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AI Engineer with less than a year in NLP, RAG, and full-stack development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science & AI student at VTU with a strong academic record (CGPA 8.6/10) and hands-on experience in building AI-powered applications, full-stack web tools, and data-driven systems. Proficient in Python, Java, and JavaScript with practical exposure to NLP, RAG pipelines, and front-end development. Seeking a fresher role where I can apply technical skills to deliver meaningful, scalable solutions.
Dayananda Sagar Academy of Technology and Management (VTU)
B.E. in Computer Science and Artificial Intelligence · Computer Science and Artificial Intelligence
January 1, 2022 – January 1, 2026
Zappy
Product Management & Web Designer Intern
February 1, 2026 – April 1, 2026
Chennai, Tamil Nadu, India
AICTE (Edunet-IBM)
Front End Development Intern
June 1, 2024 – July 1, 2024
India
MindEase
July 1, 2025 – June 1, 2026
Built an empathetic chatbot that provides supportive, non-judgmental therapy-like conversations. Applied NLP, prompt engineering, and Gemini API integration for emotionally intelligent responses. Implemented RAG to filter irrelevant queries and maintain therapy-focused discussions.
Sign Language Detection System
October 1, 2024 – June 1, 2026
Built a real-time sign language detection system using TensorFlow, OpenCV, and Python for live hand gesture recognition and classification. Implemented a CNN-based deep learning model with image preprocessing and feature extraction to achieve accurate real-time gesture predictions. Optimized the inference pipeline and integrated live webcam processing, delivering a responsive and efficient computer vision application.
InvenStock - Inventory Management System
August 1, 2024 – June 1, 2026
Built a robust inventory management system using HTML, CSS, JavaScript, SQL, and WAMP Server. Streamlined stock tracking for business retailers, resulting in a 20% improvement in operational efficiency. Features included live inventory updates, user authentication, and an intuitive front-end design.
Cultural Fit Analysis
The candidate's diverse project portfolio, including AI-powered chatbots, computer vision systems, and web development, indicates a broad interest in technology and a willingness to explore different domains. Participation in team-based challenges and leadership roles in college fests suggests a collaborative mindset and potential for positive cultural contribution. The target role of AI Engineer aligns well with the candidate's academic specialization and project experience, indicating a focused career interest.
Soft Skills & Operational Fit
The candidate's project descriptions and extracurricular activities suggest good teamwork, problem-solving, and communication skills. Participation in challenges like NASA Space App and TCS-ion Idea Presentation indicates initiative and a proactive approach to learning and innovation. The Product Management & Web Designer Intern role also shows exposure to UAT and data organization, which are valuable for operational fit.