Amankumarsingh

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%   The MIT License (MIT)
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\begin{document}

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% ---------- HEADER ----------
\begin{tabularx}{\linewidth}{@{} C @{}}
\Huge{Aman Kumar Singh} \\[7.5pt]
\href{https://github.com/iamansingh0}{\raisebox{-0.05\height}\faGithub\ github.com/iamansingh0} \ $|$ \ 
\href{https://www.linkedin.com/in/aman-kumar-singh-08b2b220b/}{\raisebox{-0.05\height}\faLinkedin\ linkedin.com/in/AmanKumar} \ $|$ \ 
\href{mailto:amanks2205@gmail.com}{\raisebox{-0.05\height}\faEnvelope\ amanks2205@gmail.com} \ $|$ \ 
\href{tel:+91-7355197337}{\raisebox{-0.05\height}\faMobile\ 7355197337} \\
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% ---------- SUMMARY ----------
\section*{Summary}
PD1-certified Salesforce Developer with hands-on experience in LWC, Apex, REST APIs, and large-data processing. Skilled in optimizing governor limits, building modular component architectures, and strengthening CI/CD pipelines. Focused on secure integrations, scalable designs, and measurable performance improvements across applications.

% ---------- EDUCATION ----------
\section*{Education}
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\textbf{Vellore Institute of Technology, Chennai} & Sep 2020 -- Aug 2024 \\
B.Tech in Computer Science Engineering & CGPA: 9.1 \\
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% ---------- CERTIFICATIONS ----------
\section*{Certifications}
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    \item Salesforce Certified Platform Developer I (PD1), 2025 \hfill \href{https://www.salesforce.com/trailblazer/iamansingh0}{\small View}
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% ---------- EXPERIENCE ----------
\section*{Work Experience}

\begin{joblong}{Software Developer — TVS Credit Services, Chennai}{Jul 2024 -- Present}
\item Built a reusable LWC component library using @wire + LDS, reducing code duplication and cutting rework time by 20\%.
\item Spearheaded a scalable Knowledge Base in LWC using indexed SOQL and caching, reducing customer query resolution time by 80\%.
\item Engineered robust Batch Apex processes for LDV operations, decreasing nightly processing errors by 40\% and improving data synchronization accuracy across Salesforce by 25\%.
\item Implemented secure REST integrations with SAP/Mule, lowering sync failures by 30\%.
\item Enhanced GitLab CI/CD with Checkmarx and SonarQube checks, reducing deployment issues by 35\%.
\end{joblong}

\begin{joblong}{Graduate Engineer Trainee — TVS Credit Services, Chennai}{Feb 2024 -- May 2024}
\item Automated processes using Apex and Flows, reducing manual effort by 40\%.
\item Designed REST integrations with dedupe logic and structured error handling, cutting data inconsistencies by 25\%.
\item Optimized Apex and LWC implementations for governor limit compliance, reducing CPU time by 30\%.
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% ---------- SKILLS ----------
\section*{Skills}
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\textbf{Salesforce Development:} & Apex (Batch, Queueable), LWC, Triggers, SOQL/SOSL, Flows, Platform Events, Integration Patterns, LDV Handling, Security (CRUD/FLS). \\
\textbf{Integrations:} & REST APIs, SAP/Mule callouts, OAuth2, Error handling. \\
\textbf{DevOps \& Tools:} & SFDX CLI, GitLab CI/CD, Git, Checkmarx, SonarQube, VS Code, Postman. \\
\textbf{Web \& Backend:} & JavaScript (ES6+), TypeScript, React, Node.js, MongoDB, SQL. \\
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% ---------- PROJECTS ----------
\section*{Projects}

% ----- Knowledge Base -----
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\textbf{Knowledge Base} \\
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    \item Deployed a unified Knowledge Base in Salesforce LWC for call center executives, streamlining access to loan product related articles.  
\item Reduced average call center TAT by 25\% resulting in lower call drop rates.  
\item Trained over 50 support agents on the new Knowledge Base workflows and LWC interface, improving overall team efficiency.  

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% ----- AscendAI -----
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\textbf{AscendAI — AI Career Coach} & \href{https://ascend-ai-rho.vercel.app/}{Link} \\
\multicolumn{2}{@{}X@{}}{\small\textit{React, TypeScript, Node.js, PostgreSQL, Gemini API, Shadcn UI}} \\
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    \item Orchestrated a full-stack AI career assistant with modular React architecture, reducing development complexity.
    \item Integrated Gemini AI for personalized guidance, increasing user engagement.
    \item Developed a quiz engine with real-time scoring, improving assessment accuracy by 40\%.
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\section*{Publications}
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    \item
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        \textbf{U-Net Inspired Deep Neural Network-Based Smoke Plume Detection in Satellite Images} \\
        Published in \textit{Computers, Materials \& Continua (CMC)}, SCIE Indexed, Impact Factor: 3.1, 2024
        & \href{https://www.techscience.com/cmc/v79n1/56308}{\small View} \\
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