resume: fix typos; widen the resume_eval ignore

Fixes pscyhology -> psychology and creativiy -> creativity (both
rendered), and San Franisco -> San Francisco in a commented-out address.

Widens the resume_eval ignore rules to a glob so versioned variants
(resume_eval_v2.*) are covered too -- the literal rules missed them in a
public repo.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012eYUvM2s6Zpqqmuhfrbpog

Author: shabtastic

.gitignore

@@ -32,8 +32,9 @@ shabnam-hakimi-resume.pdf
 shabnam-hakimi-resume-e.pdf
 shabnam-hakimi-cv-i.pdf
 
-# Scratch/comparison resume draft — not a build target.
-resume_eval.tex
+# Scratch/comparison resume drafts — not build targets.
+# Glob so versioned variants (resume_eval_v2.*, etc.) are covered too.
+resume_eval*
 
 # Python
 __pycache__/

resume.tex

@@ -25,7 +25,7 @@
 %-------------------------------------------------------------------------------
 \name{Shabnam}{Hakimi, Ph.D.}
 % \position{Senior Research Scientist{\enskip\cdotp\enskip}Human-Centered AI}
-% \address{San Franisco, CA}
+% \address{San Francisco, CA}
 \mobile{+1 626-536-4642}
 \email{mail@shabnamhakimi.com}
 \homepage{shabnamhakimi.com}
@@ -52,7 +52,7 @@
       \begin{cvitems}
         \item Lead research and development of novel AI and machine learning methods for consumer demand forecasting, employing GAN   and VAE architectures. Demonstrate improved forecasting accuracy for innovative products under high uncertainty, impacting \$MM business decision making.
         \item Leverage theory- and data-driven approaches to design new methods for consumer preference elicitation and test at scale; model behavioral and physiological preference data jointly with text responses to develop new, transformer-based natural language processing methods for analyzing sparse consumer language.  
-        \item Conduct frontier human-centered AI research using LLM, VLM, and diffusion models to develop psychological guidance methods for generative AI. Architect human-aligned AI intervention generation system driven by pscyhology and neuroscience. Test causal impact of generative AI interventions on human creativiy and decision making.
+        \item Conduct frontier human-centered AI research using LLM, VLM, and diffusion models to develop psychological guidance methods for generative AI. Architect human-aligned AI intervention generation system driven by psychology and neuroscience. Test causal impact of generative AI interventions on human creativity and decision making.
         \item Lead large, multi-site projects with cross-functional teams comprising 5-15 people. Define project scope, objectives, and deliverables; manage budgets and maintain alignment with business goals to ensure project success; proactively identify risks and develop mitigation strategies. 
         \item Communicate research results to diverse industry and academic stakeholders. Generate patentable IP; publish scientific articles in top-tier journals and conferences. \textit{Ad hoc} reviewer for scientific journals.
       \end{cvitems}