Academic CVs, cover letters and a shared style

cv.bib

% Kavya Iyer's works, the one source of the publication lists of her CV and resume. Every name, title, venue and DOI
% is invented. Titles are in sentence case, with proper nouns braced; keywords = {selected} marks the works her
% one-page resume lists; talks are @unpublished entries whose note holds the event and the place.
@article{iyer2024monsoon,
  author   = {Iyer, Kavya and Østergaard, Mikkel},
  title    = {Monsoon rainfall records from {Assamese} tea gardens},
  journal  = {Journal of Invented Climate Studies},
  year     = {2024},
  volume   = {12},
  number   = {3},
  pages    = {41--58},
  doi      = {10.5555/jics.2024.0312},
  keywords = {selected},
}

@article{iyer2022soil,
  author   = {Iyer, Kavya and Baruah, Pranjal},
  title    = {Soil moisture after the first monsoon week in {Assam}},
  journal  = {Journal of Invented Climate Studies},
  year     = {2022},
  volume   = {10},
  number   = {2},
  pages    = {77--90},
  doi      = {10.5555/jics.2022.0207},
}

@inproceedings{iyer2025sensors,
  author    = {Iyer, Kavya and Okafor, Chidi},
  title     = {Low-cost rain sensors for tea estates},
  booktitle = {Proceedings of the Sixth Workshop on Invented Data},
  year      = {2025},
  pages     = {33--40},
  doi       = {10.5555/wid.2025.033},
  keywords  = {selected},
}

@inproceedings{iyer2023gaps,
  author    = {Iyer, Kavya},
  title     = {Filling gaps in hourly rain gauge records},
  booktitle = {Proceedings of the Fifth Workshop on Invented Data},
  year      = {2023},
  pages     = {87--94},
  doi       = {10.5555/wid.2023.087},
}

@dataset{rainset2025,
  author   = {Menon, Deepa and Iyer, Kavya and Okafor, Chidi and Rao, Sunita},
  title    = {Hourly rain gauge readings, 2015--2024},
  year     = {2025},
  doi      = {10.5555/rain.hourly.2025},
}

@unpublished{iyer2025talk,
  author   = {Iyer, Kavya},
  title    = {What rain gauges miss},
  note     = {Invited talk, Climate Data Seminar, Example University, Guwahati},
  year     = {2025},
}

@unpublished{iyer2024talk,
  author   = {Iyer, Kavya},
  title    = {Monsoon records from tea gardens},
  note     = {Talk, Example Monsoon Meeting, Shillong},
  year     = {2024},
}

latex/cv.tex

% cv.tex: Kavya Iyer's academic CV. Its publication lists come from cv.bib, grouped by entry type, newest first.
\documentclass[11pt,a4paper]{article}
\usepackage{cv-style}
\usepackage[style=ieee, sorting=ydnt, defernumbers=true]{biblatex}
\addbibresource{cv.bib}

\begin{document}
\cvheader{Kavya Iyer, curriculum vitae}

\cvsection{Positions}
\entry{Example Institute of Atmospheric Science}{Guwahati}{Research fellow}{2024 -- present}

\cvsection{Education}
\entry{Example University}{Guwahati}{PhD in Atmospheric Science}{2019 -- 2024}
\entry{Example University}{Guwahati}{MSc in Physics}{2017 -- 2019}

\nocite{*}
\cvsection{Journal articles}
\printbibliography[type=article, heading=none, resetnumbers=true]
\cvsection{Conference papers}
\printbibliography[type=inproceedings, heading=none, resetnumbers=true]
\cvsection{Datasets}
\printbibliography[type=dataset, heading=none, resetnumbers=true]
\cvsection{Talks}
\printbibliography[type=unpublished, heading=none, resetnumbers=true]
\end{document}

typst/style.typ

// style.typ: the look that Kavya Iyer's resume, CV and letter share, and the parts all three print. Each of them
// starts with #import "style.typ": * and #show: look.with(title: …).
#let me = (name: "Kavya Iyer", place: "Guwahati, India", email: "kavya.iyer@example.com", web: "kavya.example.com")

#let look(title: none, doc) = {
  set document(title: title, author: me.name)
  set page(paper: "a4", margin: 18mm)
  set text(font: "New Computer Modern", size: 11pt, lang: "en", region: "GB")
  set par(spacing: 0.65em)
  set list(spacing: 0.4em, indent: 0.2em)
  show heading.where(level: 1): it => block(above: 1.1em, below: 0.5em, width: 100%,
    stroke: (bottom: 0.5pt), inset: (bottom: 3pt), text(size: 12pt, weight: "bold", it.body))
  doc
}

// The name and the contact line, the same at the top of every document.
#let header() = [
  #title(me.name)
  #me.place | #link("mailto:" + me.email)[#me.email] | #link("https://" + me.web)[#me.web]
]

// One entry: the organisation, the place and the dates on one line, in reading order, and the role under it.
#let entry(org, place, dates, role) = [*#org*, #place | #dates \ #emph(role)]

// The entries of a .bib file as their type, key, year and keywords, read from its text: enough for a tidy file of
// one's own works, whose entries each end with a } alone on a line.
#let works(path) = read(path).matches(regex("(?s)@(\w+)\{([^,\s]+),(.*?)\n\}")).map(m => {
  let (type, key, body) = m.captures
  let year = body.match(regex("\byear\s*=\s*\{(\d{4})\}"))
  let words = body.match(regex("\bkeywords\s*=\s*\{([^}]*)\}"))
  (
    type: type,
    key: key,
    year: if year == none { 0 } else { int(year.captures.first()) },
    keywords: if words == none { () } else { words.captures.first().split(",").map(str.trim) },
  )
})

// A list of works under a heading: every work of the .bib file that `keep` accepts, newest first, cited without a
// mark and printed by a bibliography that takes only the citations inside this block, numbered from 1.
#let publications(path, title, keep, style: "ieee") = {
  heading(title)
  context block({
    for work in works(path).filter(keep).sorted(key: w => -w.year) {
      cite(label(work.key), form: none)
    }
    bibliography(path, title: none, target: selector(cite).within(here()), group: none, style: style)
  })
}

// A cover letter: the header, the date, the recipient's lines, a subject in bold, the text and the signature.
#let letter(to: (), subject: none, body) = {
  header()
  v(0.8em)
  datetime.today().display("[month repr:long] [day padding:none], [year]")
  v(0.4em)
  to.join(linebreak())
  if subject != none {
    v(0.4em)
    strong(subject)
  }
  v(0.4em)
  body
  v(0.8em)
  [With best regards,]
  v(0.4em)
  me.name
}

typst/cv.typ

// cv.typ: Kavya Iyer's academic CV. Its publication lists come from cv.bib, grouped by entry type, newest first.
#import "style.typ": *
#show: look.with(title: [Kavya Iyer, curriculum vitae])
#header()

= Positions
#entry[Example Institute of Atmospheric Science][Guwahati][2024 – present][Research fellow]

= Education
#entry[Example University][Guwahati][2019 – 2024][PhD in Atmospheric Science] \
#entry[Example University][Guwahati][2017 – 2019][MSc in Physics]

#publications("cv.bib", [Journal articles], w => w.type == "article")
#publications("cv.bib", [Conference papers], w => w.type == "inproceedings")
#publications("cv.bib", [Datasets], w => w.type == "dataset")
#publications("cv.bib", [Talks], w => w.type == "unpublished", style: "talks.csl")

typst/talks.csl

<?xml version="1.0" encoding="utf-8"?>
<!-- talks.csl: a list numbered like IEEE that also prints a talk's note, where cv.bib keeps its event and place. -->
<style xmlns="http://purl.org/net/xbiblio/csl" class="in-text" version="1.0" default-locale="en-GB">
  <info>
    <title>CV talks</title>
    <id>https://example.com/csl/cv-talks</id>
    <updated>2026-01-01T00:00:00+00:00</updated>
  </info>
  <citation>
    <layout>
      <text variable="citation-number" prefix="[" suffix="]"/>
    </layout>
  </citation>
  <bibliography second-field-align="flush">
    <layout suffix=".">
      <text variable="citation-number" prefix="[" suffix="]"/>
      <group delimiter=", ">
        <names variable="author">
          <name initialize-with=". " and="text"/>
        </names>
        <text variable="title" quotes="true"/>
        <text variable="note"/>
        <date variable="issued">
          <date-part name="year"/>
        </date>
      </group>
    </layout>
  </bibliography>
</style>

latex/cv-style.sty

% cv-style.sty: the look that Kavya Iyer's resume, CV and letter share. Each of them loads it with \usepackage{cv-style}.
\NeedsTeXFormat{LaTeX2e}
\ProvidesPackage{cv-style}
\RequirePackage[margin=18mm]{geometry}
\RequirePackage[T1]{fontenc}
\RequirePackage{lmodern}
\RequirePackage{enumitem}
\RequirePackage[hidelinks]{hyperref}

\pagestyle{empty}
\setlength{\parindent}{0pt}
\setlist[itemize]{nosep, leftmargin=1.2em}

% Headings: LaTeX's \section*, set close, with a rule under them (as in the module's one-page resume).
\renewcommand\section{\@startsection{section}{1}{0pt}{8pt}{1sp}{\large\bfseries}}
\newcommand{\cvsection}[1]{\section*{#1}\vspace{2pt}\hrule\vspace{3pt}}

% One entry: the organisation, the place and the dates on one line, in reading order, and the role under it.
\newcommand{\entry}[4]{\textbf{#1}, #2 | #4\par\textit{#3}\par}

% The name and the contact line, the same at the top of every document. #1 is the PDF's title.
\newcommand{\cvheader}[1]{%
  \hypersetup{pdftitle={#1}, pdfauthor={Kavya Iyer}}%
  {\LARGE\bfseries Kavya Iyer}\par\smallskip
  Guwahati, India | \href{mailto:kavya.iyer@example.com}{kavya.iyer@example.com}
  | \href{https://kavya.example.com}{kavya.example.com}\par}

typst/resume.typ

// resume.typ: Kavya Iyer's one-page resume for a data role. Its publications are the works cv.bib marks selected.
#import "style.typ": *
#show: look.with(title: [Kavya Iyer, resume])
#header()

= Experience
#entry[Example Institute of Atmospheric Science][Guwahati][2024 – present][Research fellow]
- Built the pipeline that cleans 4.2 million hourly gauge readings a year for the institute’s rainfall maps.
- Wrote the Python package the lab uses to fill gaps in gauge records, with 96 tests.

= Education
#entry[Example University][Guwahati][2019 – 2024][PhD in Atmospheric Science]

#publications("cv.bib", [Selected publications], w => "selected" in w.keywords)

= Skills
Python, R, SQL, pandas, xarray, Git, LaTeX, Typst

latex/resume.tex

% resume.tex: Kavya Iyer's one-page resume for a data role. Its publications are the works cv.bib marks selected.
\documentclass[11pt,a4paper]{article}
\usepackage{cv-style}
\usepackage[style=ieee, sorting=ydnt, defernumbers=true]{biblatex}
\addbibresource{cv.bib}

\begin{document}
\cvheader{Kavya Iyer, resume}

\cvsection{Experience}
\entry{Example Institute of Atmospheric Science}{Guwahati}{Research fellow}{2024 -- present}
\begin{itemize}
  \item Built the pipeline that cleans 4.2 million hourly gauge readings a year for the institute's rainfall maps.
  \item Wrote the Python package the lab uses to fill gaps in gauge records, with 96 tests.
\end{itemize}

\cvsection{Education}
\entry{Example University}{Guwahati}{PhD in Atmospheric Science}{2019 -- 2024}

\nocite{*}
\cvsection{Selected publications}
\printbibliography[keyword=selected, heading=none]

\cvsection{Skills}
Python, R, SQL, pandas, xarray, Git, LaTeX, Typst
\end{document}

typst/letter.typ

// letter.typ: Kavya Iyer's cover letter, built with the letter function of the style module her resume and CV use.
#import "style.typ": *
#show: look.with(title: [Kavya Iyer, cover letter])

#letter(
  to: ([Hiring committee], [Example Climate Analytics], [Bengaluru]),
  subject: [Research scientist, rainfall data],
)[
  Dear members of the committee,

  I am applying for the post of research scientist in your rainfall data team. For five years I have worked with
  hourly rain gauge records from tea estates in Assam: cleaning them, filling their gaps and turning them into the
  maps my institute publishes every season.

  At the Example Institute of Atmospheric Science I built the pipeline that cleans 4.2 million readings a year, and
  the method behind it is in my paper on filling gaps in hourly records. I would bring the same care for messy field
  data to your forecasting products.

  Thank you for your time. I would be glad to talk about the post.
]

latex/letter.tex

% letter.tex: Kavya Iyer's cover letter, on the article class with the same style file as her resume and CV.
\documentclass[11pt,a4paper]{article}
\usepackage{cv-style}

\begin{document}
\cvheader{Kavya Iyer, cover letter}
\bigskip
\today

\medskip
Hiring committee\\
Example Climate Analytics\\
Bengaluru

\medskip
\textbf{Research scientist, rainfall data}

\medskip
Dear members of the committee,

I am applying for the post of research scientist in your rainfall data team. For five years I have worked with hourly
rain gauge records from tea estates in Assam: cleaning them, filling their gaps and turning them into the maps my
institute publishes every season.

At the Example Institute of Atmospheric Science I built the pipeline that cleans 4.2 million readings a year, and the
method behind it is in my paper on filling gaps in hourly records. I would bring the same care for messy field data to
your forecasting products.

Thank you for your time. I would be glad to talk about the post.

\bigskip
With best regards,\par
\medskip
Kavya Iyer
\end{document}