Summary
Enthusiastic Computer Science and AI student with hands-on experience in machine learning, data structures, and
startup operations. Skilled in Python, deep learning, and algorithmic problem-solving. Proven ability to lead projects,
collaborate effectively in teams, and deliver practical, scalable solutions. Eager to apply technical skills,
creativity, and structured thinking to tackle real-world challenges.
Professional Experience
Founder, Massivekingdoms Technologies Private Limited
April 2019 - September 2022 | Nadiad, Gujarat, India.
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Led the development and management of an e-commerce platform, implementing data-driven marketing strategies and enhancing operational efficiency, resulting in over 10,000 product impressions in just 3 weeks.
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Designed over one hundred social media posts and banners for advertising, contributing to increased brand visibility and engagement.
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Analyzed customer data to optimize product offerings and improve user experience, resulting in up to 200% increase in cart conversion rates.
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Collaborated with vendors to implement strategic business initiatives, achieving a 15-20% reduction in costs, allowing for increased customer discounts and higher net revenue.
Social Media Marketing Manager, Happy Pops
July 2022 – July 2022 | Toronto, Canada
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Collaborated with a diverse international team from Thailand, Denmark, and Canada to develop and implement a one-month social media marketing strategy, leading to a measurable increase in engagement and follower growth of over four hundred organically
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Devised and executed a data-driven strategy, resulting in a 25% increase in online engagement and one of the reels went viral, achieving over 8,000 organic views within 24 hours went viral.
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Presented the final social media strategy to the CEO at Humber College, Toronto, delivering key insights and recommendations that contributed to a 25% increase in brand visibility and a 40% boost in engagement.
Projects
Resume Genome - AI-Powered Resume Analyzer
Independent Project | July 2025
Live Demo: https://huggingface.co/spaces/thisrudrapatel/Resume-Genome
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Developed and deployed a secure, AI-powered resume analysis tool using Groq-hosted LLaMA-4, simulating
ATS behavior through semantic prompt engineering and real-time interaction. -
Parsed resumes (PDF/DOCX) using PyMuPDF and docx2txt, extracting structured text for NLP-based
keyword matching and contextual scoring. -
Implemented a lightweight, session-based Retrieval Augmented Generation (RAG) pipeline by dynamically
injecting extracted resume and JD content into LLM prompts for contextual analysis and feedback generation. -
Built a user-friendly Gradio UI, deployed on Hugging Face Spaces, ensuring secure, in-memory processing
with no data retention.
Potato Leaf Disease Detection Using Deep Learning
Independent Project | March 2024
Live Demo: https://huggingface.co/spaces/thisrudrapatel/potato-diseases-classification-model
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Developed a CNN model to classify potato leaf diseases into three categories, improving early detection and reducing crop loss.
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Processed over 4,500 images by applying techniques such as resizing, normalization, and data augmentation to enhance the quality and diversity of the dataset for improved model training.
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Achieved 90% accuracy in detecting potato diseases such as late blight and early blight using Python, TensorFlow, and Keras.
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Deployed the model with a web user interface for instant disease diagnosis up to 80% accuracy.
Education
Bachelor of Technology in Computer Science and Engineering - Artificial Intelligence
Parul University | Vadodara, Gujarat | Expected 2026
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Acquired strong proficiency in Python, machine learning, and AI, with a focus on real-world applications
Diploma in Neural Networks and Deep Learning
Parul University | Vadodara, Gujarat | 2024
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Driven by a passion for creating intelligent systems that learn and adapt from experience.
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Eager to dive deeper into the field and discover innovative solutions to complex problems.
Diploma in Computer Science
Parul University | Vadodara, Gujarat | 2023
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Developed a solid foundation in computer science, with firsthand experience in programming, algorithms, data structures, while gaining proficiency in languages like Python.
Certifications
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Machine Learning: Specialization | Stanford Online | 2025
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Python 3 Programming | University of Michigan | 2024
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UTORBLD01: Blockchain: Principles, Mechanics, and Tokens | Rotman School of Management | 2024
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Business Analysis Fundamentals | Microsoft | 2024
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Google Data Analytics Professional | Google | 2023
Technical Skills
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Programming Languages: Python (Proficient with ML libraries: Scikit-learn, NumPy, Pandas, Matplotlib)
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Generative AI & NLP: Groq-hosted LLMs, Prompt Engineering, Tokenization, Vectorization, Semantic
Matching -
Deployment & Tools: Gradio, Hugging Face Spaces, Git, GitHub
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Data Analysis & Visualization: SQL, Excel (Advanced), DAX queries, Power BI
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Machine Learning: Supervised and Unsupervised learning, Clustering algorithms (K-Means), Tree-based algorithms (Random Forest)
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Statistical Analysis: A/B testing, correlation analysis
Soft Skills
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Structured and Analytical Thinking: Problem-solving with a result-oriented approach
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Attention to Detail: Ability to identify and address subtle issues.
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Communication: Clear articulation of technical concepts to stakeholders
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Team Collaboration: Experience working effectively within teams.
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Adaptability: Thrives in dynamic and ambiguous environments
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Continuous Learning: Strong willingness to learn about new technologies and tools.
Awards
Airport Landing Arena Competition | Won silver medal and secured Second place across Vadodara district | 2021.
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Developed an innovative, space-efficient airport design that won a Special Award from the University President for its cost-effectiveness and operational efficiency