Resume
Let’s talk about my resume
Created with 🤍 by Sannidhya Dubey
Resume
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\begin{document}
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\begin{center}
{\Huge\textbf{Sannidhya Dubey}}\\[0.5em]
+91 7800662685 | \href{mailto:sannidhyadubey@gmail.com}{sannidhyadubey@gmail.com} | \href{https://github.com/TheGuyDangerous}{\faGithub\ @TheGuyDangerous} | \href{https://www.linkedin.com/in/sannidhyadubey}{\faLinkedin\ /sannidhyadubey}
\end{center}
\section{EDUCATION}
\educationentry{Vellore Institute of Technology}{Bhopal, Madhya Pradesh}{Bachelor of Technology in Computer Science and Engineering \hfill Aug 2021 – May 2025}{with specialization in Artificial Intelligence and Machine Learning}{CGPA: 8.52}
\vspace{-0.5em} % Remove extra space before next section
\section{PROJECTS}
\workentry{SALES AI — Automated Lead Generation CRM}{December 2024}
\vspace{-0.3em}
\begin{itemize}
\item Engineered powerful web scrapers using Selenium and Scrapy to automate extraction of job postings from platforms like Glassdoor and Dice, processing over 10000+ entries daily.
\item Developed an AI agent that generates personalized email content for leads collected from scraped job postings, increasing sales team's efficiency by over 40\%.
\item Implemented a multi-engine, multi-threaded scraper that autonomously discovers and extracts company email addresses from various web sources with over 85\% accuracy.
\item Integrated the MillionVerifier API to validate email addresses, reducing bounce rates by 60\%.
\item Automated the entire CRM workflow from lead generation to email outreach, reducing manual effort by 20\%.
\end{itemize}
\workentry{\href{https://github.com/TheGuyDangerous/Freelexity}{FREELEXITY — Open Source Answer Engine \faLink}}{March 2024}
\vspace{-0.3em}
\begin{itemize}
\item Engineered a Flutter-based answer engine with Brave Search and Groq APIs integration achieving 95\% accuracy.
\item Implemented voice search and web scraping using Dart, boosting user engagement metrics by 45\% monthly.
\item Leveraged local storage system and AI-powered summarization feature delivering 90\% content relevance score.
\item Established CI/CD pipeline with GitHub Actions for automated Android builds with 100\% deployment success.
\item Crafted Material Design dark-themed UI improving user experience metrics and accessibility by 40\%.
\item Integrated image search and related questions system expanding query resolution capabilities by 60\% overall.
\end{itemize}
\workentry{\href{https://github.com/TheGuyDangerous/OuterTune}{OuterTune — Material 3 YouTube Music Client \faLink}}{January 2023}
\vspace{-0.3em}
\begin{itemize}
\item Developed a Material 3 music player application integrating both YouTube Music and local audio playback.
\item Integrated synchronized lyrics functionality supporting LRC format with multi-line capabilities.
\item Engineered an innovative metadata extraction system using FFmpeg libraries that correctly processes complex audio tags, improving accuracy by 40\% over standard MediaStore.
\item Created an audio synchronization system enabling full account integration with cloud services.
\item Optimized audio processing to enable seamless playback of local and streaming content simultaneously.
\end{itemize}
\workentry{\href{https://github.com/TheGuyDangerous/VOICERRA}{VOICERRA — AI-Powered Audio Transcription and Translation \faLink}}{November 2022}
\vspace{-0.3em}
\begin{itemize}
\item Architected a Flutter app with speech-to-text features using Dart, integrating Google Cloud's Natural Language Processing module and achieving 90\% accuracy.
\item Integrated language translation features with 90\% accuracy, leveraging REST APIs with cross-language abilities.
\item Implemented advanced audio signal processing techniques including noise reduction filters and frequency spectrum analysis to improve voice recognition in varying acoustic environments.
\item Developed a real-time audio visualization system using FFT (Fast Fourier Transform) to display waveforms and frequency spectra, enhancing the user experience for monitoring audio quality.
\item Designed a custom audio fingerprinting algorithm that improved musical content detection by 45\%, enabling more accurate timestamp synchronization for transcription of songs and musical passages.
\end{itemize}
\workentry{AI-Powered Music Enhancer — Generative AI Music Tool}{December 2021}
\vspace{-0.3em}
\begin{itemize}
\item Developed a Next.js-based application that enhances and modifies music tracks using custom models trained on public MIDI datasets, supporting WAV, MP3, and MP4 formats.
\item Implemented audio quality enhancement using processing tools like Librosa, Spleeter, and custom built libraries.
\item Trained audio generation models on Musical Transformer achitecture to create AI-generated harmonies and style adaptations, enabling intelligent music transformation.
\item Integrated real-time stem separation and audio preview functionality, allowing users to remove vocals from songs.
\item Designed an intuitive interface for parameter adjustment and model selection, reducing the complexity of AI-powered audio manipulation for end users.
\end{itemize}
\section{EXPERIENCE}
\workentry{Nestack Technologies Pvt. Ltd. | SDE}{December 2024 – Ongoing}
Remote, Hyderabad
\begin{itemize}
\item Engineered a sophisticated Dice.com scraper implementing automated filter logic that intelligently navigates the site, configures filters based on posting date, and systematically extracts thousands of job listings.
\item Developed a multi-threaded Glassdoor scraping system that simultaneously processes all 50 US states, utilizing advanced parallelization to optimize data extraction based on salary ranges, processing over 10,000 jobs daily.
\item Architected an intelligent email extraction system utilizing Bing, Google, and Scrapy concurrently, implementing Custom Captcha Solving algorithms to identify and validate contact information with 85\% recovery rate.
\item Created a Python-based GUI automator that simulates AWS Lambda functionality locally, enabling scheduled execution of scripts with custom parameters, monitoring capability.
\item Implemented an AI agent that analyzes and processes Excel data at scale (up to 1,00,000 entries simultaneously), generating tailored content based on sophisticated pattern recognition and natural language processing techniques.
\end{itemize}
\workentry{PLYPicker | Software Testing Intern}{September 2023 – November 2023}
Remote, Mumbai
\begin{itemize}
\item Spearheaded software testing for a pre-released beta Flutter application, identifying and resolving over 50 critical and minor bugs using Dart and various testing frameworks.
\item Executed regular weekly data updates using SQL, systematically improving data accuracy by 30\% and ensuring that the dataset remained current and relevant for user interactions and app functionalities.
\item Leveraged advanced testing tools and AWS services to automate various aspects of the testing process, reducing manual effort by 25\% and accelerating the identification of potential issues.
\item Collaborated in daily stand-up meetings and bi-weekly sprint reviews using Jira, contributing to the agile development process and ensuring alignment with project goals and timelines.
\end{itemize}
\workentry{MindforCare Ltd. | SDET Intern}{November 2022 – March 2023}
Remote, United Kingdom
\begin{itemize}
\item Integrated an ML model for object detection for dementia prone patients, utilizing TensorFlow Lite on a cloud-hosted VM and implementing API-based data fetching into the Flutter application.
\item Utilized MVVM architecture to create a closed beta release for their application named CareSquared.
\item Implemented state management using Riverpod and GetX, optimizing application performance and user experience.
\item Developed dashboard interfaces for patient medical history tracking, improving data visualization by 35\%.
\item Leveraged Flutter AR Core to add 3D models for vector space visualisation projection.
\end{itemize}
\section{TECHNICAL SKILLS}
\noindent\textbf{Languages:} Flutter, Dart, C++, Java\\
\noindent\textbf{Frameworks:} Firebase, Rest API, Appwrite\\
\noindent\textbf{DevOps:} Docker, CI/CD integrations with Git VCS\\
\noindent\textbf{Tools/OS:} Git, Jira, Salesforce, AWS, Google Cloud Platform\\
\noindent\textbf{Audio:} FFmpeg, FFT, Audio DSP, WAV/MP3/MP4 Processing, Audio Fingerprinting, TensorFlow Audio
\section{CERTIFICATIONS}
\entry{AWS Certified Cloud Practitioner}{Amazon Web Services, January 2024}
\entry{Associate Cloud Engineer}{Google Cloud, January 2024}
\entry{Google Cloud Computing Foundations}{Google Cloud, December 2023}
\section{ADDITIONAL INFORMATION}
\begin{itemize}
\item National Television Appearance: Featured on DD Uttar Pradesh for singing.
\item Music: Practiced guitar and Cajon as a hobby and have a good knowledge of music theory.
\item GitHub Campus Expert: Selected among top 90 developers from 200k applicants.
\item Google Cloud Arcade Facilitator: Top 50 among 100k applicants (2023).
\end{itemize}
\end{document}