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Full Stack Engineer with less than a year in AI/ML & Observability Systems
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented professional with 7 months of internship experience in full-stack development, AI/ML engineering, and observability systems. Proficient in a wide range of technologies including Python, Java, JavaScript, Node.js, React.js, MySQL, MongoDB, Docker, and Kubernetes. Demonstrated ability to develop scalable applications, optimize performance, and improve data accuracy, contributing to significant reductions in issue resolution time and manual effort across various projects.
Gurudeva Eng Med High School
Higher Primary Education
N/A – May 31, 2019
KLE Institute of Technology
Bachelor of Engineering · CSE
N/A – June 30, 2025
Bellary Independent PU College
Pre-University Education
N/A – May 31, 2021
VuNet Systems
Intern
August 1, 2025 – October 1, 2025
India
Rooman Technologies
AIML Intern
October 1, 2024 – January 1, 2025
India
Rice Plant Leaf Disease Predictor (ML Application)
June 28, 2026 – Present
Designed an AI-based disease detection system using VGG16 and XGBoost to classify 8 rice leaf diseases with 92%+ accuracy. Applied image preprocessing and augmentation on 5,000+ samples to improve model reliability and performance by 15%. Integrated Flask backend with React.js frontend for real-time predictions within 3 seconds.
View ProjectWanderlust (Full-Stack Application)
June 28, 2026 – Present
Built accommodation platform having 150+ property listings with authentication & CRUD operations, reducing manual management effort. Implemented ratings, reviews, & interactive geolocation maps, increasing user engagement by 38% & improving location accuracy by 40%. Optimized RESTful APIs & MongoDB queries, reducing average page load time by 32% & improved system responsiveness.
Secured 1st Place in Matrix Competition and Runner-Up in Technical Paper Presentation.
Unknown
June 1, 2026 – Present
VuSmartMaps Administration Certification
VuNet Systems
January 1, 2025 – Present
JAVA Full-Stack Development
TAP Academy
January 1, 2025 – Present
AIML Certification
NSDC
January 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a broad interest in technology, evidenced by projects spanning full-stack development and AI/ML, and certifications in both areas. This versatility suggests adaptability and a willingness to learn new domains. The participation in competitions and presentations indicates a proactive and competitive spirit. However, the experience level is very low (0 years), and the target role is 'Full Stack Engineer' while some projects lean heavily into ML. This might indicate a need to focus on a specific career path for better alignment with a dedicated full-stack role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, from full-stack development to machine learning. The internship at VuNet Systems suggests an understanding of monitoring and observability, which is crucial for operational roles. Collaboration with cross-functional teams is also mentioned, indicating potential for teamwork. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.