AI & Machine Learning Undergraduate | Strong in DSA | Applied ML & Data Systems Builder

Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning with hands-on experience in end-to-end machine learning pipelines, data analysis, and backend development. Strong problem-solving skills demonstrated through 600+ solved LeetCode problems and practical project work using PyTorch, Flask, and SQL.

Comfortable translating problem statements into data-driven solutions, building scalable ML systems, and writing clean, maintainable code.

• Python, Java, C / C++, JavaScript, SQL

• Machine Learning, Deep Learning (PyTorch)
• Data Analysis & Visualization
• Model Training, Evaluation, and Deployment
• Data Structures & Algorithms

• NumPy, Pandas, Matplotlib, Seaborn
• Flask (Backend Development)
• Git, GitHub
• Tableau, Power BI, Excel

Tech: PyTorch, Flask, Computer Vision
Domain: Applied AI in Agriculture

• Designed and implemented an AI-powered livestock evaluation system using deep learning
• Achieved ~95% scoring accuracy on cattle body condition assessment
• Reduced evaluation time from ~30 minutes to seconds
• Built a scalable, modular backend architecture suitable for low-cost deployment
• Application supports breeding, insurance, and livestock trade decision-making

• 600+ problems solved
• Strong grasp of DSA, recursion, arrays, strings, trees, graphs, and DP
• Consistent practice with focus on optimal time & space complexity

Technical Team Member
Metaversity – Metaverse Club, VIT Bhopal University
Jan 2025 – Present

• Contributed to defining machine learning problem statements for CodeVerse 2025 Hackathon
• Collaborated with cross-functional teams on technical ideation and evaluation criteria

• Selected from 997 institute teams
• Shortlisted to Top 45 teams in the institute
• Led multidisciplinary team through ideation, faculty interviews, and prototype development
• Demonstrated leadership, planning, and execution under tight timelines

B.Tech — Computer Science & Engineering (AI & ML)
VIT Bhopal University (2024 – 2028)
CGPA: 8.2 / 10

• Class XII (CBSE): 88.2%
• Class X (ICSE): 90.5%

• LinkedIn: https://www.linkedin.com/in/sparsh-kapoor-sk
• Email: sparsh312333@gmail.com
• LeetCode: https://leetcode.com/sparsh4306/

Actively seeking SDE / ML / Data internships and collaborative engineering opportunities.