diff --git a/miti99.typ b/miti99.typ deleted file mode 100644 index e391b05..0000000 --- a/miti99.typ +++ /dev/null @@ -1,407 +0,0 @@ -// Import the rendercv function and all the refactored components -#import "@preview/rendercv:0.1.0": * - -// Apply the rendercv template with custom configuration -#show: rendercv.with( - name: "miti99", - footer: context { [#emph[miti99 -- #str(here().page())\/#str(counter(page).final().first())]] }, - top-note: [ #emph[Last updated in Feb 2026] ], - locale-catalog-language: "en", - page-size: "us-letter", - page-top-margin: 0.7in, - page-bottom-margin: 0.7in, - page-left-margin: 0.7in, - page-right-margin: 0.7in, - page-show-footer: true, - page-show-top-note: true, - colors-body: rgb(0, 0, 0), - colors-name: rgb(0, 79, 144), - colors-headline: rgb(0, 79, 144), - colors-connections: rgb(0, 79, 144), - colors-section-titles: rgb(0, 79, 144), - colors-links: rgb(0, 79, 144), - colors-footer: rgb(128, 128, 128), - colors-top-note: rgb(128, 128, 128), - typography-line-spacing: 0.6em, - typography-alignment: "justified", - typography-date-and-location-column-alignment: right, - typography-font-family-body: "Source Sans 3", - typography-font-family-name: "Source Sans 3", - typography-font-family-headline: "Source Sans 3", - typography-font-family-connections: "Source Sans 3", - typography-font-family-section-titles: "Source Sans 3", - typography-font-size-body: 10pt, - typography-font-size-name: 30pt, - typography-font-size-headline: 10pt, - typography-font-size-connections: 10pt, - typography-font-size-section-titles: 1.4em, - typography-small-caps-name: false, - typography-small-caps-headline: false, - typography-small-caps-connections: false, - typography-small-caps-section-titles: false, - typography-bold-name: true, - typography-bold-headline: false, - typography-bold-connections: false, - typography-bold-section-titles: true, - links-underline: false, - links-show-external-link-icon: false, - header-alignment: center, - header-photo-width: 3.5cm, - header-space-below-name: 0.7cm, - header-space-below-headline: 0.7cm, - header-space-below-connections: 0.7cm, - header-connections-hyperlink: true, - header-connections-show-icons: true, - header-connections-display-urls-instead-of-usernames: false, - header-connections-separator: "", - header-connections-space-between-connections: 0.5cm, - section-titles-type: "with_partial_line", - section-titles-line-thickness: 0.5pt, - section-titles-space-above: 0.5cm, - section-titles-space-below: 0.3cm, - sections-allow-page-break: true, - sections-space-between-text-based-entries: 0.3em, - sections-space-between-regular-entries: 1.2em, - entries-date-and-location-width: 4.15cm, - entries-side-space: 0.2cm, - entries-space-between-columns: 0.1cm, - entries-allow-page-break: false, - entries-short-second-row: true, - entries-summary-space-left: 0cm, - entries-summary-space-above: 0cm, - entries-highlights-bullet: "•" , - entries-highlights-nested-bullet: "•" , - entries-highlights-space-left: 0.15cm, - entries-highlights-space-above: 0cm, - entries-highlights-space-between-items: 0cm, - entries-highlights-space-between-bullet-and-text: 0.5em, - date: datetime( - year: 2026, - month: 2, - day: 20, - ), -) - - -= miti99 - -#connections( - [#connection-with-icon("location-dot")[San Francisco, CA]], - [#link("mailto:john.doe@email.com", icon: false, if-underline: false, if-color: false)[#connection-with-icon("envelope")[john.doe\@email.com]]], - [#link("https://rendercv.com/", icon: false, if-underline: false, if-color: false)[#connection-with-icon("link")[rendercv.com]]], - [#link("https://linkedin.com/in/rendercv", icon: false, if-underline: false, if-color: false)[#connection-with-icon("linkedin")[rendercv]]], - [#link("https://github.com/rendercv", icon: false, if-underline: false, if-color: false)[#connection-with-icon("github")[rendercv]]], -) - - -== Welcome to RenderCV - -RenderCV reads a CV written in a YAML file, and generates a PDF with professional typography. - -See the #link("https://docs.rendercv.com")[documentation] for more details. - -== Education - -#education-entry( - [ - #strong[Princeton University], Computer Science - - - Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment - - - Advisor: Prof. Sanjeev Arora - - - NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022) - - ], - [ - Princeton, NJ - - Sept 2018 – May 2023 - - ], - degree-column: [ - #strong[PhD] - ], -) - -#education-entry( - [ - #strong[Boğaziçi University], Computer Engineering - - - GPA: 3.97\/4.00, Valedictorian - - - Fulbright Scholarship recipient for graduate studies - - ], - [ - Istanbul, Türkiye - - Sept 2014 – June 2018 - - ], - degree-column: [ - #strong[BS] - ], -) - -== Experience - -#regular-entry( - [ - #strong[Nexus AI], Co-Founder & CTO - - - Built foundation model infrastructure serving 2M+ monthly API requests with 99.97\% uptime - - - Raised \$18M Series A led by Sequoia Capital, with participation from a16z and Founders Fund - - - Scaled engineering team from 3 to 28 across ML research, platform, and applied AI divisions - - - Developed proprietary inference optimization reducing latency by 73\% compared to baseline - - ], - [ - San Francisco, CA - - June 2023 – present - - 2 years 9 months - - ], -) - -#regular-entry( - [ - #strong[NVIDIA Research], Research Intern - - - Designed sparse attention mechanism reducing transformer memory footprint by 4.2x - - - Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 5\% of submissions) - - ], - [ - Santa Clara, CA - - May 2022 – Aug 2022 - - 4 months - - ], -) - -#regular-entry( - [ - #strong[Google DeepMind], Research Intern - - - Developed reinforcement learning algorithms for multi-agent coordination - - - Published research at top-tier venues with significant academic impact - - - ICML 2022 main conference paper, cited 340+ times within two years - - - NeurIPS 2022 workshop paper on emergent communication protocols - - - Invited journal extension in JMLR (2023) - - ], - [ - London, UK - - May 2021 – Aug 2021 - - 4 months - - ], -) - -#regular-entry( - [ - #strong[Apple ML Research], Research Intern - - - Created on-device neural network compression pipeline deployed across 50M+ devices - - - Filed 2 patents on efficient model quantization techniques for edge inference - - ], - [ - Cupertino, CA - - May 2020 – Aug 2020 - - 4 months - - ], -) - -#regular-entry( - [ - #strong[Microsoft Research], Research Intern - - - Implemented novel self-supervised learning framework for low-resource language modeling - - - Research integrated into Azure Cognitive Services, reducing training data requirements by 60\% - - ], - [ - Redmond, WA - - May 2019 – Aug 2019 - - 4 months - - ], -) - -== Projects - -#regular-entry( - [ - #strong[#link("https://github.com/")[FlashInfer]] - - #summary[Open-source library for high-performance LLM inference kernels] - - - Achieved 2.8x speedup over baseline attention implementations on A100 GPUs - - - Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors - - ], - [ - Jan 2023 – present - - ], -) - -#regular-entry( - [ - #strong[#link("https://github.com/")[NeuralPrune]] - - #summary[Automated neural network pruning toolkit with differentiable masks] - - - Reduced model size by 90\% with less than 1\% accuracy degradation on ImageNet - - - Featured in PyTorch ecosystem tools, 4,200+ GitHub stars - - ], - [ - Jan 2021 - - ], -) - -== Publications - -#regular-entry( - [ - #strong[Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models] - - #emph[John Doe], Sarah Williams, David Park - - #link("https://doi.org/10.1234/neurips.2023.1234")[10.1234\/neurips.2023.1234] (NeurIPS 2023) - - ], - [ - July 2023 - - ], -) - -#regular-entry( - [ - #strong[Neural Architecture Search via Differentiable Pruning] - - James Liu, #emph[John Doe] - - #link("https://doi.org/10.1234/neurips.2022.5678")[10.1234\/neurips.2022.5678] (NeurIPS 2022, Spotlight) - - ], - [ - Dec 2022 - - ], -) - -#regular-entry( - [ - #strong[Multi-Agent Reinforcement Learning with Emergent Communication] - - Maria Garcia, #emph[John Doe], Tom Anderson - - #link("https://doi.org/10.1234/icml.2022.9012")[10.1234\/icml.2022.9012] (ICML 2022) - - ], - [ - July 2022 - - ], -) - -#regular-entry( - [ - #strong[On-Device Model Compression via Learned Quantization] - - #emph[John Doe], Kevin Wu - - #link("https://doi.org/10.1234/iclr.2021.3456")[10.1234\/iclr.2021.3456] (ICLR 2021, Best Paper Award) - - ], - [ - May 2021 - - ], -) - -== Selected Honors - -- MIT Technology Review 35 Under 35 Innovators (2024) - -- Forbes 30 Under 30 in Enterprise Technology (2024) - -- ACM Doctoral Dissertation Award Honorable Mention (2023) - -- Google PhD Fellowship in Machine Learning (2020 – 2023) - -- Fulbright Scholarship for Graduate Studies (2018) - -== Skills - -#strong[Languages:] Python, C++, CUDA, Rust, Julia - -#strong[ML Frameworks:] PyTorch, JAX, TensorFlow, Triton, ONNX - -#strong[Infrastructure:] Kubernetes, Ray, distributed training, AWS, GCP - -#strong[Research Areas:] Neural architecture search, model compression, efficient inference, multi-agent RL - -== Patents - -+ Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567) - -+ Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678) - -+ Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789) - -== Invited Talks - -#reversed-numbered-entries( - [ - -+ Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024) - -+ Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024) - -+ From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023) - -+ Efficient Deep Learning: A Practitioner's Perspective — Google Tech Talk (2022) - ], -) - -== Any Section Title - -You can use any section title you want. - -You can choose any entry type for the section: `TextEntry`, `ExperienceEntry`, `EducationEntry`, `PublicationEntry`, `BulletEntry`, `NumberedEntry`, or `ReversedNumberedEntry`. - -Markdown syntax is supported everywhere. - -The `design` field in YAML gives you control over almost any aspect of your CV design. - -See the #link("https://docs.rendercv.com")[documentation] for more details. diff --git a/miti99.yml b/miti99.yml index 9142c5c..8852c58 100644 --- a/miti99.yml +++ b/miti99.yml @@ -362,7 +362,7 @@ settings: png_path: NAME_IN_SNAKE_CASE.png dont_generate_markdown: false dont_generate_html: false - dont_generate_typst: false + dont_generate_typst: true dont_generate_pdf: false - dont_generate_png: false + dont_generate_png: true bold_keywords: [] diff --git a/miti99_1.png b/miti99_1.png deleted file mode 100644 index b7eee62..0000000 Binary files a/miti99_1.png and /dev/null differ diff --git a/miti99_2.png b/miti99_2.png deleted file mode 100644 index 80cbceb..0000000 Binary files a/miti99_2.png and /dev/null differ diff --git a/miti99_3.png b/miti99_3.png deleted file mode 100644 index 3f8d239..0000000 Binary files a/miti99_3.png and /dev/null differ