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AI Engineer with less than a year in Python, Machine Learning, and React.js
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Detail-oriented Data Scientist & Full-Stack Developer with a focus on Advanced Python, Machine Learning, and React.js. Proven expertise in designing and deploying Deep Learning models (CNNs) and architecting scalable web applications. Experienced in end-to-end AI Data Curation and RLHF workflows, improving dataset consistency by 25%. Adept at leveraging data-driven insights, optimizing cloud setups, and collaborating in Agile environments to deliver robust, real-world solutions.
K.S. School of Engineering and Management
Bachelor of Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Jnanasweekar PU College
Pre-University Course (PCMB)
June 1, 2019 – May 31, 2021
Skypoint.ai
AI Data Curation & RLHF Intern
October 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Varcons Technologies Pvt Ltd
Full Stack Web Developer
August 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
In-Biot Pvt Ltd
Microsoft Azure Fundamentals Intern
October 1, 2023 – November 1, 2023
Bengaluru, Karnataka, India
Vitiligo Detection using CNN
June 17, 2026 – Present
• Designed and trained a Deep Learning model utilizing CNNs, achieving an 85% validation accuracy in patch detection. • Built image preprocessing pipelines with OpenCV and integrated the model with a React.js frontend via a Flask REST API.
College Rating & Analytics System
June 17, 2026 – Present
• Developed a full-stack predictive analytics platform for institutional evaluation featuring interactive real-time data visualizations. • Created an administrative dashboard to ingest and analyze datasets covering placement, academics, and infrastructure metrics.
Advanced Python & Machine Learning
IBM SkillsBuild Learning Plan
June 1, 2026 – Present
SQL & Relational Databases
IBM
June 1, 2026 – Present
Strategy & Data Visualization
IIT Madras
June 1, 2026 – Present
Web Development
Internshala
June 1, 2026 – Present
Vitiligo Detection using CNN
International Research Journal
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a proactive learning attitude and a diverse skill set spanning full-stack development, cloud, and AI. The involvement in a research paper indicates a commitment to continuous learning and contribution, which aligns well with an innovative AI-focused culture.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with AI engineering teams, lead code reviews, and work within Agile environments, indicating good operational fit. The project descriptions suggest a detail-oriented approach and problem-solving skills.