diff --git a/resume.tex b/resume.tex index e0473bb..17e9d96 100644 --- a/resume.tex +++ b/resume.tex @@ -108,21 +108,19 @@ \resumeItemListEnd \resumeSubHeadingListEnd -\begin{comment} %-----------EXPERIENCE----------------- \section{Work Experience} \resumeSubHeadingListStart \resumeSubheading - {Family Investment Office}{Plano, TX} - {Quantitative Analyst}{Q4 2024 -- Present} + {CoGuide (\href{https://coguide.ai}{coguide.ai})}{Austin, TX / Irving, TX / San Francisco, CA} + {Founding Engineer / Member of Technical Staff}{Jan 2026 -- Present} \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{Developed predictive models leveraging implied-volatility surfaces, realized variance, and skew metrics to identify dislocations and structure trades.} - \resumeItemNH{Built custom infrastructure in Rust and Python for backtesting, signal generation, risk metrics, and position management.} - \resumeItemNH{Managed exposure via delta-hedged structures, calendar spreads, and straddle/strangle plays, with automated alerts.} + \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{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{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{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 \resumeSubHeadingListEnd -\end{comment} %-----------PROJECTS-----------------