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Divyam Ahuja 2026-05-24 04:53:48 +05:30
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commit 00ac4fc0a2
4 changed files with 1212 additions and 1143 deletions

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@ -3,10 +3,8 @@ title: "About"
description: "About Divyam Ahuja" description: "About Divyam Ahuja"
--- ---
Hi, I'm a software engineer who loves building things. I enjoy hacking on side projects, exploring new technologies, and deep-diving into the technical details of how things work. Hi, I'm a software engineer who loves building things. I enjoy hacking on side projects, exploring new technologies, and deep-diving into how things work under the hood.
I like working on performance-critical systems software, with a particular interest in low-level systems, operating systems, and compilers. My interests lean toward performance-critical systems — low-level programming, operating systems, compilers, and protocols. I also spend a lot of time tinkering with infrastructure and performance optimization.
I enjoy hacking on things and deep diving into the technical details of protocols, performance optimization, and algorithms.
If you want to see what I've been working on, check out my [GitHub](https://github.com/ahujadivyam) or [Git](https://git.divyam.dev). Feel free to reach out by [email](mailto:divyam@divyam.dev). If you want to see what I've been working on, check out my [GitHub](https://github.com/ahujadivyam) or [Git](https://git.divyam.dev). Feel free to reach out by [email](mailto:divyam@divyam.dev).

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@ -29,17 +29,18 @@ experience:
end: Present end: Present
stack: stack:
- Python - Python
- JavaScript
- TypeScript - TypeScript
- React
- Azure OpenAI
- Claude Code
- Copilot
- Playwright - Playwright
- Telemetry
bullets: bullets:
- "Build, evaluate, and enhance AI-powered user experiences for the Excel Copilot team." - "Owned the end-to-end Responsible AI (RAI) evaluation pipeline, executing critical harms assessments to gate model releases. Engineered custom retry mechanisms and architectural optimizations, reducing average pipeline execution time by **50%**."
- "Architected a parallelized automation framework for synthetic data generation and evaluation, boosting pipeline throughput by **5x**." - "Engineered an automated synthetic data generation framework using LLMs, generating **70,000+** diverse queries and multi-step interaction trajectories across **20,000+** real-world Excel workbooks to power large-scale model evaluation pipelines."
- "Orchestrated the Responsible AI (RAI) pipeline, executing evaluation runs on new models to guarantee safe and deterministic AI outputs." - "Served as on-call Shield Engineer, owning incident triage and partner bug resolution across AI evaluation pipelines—maintaining **>95%** uptime by engineering comprehensive telemetry dashboards with an adjacent team."
- "Acted as on-call Shield Engineer, monitoring pipeline health, triaging partner issues, and driving incident response for critical bugs." - "Accelerated engineering velocity by building LLM-based agents for automated bug triage, PR summarization, and reviewer assignment."
- "Integrated comprehensive telemetry, structured logging, and observability dashboards into pipelines to maintain **>95%** reliability." - "Shipped high-impact performance optimizations and accessibility fixes directly to the core Microsoft Excel product."
- "Engineered autonomous AI agents to automate repetitive tasks and optimize workflow efficiency."
- company: Advanced Micro Devices (AMD) - company: Advanced Micro Devices (AMD)
role: System Software Designer role: System Software Designer
@ -47,19 +48,16 @@ experience:
start: Aug 2022 start: Aug 2022
end: Feb 2025 end: Feb 2025
stack: stack:
- C - C/C++
- C++ - Java (OpenJDK)
- Java
- Python - Python
- React.js - Django
- JavaScript - React
- SQLite
bullets: bullets:
- "Engineered an OpenJDK performance monitoring system, enabling early detection and mitigation of performance degradation." - "Engineered a visualization dashboard and RESTful API for OpenJDK telemetry, increasing internal data accessibility by **40%**."
- "Spearheaded the development of a visualization dashboard and RESTful API for OpenJDK telemetry, increasing data accessibility by **40%**." - "Automated nightly Java benchmarking and tuning pipelines using machine learning models, achieving a **30%** reduction in manual effort and earning the **Spotlight Award**."
- "Automated nightly Java benchmarking and tuning using machine learning models, achieving a **30%** reduction in manual effort." - "Optimized JVM flags, GC policies, and runtime parameters for OpenJDK on High Performance Computing (HPC) servers, achieving a **2%** throughput improvement on SPECjbb benchmarks."
- "Executed advanced Java tuning techniques, yielding a **2%** performance increase across High Performance Computing (HPC) servers."
- "Refactored and containerized legacy projects for cross-platform compatibility, driving a **90%** reduction in deployment errors."
- "Received the **Spotlight Award** for exceptional contributions to automation and nightly benchmark visualization."
- company: Chromium - company: Chromium
role: Google Summer of Code Contributor (Open Source Developer) role: Google Summer of Code Contributor (Open Source Developer)
@ -67,56 +65,53 @@ experience:
start: May 2022 start: May 2022
end: Aug 2022 end: Aug 2022
stack: stack:
- JavaScript
- TypeScript
- C
- C++ - C++
- WebAudio - JavaScript/TypeScript
- WebAssembly - WebAssembly
- WebAudio
- WebWorkers - WebWorkers
bullets: bullets:
- "Researched and implemented optimal design patterns integrating the WebAudio API with WebAssembly and WebWorkers." - "Engineered a high-performance, lock-free C++ ring buffer library for real-time audio processing, establishing optimal design patterns to integrate the WebAudio API with WebAssembly and WebWorkers."
- "Designed and authored a high-performance, lock-free ring buffer library for real-time audio processing."
links:
- display: "github.com/ahujadivyam/gsoc-chromium-freequeue"
url: "https://github.com/ahujadivyam/gsoc-chromium-freequeue"
skills: skills:
- type: Programming Languages - type: Programming Languages
items: items:
- C/C++ - C/C++
- Python - Python
- JavaScript/TypeScript
- Java
- Go (Golang) - Go (Golang)
- Java
- JavaScript/TypeScript
- Bash - Bash
- PHP - type: AI & Data
- type: Frameworks items:
- PyTorch
- Azure OpenAI
- Antigravity
- Pandas
- NumPy
- Claude Code
- type: Backend & Web
items: items:
- React.js
- Next.js
- Express.js
- Django
- Flask
- Node.js - Node.js
- type: Tools/Platforms - Django/Flask
- React/Next.js
- gRPC
- Playwright
- type: Infrastructure & Systems
items: items:
- Git
- Docker
- Emscripten
- UNIX
- Linux
- POSIX
- Shell
- Kubernetes - Kubernetes
- Docker
- Linux/POSIX
- WebAssembly - WebAssembly
- WordPress - WireGuard
- CI/CD
- type: Databases - type: Databases
items: items:
- MySQL
- MongoDB
- PostgreSQL - PostgreSQL
- Redis - Redis
- MySQL
- SQLite
- MongoDB
projects: projects:
- name: "fastbin: a code sharing webapp" - name: "fastbin: a code sharing webapp"
@ -127,6 +122,8 @@ projects:
- PostgreSQL - PostgreSQL
- Docker - Docker
- Kubernetes - Kubernetes
bullets:
- "Pastebin-style app with a Go backend, gRPC service layer, and Kubernetes deployment."
links: links:
- display: "git.divyam.dev/divyam/fastbin" - display: "git.divyam.dev/divyam/fastbin"
url: "https://git.divyam.dev/divyam/fastbin" url: "https://git.divyam.dev/divyam/fastbin"
@ -140,6 +137,8 @@ projects:
- Kubernetes - Kubernetes
- Rancher - Rancher
- MetalLB - MetalLB
bullets:
- "Self-hosted Kubernetes cluster with WireGuard tunnel to a public VPS for secure external access."
education: education:
- school: Deenbandhu Chhotu Ram University of Science and Technology - school: Deenbandhu Chhotu Ram University of Science and Technology
@ -149,7 +148,7 @@ education:
end: Aug 2022 end: Aug 2022
certifications: certifications:
- name: "MITx 6.86x: Machine Learning with Python-From Linear Models to Deep Learning" - name: "MITx 6.86x — Machine Learning with Python: Linear Models to Deep Learning"
url: "https://courses.edx.org/certificates/52e99c3c32d8470b9761c8327c4417ca" url: "https://courses.edx.org/certificates/52e99c3c32d8470b9761c8327c4417ca"
- name: "CS50AI: CS50's Introduction to Artificial Intelligence with Python" - name: "CS50AI: CS50's Introduction to Artificial Intelligence with Python"
url: "https://courses.edx.org/certificates/686aaef0b47e438ba5ebd040e0f0b5fd" url: "https://courses.edx.org/certificates/686aaef0b47e438ba5ebd040e0f0b5fd"

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@ -3,9 +3,9 @@
#let data = yaml("../data/resume.yaml") #let data = yaml("../data/resume.yaml")
#set page(paper: "a4", margin: (x: 0.5in, y: 0.4in)) #set page(paper: "a4", margin: (x: 0.5in, y: 0.35in))
#set document(title: data.name + "'s Resume", author: data.name) #set document(title: data.name + "'s Resume", author: data.name)
#set par(leading: 0.5em) #set par(leading: 0.55em)
#set text(font: "Source Sans 3", size: 10pt) #set text(font: "Source Sans 3", size: 10pt)
#set underline(offset: 2.5pt) #set underline(offset: 2.5pt)
#show heading: set text(weight: "semibold") #show heading: set text(weight: "semibold")
@ -107,7 +107,7 @@
// --- Header --- // --- Header ---
#text(size: 28pt, weight: "semibold")[#data.name] \ #text(size: 28pt, weight: "semibold")[#data.name] \
#v(9pt, weak: true) #v(9pt, weak: true)
#text(size: 14pt)[#data.role] #text(size: 14pt)[Systems & Software Engineer]
// Contact links — first row // Contact links — first row
#linksBar(( #linksBar((
@ -155,6 +155,9 @@
= Projects = Projects
#for p in data.projects { #for p in data.projects {
project(name: p.name, stack: p.at("stack", default: ()))[ project(name: p.name, stack: p.at("stack", default: ()))[
#for bullet in p.at("bullets", default: ()) {
[- #md(bullet)]
}
#let links = p.at("links", default: ()) #let links = p.at("links", default: ())
#if links.len() > 0 { #if links.len() > 0 {
[- #links.map(l => underline(link(l.url)[#l.display])).join(", ")] [- #links.map(l => underline(link(l.url)[#l.display])).join(", ")]
@ -173,3 +176,9 @@
end: edu.end, end: edu.end,
)[] )[]
} }
// --- Certifications ---
= Certifications
#for cert in data.certifications {
[- #underline(link(cert.url)[#cert.name])]
}

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