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experience: add CoGuide role with linked CV miniproject

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2026-07-06 17:38:08 -05:00
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resume.tex
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@@ -108,21 +108,19 @@
\resumeItemListEnd \resumeItemListEnd
\resumeSubHeadingListEnd \resumeSubHeadingListEnd
\begin{comment}
%-----------EXPERIENCE----------------- %-----------EXPERIENCE-----------------
\section{Work Experience} \section{Work Experience}
\resumeSubHeadingListStart \resumeSubHeadingListStart
\resumeSubheading \resumeSubheading
{Family Investment Office}{Plano, TX} {CoGuide (\href{https://coguide.ai}{coguide.ai})}{Austin, TX / Irving, TX / San Francisco, CA}
{Quantitative Analyst}{Q4 2024 -- Present} {Founding Engineer / Member of Technical Staff}{Jan 2026 -- Present}
\resumeItemListStart \resumeItemListStart
\resumeItemNH{Engineered and executed medium-term volatility trading strategies across equity options and index derivatives, resulting in a 60\% portfolio return over one quarter.} \resumeItemNH{Build systems for an AI instructional-insight platform that turns real classroom audio into private coaching feedback for teachers and aggregate engagement trends for schools.}
\resumeItemNH{Developed predictive models leveraging implied-volatility surfaces, realized variance, and skew metrics to identify dislocations and structure trades.} \resumeItemNH{Designed and built the entire production backend in Rust ($\sim$30k-line codebase, closed source) and stood up the full AWS infrastructure, scaling the platform from zero product to deployments in 10+ schools.}
\resumeItemNH{Built custom infrastructure in Rust and Python for backtesting, signal generation, risk metrics, and position management.} \resumeItemNH{Engineered the audio transcription and speaker-diarization pipeline with custom CUDA fusion kernels and VAD-based batching on legacy NVIDIA T4 GPUs --- 2x the cost efficiency of market alternatives and 10x that of AWS Transcribe.}
\resumeItemNH{Managed exposure via delta-hedged structures, calendar spreads, and straddle/strangle plays, with automated alerts.} \resumeItemNH{Engineered a two-stage computer-vision pipeline (YOLOv8 person detection + upper-body pose estimation) detecting hand-raise engagement events in classroom video at $\sim$0.96x real-time on GPU, emitting annotated video and timestamped JSON/NDJSON event logs --- \href{https://git.cyber.ayyalasomayajula.net/marsultor/CoGuide-Miniproj}{open-source miniproject}; production work is closed source.}
\resumeItemListEnd \resumeItemListEnd
\resumeSubHeadingListEnd \resumeSubHeadingListEnd
\end{comment}
%-----------PROJECTS----------------- %-----------PROJECTS-----------------