minor changes

Author: hsanchez

posts/notes/_posts/2017-02-01-cv.md

@@ -93,10 +93,7 @@ hidden: true
     large-scale software systems for "Big Code" analytics and programming language processing,
     with deep knowledge of AI/ML applications to source code analysis
     and coding automation. Strong background in building compound AI systems, with a special focus
-    on multi-LLM collaboration and LLMs chemistry estimation for data processing, knowledge extraction,
-    information prediction, and source code analysis tasks. Skilled in
-    prototyping novel solutions, solving complex technical problems, communicating across
-    technical and non-technical audiences, and leading interdisciplinary teams in
+    on multi-LLM collaboration, LLMs chemistry estimation, and multi-LLM consensus for uncertainty quantification, data processing, knowledge extraction, information prediction, and source code analysis tasks. Skilled in prototyping novel solutions, solving complex technical problems, communicating across technical and non-technical audiences, and leading interdisciplinary teams in
     both research and applied domains.</span>
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@@ -154,7 +151,7 @@ hidden: true
         <div class="year">2025 &ndash; now</div>
         <div class="item">
             <span class="bold"><a href="https://arxiv.org/abs/2510.03930">Reliable Multi-AI Collaboration</a></span> (Team: SRI) <br />
-            <span class="deemph">Leading the development of a framework for optimizing multi-LLM collaboration in complex compound AI tasks by estimating LLM chemistry&mdash;to enable the formation of efficient, effective, and stable LLM ensembles.</span>
+            <span class="deemph">Leading the development of a framework for optimizing multi-LLM collaboration in complex compound AI tasks by estimating LLM chemistry&mdash;and incorporating Bayes-driven consensus mechanisms for uncertainty quantification to enable the formation of efficient, effective, and stable LLM ensembles.</span>
         </div>
     </div>
     <div class="entry">
@@ -175,7 +172,7 @@ hidden: true
         <div class="year">2024 &ndash; now</div>
         <div class="item">
             <span class="bold"><a href="https://arpa-h.gov/research-and-funding/programs/digiheals">ARPA-H DIGIHEALS</a></span> (Team: SRI, Confidencial Inc., Homeward Health) <br />
-            <span class="deemph">Advancing automatic generation of formal representations from natural language, and leading the development of multi-LLM workflows for healthcare data analysis, formalization, and composition.</span>
+            <span class="deemph">Advancing the automatic generation of formal representations from natural language using neuro-symbolic AI, and leading the development of multi-LLM workflows for healthcare data analysis, formalization, and composition.</span>
         </div>
     </div>
     <div class="heading">Previous projects<sup>*</sup></div>
@@ -714,7 +711,7 @@ hidden: true
 </div>
 <div class="section">
   <div class="heading" id="software">Software Development<sup>*</sup></div>
-  <div class="footnote">* Some projects above are private on GitHub; please contact me for access.</div>
+  <div class="footnote">* Some projects listed above are private on GitHub; please contact me for access details.</div>
   <div class="subheading">Committer</div>
   <div class="entry">
     <div class="item">