AI/ML Engineer Python and ML Projects

Harsh Anand

LinkedIn: https://www.linkedin.com/in/harsh-om1729 Email: *******@*********.***

Github: https://github.com/Harsh-om1729 Mobile: +91-797******* SKILLS

Languages: C++, Python, C, Java, SQL

Tools/Platforms: Git, GitHub, Jupyter, VS Code

Data & ML: Pandas, NumPy, Scikit-learn, Deep Learning Soft Skills: Problem-Solving, Teamwork, Time Management PROJECTS

Algorithm Sorting Visualizer Python, PySide6, Qt Designer GitHub Jun ’26 - Aug ’26

• Developed an interactive Algorithm Visualizer covering 10 sorting algorithms, designed to improve understanding of algorithm execution through step-by-step animated visualizations

• Built 10 interactive GUI features, including pivot tracking, temporary-array visualization, Code Viewer, and execution controls, and validated the application across 7+ test cases

• Optimized visualization performance to 5 ms average response time, enabling real-time execution and comparison of sorting algorithms

ClassLink HTML, CSS, JavaScript, Python, Flask, MySQL GitHub May ’26 - Jun ’26

• Engineered ClassLink, a web-based academic platform using Flask, MySQL, HTML, CSS, and JavaScript, integrating 5 core modules and 6 database tables to manage class information and academic resources

• Implemented 3+ core features using HTML, CSS, JavaScript, Python, Flask, and MySQL, including resource management, class-related information, and user interaction to streamline the student workflow

• Delivered functional web-based solution that organized academic information in one centralized platform, improving accessibility and reducing the need to manage class resources across multiple sources Bird Species Audio Classification Kaggle BirdCLEF, Python, PyTorch GitHub Feb ’26 – Apr ’26

• Architected a deep learning pipeline for the Kaggle BirdCLEF competition, processing 200+ environmental audio recordings across 90+ bird species for automated species classification

• Converted 1000+ raw audio samples into spectrograms and fine-tuned an EfficientNet-based classifier using PyTorch, achieving an 80% evaluation score

• Achieved a final evaluation score of 80% on the competition leaderboard by optimizing training loops and refining the submission inference pipeline

TRAINING

Lovely Professional University (LPU) Certificate Jun ’26 – Jul ’26 Data Structures & Algorithms

• Strengthened algorithmic thinking skills by implementing fundamental data structures and algorithms using Java

• Utilised arrays, linked lists, stacks, queues, trees, binary search trees, sorting, searching, and hashing to solve algorithmic problems

• Applied time and space complexity analysis to optimize solutions and improve understanding of efficient algorithm design

CERTIFICATES

Programming Using C++ Infosys Aug ’26

Database Management System Part-1 Infosys Aug ’26 Programming of Java Neocolab May ’26

C Programming Neocolab Dec ’25

ACHIEVEMENT

• LeetCode: Solved over 100 programming challenges, improving analytical and problem-solving skills Present

• Kaggle: Earned Kaggle badges for participation and achievements in data science and machine learning Present EDUCATION

Lovely Professional University Phagwara, Punjab

Bachelor of Technology, Computer Science and Engineering; CGPA: 8.12 Aug ’24 - Present B.I. Indo Public School Aurangabad, Bihar

Intermediate (Class XII), Percentage: 68% Mar ’22 – May ’24 B.I. Indo Public School Aurangabad, Bihar

Matriculation (Class X), Percentage: 81% Mar ’21 - May ’22

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