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VOL. III ︱ NO. 03
DALLAS, TX
SUNDAY, SEPTEMBER 27, 2026
Keshav · Raghavan
a personal manual, set throughout in Jost
PLATE 03
Curriculum Vitæ
PRICE — FREE
PLATE 03RESUME
Curriculum Vitæ
fig. 3 — A TYPESETTER’S RECORDSET IN JOST
CURRICULUM VITÆ | 2023 — PRESENT
Keshav Raghavan
Digital Software Intermediate Analyst · Citibank
Dallas, TX
me@keshavraghavan.com
github / keshavraghavan
linkedin / raghavankeshav
i.Experienceproduct & engineering
Digital Software Intermediate Analyst
Citibank | Dallas, TX
  • Shifted a Citi Fraud initiative in-house using Devin, cutting projected cost from $1.2M to $72K.
  • Translate business-raised defects into engineering-ready Jira requirements across mortgage and fraud.
  • Use Adobe Analytics and Glassbox to identify failure points in mortgage application journeys.
  • Routed Citi/Cenlar fixes across engineering teams, reducing client-platform downtime 15%.
  • Lead three engineers replacing MS Access fraud workflows with React and Spring Boot REST APIs.
  • Saved $300K annually by redesigning SQL Server archival for a mortgage repurchase platform.
  • Own 22 mortgage applications serving 800+ users across Citi Mortgage.
  • Built a reusable React library with isolated visual regression testing for safer UI releases.
  • Serve as Citi Mortgage's Devin SME, training 40+ analysts and engineers on AI-assisted workflows.
Mar 2024 — Present
Summer Analyst
Citibank | Dallas, TX
  • Mapped KYC workflows with compliance partners to define fraud-detection requirements.
  • Built screening logic to route politically exposed persons for enhanced due diligence.
  • Used Jest to validate KYC and fraud workflows against product requirements before release.
Jun 2023 — Aug 2023
ii.Projectsindependent work
1051 Studios
Independent Product Studio | Austin, TX
  • Won a City of Austin pitch competition with a municipal court chatbot concept.
  • Designed Austin Resource Recovery route optimization, projecting 30% lower pickup times.
  • Built a React Native CapMetro rider-flow redesign and presented it to Austin's CTM CIO.
Jun 2017 — Dec 2023
POSED
posed.dev
  • Interviewed 10+ thrift store owners and scoped an ML pricing MVP around real workflows.
  • Reduced item processing time 60% through batched requests and model quantization.
  • Built Next.js/TypeScript frontend plus Python APIs and async pricing, inventory, and feedback pipelines.
Nov 2025 — Present
Local Business Web Evaluator
Personal Project
  • Built a localhost pipeline with OSM, HTTP/HTML signals, Playwright, Ollama vision, and PostgreSQL.
  • Ranked ~2,300 Texas businesses using weighted site-quality, maturity, and local-visibility signals.
May 2026 — Present
iii.Educationformal study
Bachelor of Science, Computer Science
The University of Texas at Dallas | Richardson, TX
May 2024
iv.Skillspractice & tools

Product

  • Discovery
  • Requirements
  • Backlog Prioritization
  • User Stories
  • Jira
  • Stakeholder Coordination

Data & AI

  • SQL
  • Python
  • Product Analytics
  • Adobe Analytics
  • Glassbox
  • Devin AI

Technical

  • REST APIs
  • Java
  • Spring Boot
  • React
  • Next.js
  • TypeScript
  • Node.js
  • PostgreSQL
  • Microsoft SQL Server
fig. 3 z Set in 9/12 Jost with mono labels at 8 pt, tracked 18 units. The PDF above has the same contents; questions to me@keshavraghavan.com