and related tools. For food pages, it means serving conversions, raw or cooked context, label variation, and realistic meal uses. For medical context pages, it means clear boundaries and clinician referral signals.
Jitendra's profile exists so readers can connect those page-level standards to a responsible person and workflow. It also makes the site easier to audit: if a page needs a correction, a stronger source, clearer safety language, or a better explanation, the methodology should be visible enough for that issue to be found and improved.
This transparency is especially important because many pages on the site produce numbers. A number can feel authoritative even when it is only an estimate. The profile, methodology pages, correction policy, and visible disclaimers work together to show that the tools are educational, source-aware, and open to revision when better evidence or clearer wording is needed.
Readers should be able to see how a recommendation was created, what assumptions shaped it, and what to do if their situation does not fit the default example. That is why calculator pages are being expanded with formulas, worked examples, limitations, common mistakes, and next-step guidance instead of leaving users with a number alone.
The same principle applies to content gaps and thin pages. A short page may answer the main query, but it often fails to answer the follow-up questions that determine whether a reader can use the information safely. Stronger pages explain context, tradeoffs, examples, measurement issues, and when the reader should seek a more qualified source.