resume latex

resume_latex.txt

%-------------------------
% Resume in Latex
% Author : Aryan Kathawale
% Based off of: https://github.com/sb2nov/resume
% License : MIT
%------------------------

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% Custom commands
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\newcommand{\resumeItemListEnd}{\end{itemize}\vspace{-5pt}}

%-------------------------------------------
%%%%%%  RESUME STARTS HERE  %%%%%%%%%%%%%%%%%%%%%%%%%%%%


\begin{document}

%----------HEADING----------
\begin{tabular*}{\textwidth}{l@{\extracolsep{\fill}}r}
  \textbf & Email : \href{mailto:kathawalearyan9@gmail.com}{kathawalearyan9@gmail.com}\\
  \href{https://aryank.space}{https://aryank.space} & Mobile : +91-8421-911-353 \\
\end{tabular*}

\begin{center}
    \textbf{\Huge \scshape Aryan Kathawale} \\ \vspace{1pt}
    \small
    \href{https://linkedin.com/in/kiritocode1}{\underline{linkedin.com/in/kiritocode1}} $|$
    \href{https://github.com/kiritocode1}{\underline{github.com/kiritocode1}}
\end{center}

%-----------ABOUT ME-----------

\small
Backend and platform-focused engineer with 4+ years of experience building performance-sensitive systems, edge infrastructure, and production-grade web applications. Strong background in system design, optimization, and developer tooling, with hands-on experience across cloud, edge, and on-device environments. Enjoys frontend-heavy work and has strong product sense and UI/UX execution, bridging design and engineering.

%
%-----------PROGRAMMING SKILLS-----------
%-----------TECHNICAL SKILLS-----------
\section{Technical Skills}
\begin{itemize}[leftmargin=0.15in, label={}]
  \small{\item{
    \textbf{Languages}{: TypeScript, Go, Python, Rust, C, SQL} \\

    \textbf{Backend \& Platform}{: Node.js, Hono, Fastify, Express, Serverless Architectures, Edge Computing} \\

    \textbf{Frontend}{: React, Next.js, React Native, Expo} \\

    \textbf{Cloud \& Infrastructure}{: AWS (Lambda, API Gateway, S3), Cloudflare Workers, Docker} \\

    \textbf{Data \& Messaging}{: PostgreSQL, MongoDB, Redis, Kafka, RabbitMQ} \\

    \textbf{AI / ML Systems}{: ONNX Runtime, WebGPU, TensorFlow, PyTorch, LLM Integration} \\

    \textbf{Tooling \& DevEx}{: Git, pnpm, Bun, Deno, Tailwind CSS, Figma}
  }}
\end{itemize}


%-------------------------------------------



%-----------EXPERIENCE-----------
\section{Experience}
  \resumeSubHeadingListStart


\resumeSubheading
  {Senior Full-Stack Engineer}{Sept 2025 -- Present}
  {Dreamcare Developers LLC}{Pune, India}
  \resumeItemListStart
    \resumeItem{Led a re-architecture of the frontend and backend stack into a \textbf{pnpm-based monorepo}, enabling shared components across multiple government-facing applications, including sites for the Maharashtra Police Department.}
    \resumeItem{Designed and built an internal component registry inspired by \textbf{shadcn/ui}, enforcing \textbf{UX4G} accessibility and performance guidelines across teams.}
    \resumeItem{Reworked backend services using \textbf{Hono} and \textbf{Convex} to better support evolving requirements from government intelligence and public-sector stakeholders.}
    \resumeItem{Reduced end-to-end development complexity and review overhead, cutting average pull request turnaround time by \textbf{~50\%}.}
  \resumeItemListEnd




\resumeSubheading
  {Full-Stack Engineer}{Aug 2022 -- Sept 2025}
  {AxiaNext LLC}{Kyoto, Japan (Remote)}
  \resumeItemListStart
    \resumeItem{Designed and owned a production-grade web data extraction platform in \textbf{TypeScript} using \textbf{Puppeteer}, supporting multiple configurable sources with retry and recovery pipelines.}
    \resumeItem{Engineered fault-tolerant scraping workflows including proxy rotation, CAPTCHA handling, adaptive selectors, backoff strategies, and DOM diffing, achieving \textbf{~90\% extraction accuracy} across unstable third-party sites.}
    \resumeItem{Reduced manual research and data collection effort by \textbf{~40\%}, unblocking downstream analytics and operations teams.}
    \resumeItem{Acted as the primary engineer responsible for reliability, debugging, and rapid iteration as upstream sites frequently changed.}
    \resumeItem{Worked on authentication, data access, and API integration for a \textbf{React Native} mobile application consuming the same multi-tenant backend services.}
    \resumeItem{Participated in production testing, monitoring, and iterative rollouts, debugging issues across backend services, cloud infrastructure, and mobile clients.}
  \resumeItemListEnd









  

      
% -----------Multiple Positions Heading-----------
%    \resumeSubSubheading
%     {Software Engineer I}{Oct 2014 - Sep 2016}
%     \resumeItemListStart
%        \resumeItem{Apache Beam}
%          {Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines}
%     \resumeItemListEnd
%    \resumeSubHeadingListEnd
%-------------------------------------------

\resumeSubheading
  {Backend Engineer (Intern)}{May 2021 -- Dec 2021}
  {Yottalligent}{Mumbai / Remote, India}
  \resumeItemListStart
    \resumeItem{Worked on backend services for a multi-tenant e-commerce platform, supporting isolated tenants, shared infrastructure, and configurable business logic.}
    \resumeItem{Contributed to migrating production APIs from \textbf{GraphQL} to \textbf{JSON-RPC}, simplifying request flows, improving runtime reliability, and reducing client--server coupling.}
    \resumeItem{Built and optimized asynchronous \textbf{Node.js} workflows and service initialization paths, improving backend performance and developer iteration speed.}
    \resumeItem{Refactored selected performance-critical backend components into \textbf{Go}, reducing compilation times by \textbf{~25\%} for those services.}
    \resumeItem{Deployed and operated backend services on \textbf{AWS} using a serverless architecture (\textbf{Lambda}, \textbf{API Gateway}, \textbf{S3}), gaining hands-on experience with production cloud infrastructure.}
  \resumeItemListEnd

%-----------PROJECTS-----------
\section{Projects}
    \resumeSubHeadingListStart
%------------------------- Projects ----------------------------



\resumeProjectHeading
{\href{https://voices.aryank.space/}{\textbf{Voices - On-Device TTS}} $|$ \emph{ONNX Runtime, WebGPU, TypeScript/JavaScript, Custom Quantized Models}}{2025}
\resumeItemListStart
\resumeItem{Developed a lightning-fast, fully on-device text-to-speech system running locally with zero cloud dependency, ensuring complete privacy and no API calls.}
\resumeItem{Achieved extreme performance via ONNX Runtime optimizations and quantization: 12,164 tokens/s on RTX 4090, 2,509 on M4 Pro WebGPU, 1,263 on M4 Pro CPU.}
\resumeItem{Outperformed existing solutions (Flash v2.5: 287, TTS-1: 82, Gemini 2.5 Flash TTS: 24) in low-latency, edge inference scenarios.}
\resumeItem{Targeted real-time, privacy-first TTS for consumer devices (desktops, laptops, mobiles) with minimal computational overhead.}
\resumeItemListEnd


\resumeProjectHeading
{\href{https://github.com/BLANKSPACETS/blank-lb}{\textbf{blank-lb: Cloudflare Workers Load Balancer}} $|$ \emph{Cloudflare Workers, TypeScript, Effect-TS}}{2025}
\resumeItemListStart
\resumeItem{Created a type-safe, composable load balancer library running entirely on Cloudflare's edge network, avoiding reliance on vendor-specific enterprise features.}
\resumeItem{Implemented advanced routing strategies: round-robin, geo-steering (continent/country/region/colo), health-based, failover with multiple recovery modes (fail-forward, async-block, promise-any).}
\resumeItem{Added observability via custom response headers (X-Load-Balancer-*) for endpoint, latency, retry count, plus support for canary releases, blue-green deployments, and sticky sessions.}
\resumeItem{Engineered routing and failover logic to operate within Cloudflare Workers’ CPU and cold-start constraints, favoring fast decision paths and minimal per-request overhead.}
\resumeItemListEnd



\resumeProjectHeading
{\href{https://better-pdf-reader.vercel.app/}{\textbf{Better PDF Reader}} $|$ \emph{Next.js, React, TypeScript, shadcn/ui,  Biome, Indexed-DB}}{2026}
\resumeItemListStart
\resumeItem{Built a performance-focused PDF reading platform with client-side analytics capturing reading time, session behavior, and interaction patterns.
}

\resumeItem{ Designed a lazy-loaded PDF rendering and indexing pipeline that initializes in under 100ms regardless of document size, enabling fast first interaction and predictable client-side performance.
}
\resumeItemListEnd













    \resumeSubHeadingListEnd

%-----------EDUCATION-----------
\section{Education}
  \resumeSubHeadingListStart
    \resumeSubheading
      {Sinhgad College Of Engineering}{Pune, Maharashtra}
      {Bachelor of Engineering in Computer Science, Major in Machine Learning,  }{\textbf{7.64 GPA}}
  \resumeSubHeadingListEnd



\end{document}