SATHVIK
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in Java, Python, and Machine Learning.
Aspiring Software Engineer and Artificial Intelligence & Machine Learning undergraduate with hands-on experience in Java, Python, SQL, Data Structures, Algorithms, Object-Oriented Programming, Machine Learning, REST APIs, Git, and GitHub. Developed AI-powered applications, predictive analytics systems, Android applications and solutions through academic projects and internships. Strong problem-solving, analytical thinking, and software development skills with interest in Software Engineering, Artificial Intelligence, Machine Learning, and Backend Development.
Moodlakatte Institute of Technology, Kundapura
Bachelor of Engineering · Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2026
Sri JCBM Sringeri
PUC
June 1, 2020 – May 31, 2022
Morarji Desai Residential School, Koppa
SSLC
June 1, 2016 – May 31, 2020
TAP Academy
Java Full Stack Development Intern
January 1, 2026 – Present
India
UrbanNest – PG & Part-Time Job Finding Platform
January 1, 2026 – June 1, 2026
Developed a full-stack web application connecting students and professionals with PG accommodations and part-time job opportunities. Implemented secure user authentication, profile management, and role-based access for job seekers, tenants, and providers. Designed and integrated RESTful APIs to manage property listings, job postings, user applications, and search functionality. Built responsive and user-friendly interfaces using modern web technologies, ensuring seamless access across devices. Utilized database management techniques for efficient storage and retrieval of accommodation and employment data. Technologies: Java, Spring Boot, Spring Data JPA, MySQL, HTML, CSS, JavaScript, Bootstrap, REST APIs, Git, GitHub.
AI-Based Counterterrorism and National Security System
October 1, 2025 – January 1, 2026
Engineered an AI-powered monitoring platform capable of processing 1000+ activity records for suspicious behavior detection. Applied Machine Learning algorithms to improve anomaly detection accuracy and support threat assessment workflows. Integrated real-time alert generation and monitoring mechanisms for rapid incident identification. Enhanced automated threat detection using predictive analytics techniques and behavioral pattern analysis. Technologies: Python, Scikit-learn, Pandas, NumPy, Streamlit.
Infosys SpringBoard certificate for Java
Infosys
June 1, 2026 – Present
Gen UI/UX in Coursera
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a blend of AI/ML and full-stack development, aligning with the diverse skill sets often valued in tech environments. The 'AI-Based Counterterrorism' project shows an interest in impactful, security-related applications, while 'UrbanNest' indicates an ability to build practical, user-centric platforms. The current internship in Java Full Stack Development, while not directly AI-focused, shows a commitment to continuous learning and practical application of skills. The target role of 'AI Engineer' is well-supported by the AI/ML project, but the strong emphasis on Java full-stack development might indicate a broader interest or a need to bridge the gap between academic AI projects and industry-level AI engineering practices. The candidate is still pursuing a Bachelor's degree, which suggests a learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions suggest problem-solving and analytical thinking skills. The 'AI-Based Counterterrorism' project indicates an ability to work on complex, data-intensive problems. The 'UrbanNest' project shows an understanding of user requirements and full-stack development, implying a structured approach to software development. However, without direct assessment data on collaboration, stress handling, or communication, a comprehensive evaluation of operational fit is limited.