AI Engineer with less than a year in computer vision and microservices.
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Final-year Computer Engineering student with 9 months of experience building production-scale backend and AI systems. Designed and deployed real-time Driver Monitoring System using computer vision (InsightFace, MediaPipe, YOLOv8) and microservice architecture (FastAPI + Spring Boot). Experienced in handling large-scale data (12M+) and building scalable, high-performance systems. Seeking roles in AI/ML and backend systems.
Shah & Anchor Kutchhi Engineering College
B.Tech Computer Engineering · Computer Engineering
N/A – June 30, 2026
Jtronix Technologies
Software Engineer Intern
August 1, 2025 – May 1, 2026
Navi Mumbai, Maharashtra, India
Credit Card Statement Parser
October 1, 2025 – October 1, 2025
Built full-stack credit card statement parser using Java 17, Spring Boot 3, React 18, and Apache PDFBox. Designed RESTful API using axios with multipart file upload, implemented responsive UI with Tailwind CSS and drag-and-drop functionality. Designed modular parser architecture with factory pattern and bank-specific parsers.
Food Delivery Webapp
March 1, 2025 – April 1, 2025
Built a full-stack application using React (frontend) and Node.js (backend), with MongoDB for data storage. Integrated Stripe for secure payment processing. Designed responsive UI with food browsing and cart functionalities.
Android Developer Virtual Internship
June 1, 2026 – Present
DEVOPS DECODE: Hands-on Fundamentals
ExcelR
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role through diverse projects combining full-stack development with specialized AI/ML applications. The personal projects and internship experience show initiative, a proactive learning attitude, and the ability to work across different technology stacks. The focus on real-world problem-solving (DMS, Credit Card Parser) aligns well with an innovative and results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Teamwork, Curious, Proactive, self-driven, Adaptability, and Analytical Thinking. These indicate a good operational fit for collaborative and dynamic engineering environments. The experience in collaborating with frontend and management teams further supports this.