VATSAL GUPTA
Backend & Applied AI/ML Engineer | Computer Science Student | Innovation Pioneer
Driven by curiosity and code, I specialize in building fault-tolerant systems, AI-powered applications, and cutting-edge research solutions.
Download ResumeABOUT_ME
I'm Vatsal Gupta, a Computer Science and Engineering student with a strong inclination toward software development, AI, and problem-solving. I enjoy exploring real-world challenges through technology and continuously work on sharpening my technical and analytical skills.
Over time, I've worked on various projects and gained experience through internships that helped me build a practical understanding of how technology can be applied to create impact. I'm adaptable, self-driven, and focused on evolving with the fast-changing tech landscape.
With every challenge I take on, I aim to grow as a professional who's not just technically capable but also reliable, curious, and committed to continuous improvement.
Current Mission: Pursuing B.Tech in Computer Science and Engineering at Amity University (CGPA: 8.66) while building innovative solutions in AI/ML, backend systems, and research-grade applications.
Specializations: Backend development for fintech, privacy-first offline AI systems, research-grade ML projects, and fault-tolerant data processing systems.
PRESENT_STATS
EXPERIENCE
Freelance Software Tester
Performing manual and exploratory testing for global software products. Identifying bugs, documenting issues, and collaborating with international QA teams to ensure product quality and reliability.
- Execute comprehensive manual testing across web and mobile platforms
- Perform exploratory testing to identify edge cases and usability issues
- Document bugs with detailed reproduction steps, screenshots, and severity levels
- Collaborate with global QA teams and provide actionable feedback
- Test across multiple devices, browsers, and operating systems
Competition Contributor
Actively participating in Kaggle competitions focusing on feature engineering, model building, validation strategies, and leaderboard submissions. Working on real-world datasets to improve ML expertise.
- Feature engineering and data preprocessing for competition datasets
- Building and optimizing machine learning models for predictive tasks
- Implementing cross-validation strategies and model evaluation techniques
- Making strategic leaderboard submissions and analyzing results
- Learning from community kernels and collaborating with other data scientists
Freelance AI Contributor
Contributing to AI model improvement through data annotation, labeling, and quality assurance for NLP, Computer Vision, and Generative AI projects. Ensuring high-quality training data for machine learning systems.
- Data annotation and labeling for NLP and Computer Vision tasks
- Quality improvement and validation for AI training datasets
- Contributing to Generative AI model refinement and evaluation
- Prompt engineering and response quality assessment
- Ensuring data accuracy and consistency across various AI domains
Java Payment Gateway Intern
Worked with the Technology team on "Java Payment Gateway: Settlement & Reporting" project. Gained hands-on experience in backend development for financial systems, contributing to critical modules related to data integration, reporting, and secure transaction workflows.
- Developed Spring Boot-based system for automated CSV-to-database integration
- Implemented Spring Batch for large-scale data processing with fault-tolerant job execution
- Designed and tested RESTful APIs for dynamic data uploads and real-time processing
- Collaborated in hybrid work environment and reported progress to core team
- Participated in structured code reviews, documentation, and process improvements
Internship Trainee
Actively contributed to community outreach and development initiatives focused on education, healthcare, and social welfare under the Amity Internship Program.
- Assisted in planning and execution of awareness campaigns in underserved communities
- Supported outreach and documentation team with field data collection and reporting
- Engaged with community members to identify key issues and provide feedback
- Contributed to digital presence and content creation for social media platforms
- Completed 60-hour intensive program focused on social welfare initiatives
PROJECTS
SwarmMind Multi-Agent NLP Framework
A sophisticated Python framework that orchestrates specialized AI agents for comprehensive text analysis. Features include summarization, sentiment analysis, named entity recognition, and 7 other NLP tasks. Built with thread-safe communication, adaptive trust scoring, and consensus-based result aggregation. Zero external dependencies, pure Python implementation.
Smart Document Assistant: RAG-Based QA
Built an offline Retrieval-Augmented Generation system using Meta's LLaMA 3.2 and FAISS for fast vector-based document retrieval. Enables natural-language questions with contextually grounded answers from uploaded documents (PDFs, DOCX, TXT). Fully offline system ensuring data privacy and user control, ideal for academic, legal, and enterprise use cases.
Deep Learning Optimizer Benchmarking Framework
Research-oriented framework to benchmark deep learning optimizers across various architectures and datasets. Analyzes performance, efficiency, stability, and generalization with robustness testing under label noise. Automated logging with Weights & Biases and generates LaTeX-ready tables and comparative plots for academic publishing.
Intrusion Detection System
Machine Learning-based IDS using UNSW-NB15 dataset with RandomForest classifier, hyperparameter tuning, and model explainability through LIME. Achieved improved detection metrics with visual insights via confusion matrix, permutation importance, and local feature explanations.
Harry Potter Invisibility Cloak
Real-time computer vision project that recreates the famous invisibility cloak effect using color detection and background replacement. Optimized with HSV color masking and morphological transformations for real-time webcam feed processing.
Sentiment Analysis Engine
Built a machine learning model to classify text into positive, negative, and neutral sentiments using Python and NLTK. Applied advanced text preprocessing techniques and feature engineering with TF-IDF and Bag-of-Words models.
Amazon Clone Frontend
Fully responsive Amazon-inspired e-commerce frontend showcasing core web development skills. Recreated key pages including homepage, product listings, search functionality, navigation header, and footer with modern design principles.
Python Turtle Games Suite
Created a series of interactive games and graphical interfaces using Python's Turtle module. Built engaging mini-games including obstacle dodgers, click-based puzzles, and animations demonstrating creativity and game logic implementation.
TECH_STACK
Programming Languages
Backend Development
AI/ML & Data Science
AI/ML Frameworks & Libraries
Cloud Platforms
Databases & Query Optimization
Security & Testing
Development Tools
Soft Skills
EDUCATION
Bachelor of Technology - Computer Science & Engineering
Pursuing B.Tech in Computer Science and Engineering with strong technical foundations in programming, software development, and machine learning. College has been instrumental in shaping my interest in AI, full-stack development, and problem-solving through hands-on learning.
Key Highlights:
- Built proficiency in Python, C++, Java, SQL, and web technologies
- Actively participated in multiple hackathons and coding competitions
- Engaged in technical research initiatives and collaborative learning
- Known for proactive learning and quick adaptation to emerging technologies
- Contributed to classroom discussions and peer learning sessions
Secondary & Senior Secondary Education
Completed secondary and senior secondary education with focus on Physics, Chemistry, Mathematics, and Computer Science. Maintained academic excellence while actively participating in sports, especially badminton and cricket.
CERTIFICATIONS
PATENT_REGISTRY
Issued: July 18, 2025 | Country: India | Class: 24-01
This registered design pertains to an AI-Enabled Skin Disease Identification and Diagnosis Robot, developed as a collaborative innovation in the field of medical technology. The system integrates artificial intelligence, computer vision, and robotic automation to analyze skin conditions and assist in early-stage diagnosis.
The design was filed under Class 24-01 with the Indian Patent Office and focuses on the physical and functional attributes of a robotic unit capable of interpreting dermatological symptoms through image processing and machine learning models.
Innovation Impact: This work represents a convergence of healthcare and engineering, contributing to the development of accessible, AI-driven diagnostic tools in dermatology. The project involved a multidisciplinary team combining expertise in software, hardware, and clinical insight.
VOLUNTEERING_ACTIVITIES
Hospitality Volunteer
Contributed as a Hospitality Volunteer during CONFLUENCE-2025, the 15th International Conference on Cloud Computing, Data Science & Engineering. Supported guest coordination, session logistics, and on-ground hospitality management for speakers, panelists, and delegates from 20+ countries.
- Managed hospitality for 30+ academic and industry speakers
- Coordinated with international delegates from 20+ countries
- Supported session logistics and technical arrangements
- Collaborated with university staff and student teams
- Ensured smooth execution of conference operations
Wellness Participant
Successfully participated in HaBuild's Largest Online Yoga Camp on International Yoga Day 2025. Joined 7.52 lakh people from 169+ countries in a massive global wellness event focused on daily yoga practice, breathing techniques, and personal well-being.
- Part of world record-breaking yoga camp with 752,000+ participants
- Daily engagement in yoga practice and breathing techniques
- Focus on mental clarity, discipline, and consistency
- International collaboration across 169+ countries
- Contribution to global wellness and mindfulness movement
ACHIEVEMENTS_&_AWARDS
Hacktoberfest 2025: Open Source Developer
Successfully participated in Hacktoberfest 2025 as an active open source developer and algorithm contributor. Made significant contributions across multiple repositories focusing on AI, cybersecurity, frontend improvements, and documentation enhancements.
- Contributed to AI and machine learning open source projects
- Enhanced cybersecurity tools and frameworks with bug fixes and features
- Improved frontend components and user interfaces
- Created comprehensive documentation for developer communities
- Practiced test-driven development and collaborative workflows
- Engaged with global developer community through code reviews
Tree-Nation: Environmental Contributor
Contributed to environmental sustainability through Tree-Nation by planting trees as part of Hacktoberfest participation. Actively working to offset carbon emissions and contribute to global reforestation efforts.
- Planted trees to offset carbon footprint from technology usage
- Contributed to global reforestation and climate action initiatives
- Combined technology contributions with environmental responsibility
- Participated in sustainable development goals through direct action
2nd Place - GDG Amity Kaggle Competition
Secured 2nd position in the Google Developer Groups Amity Kaggle Spaceship Titanic Machine Learning Challenge. Competed against fellow data science enthusiasts, implementing advanced feature engineering and ensemble modeling techniques.
- Built predictive models for passenger transportation classification
- Implemented advanced feature engineering and data preprocessing
- Applied ensemble learning techniques for improved accuracy
- Competed in live leaderboard competition environment
- Demonstrated strong problem-solving and analytical skills
Confluence 2025 - Hospitality Excellence
Recognized for outstanding hospitality and coordination efforts at Confluence 2025, the 15th International Conference on Cloud Computing, Data Science & Engineering. Managed logistics and guest coordination for participants from 20+ countries.
Internship Excellence Certificate
Awarded Internship Excellence Certificate for successful completion of 60-hour intensive internship program focused on community outreach, social welfare initiatives, and grassroots development work.
Outlier AI Contributor Recognition
Recognized for consistent high-quality contributions to AI model improvement through data annotation, labeling, and prompt engineering across NLP, Computer Vision, and Generative AI projects.