YOKESH S V
Fullstack 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
Fullstack Engineer with less than a year in Web Development & AI-powered applications
Artificial Intelligence and Data Science graduate skilled in Python, Java, SQL, Machine Learning, Deep Learning, NLP, and full-stack development. Experienced in building AI-powered applications, LLM-based solutions, data analytics systems, and scalable web applications using modern technologies. Proficient in developing end-to-end software solutions, integrating databases, APIs, and intelligent automation workflows. Seeking opportunities in Full Stack, AI Engineering, Machine Learning or Software Development to contribute technical expertise and drive innovation.
Sri Ramakrishna Engineering College
B.Tech - AI and Data Science · Artificial Intelligence & Data Science
January 1, 2022 – January 1, 2026
KSV Higher Secondary School
Higher Secondary Education
January 1, 2021 – January 1, 2022
JSS International School
Secondary Education
January 1, 2015 – January 1, 2021
Qwat Innovation
Web Development Intern
April 1, 2026 – June 1, 2026
Coimbatore, Tamil Nadu, India
Hospital Management Dashboard
June 1, 2025 – June 1, 2026
Developed a full-stack hospital management app for patient records, doctor details, and appointment scheduling. Built a responsive frontend using Next.js and TypeScript; implemented secure REST APIs using Node.js. Integrated MySQL and PostgreSQL for secure hospital data storage with optimised query performance. Reduced manual paperwork by 30% and improved healthcare data management efficiency through automation.
Multimodal Tuberculosis Detection System
June 1, 2025 – June 1, 2026
Developed a multimodal AI system for TB prediction using chest X-ray images, cough audio signals, and symptom analysis. Applied CNN (DenseNet) for X-ray image classification and MFCC for cough audio feature extraction. Implemented machine learning models for symptom-based risk prediction; combined outputs using Late Fusion. Achieved ~90% prediction accuracy using React frontend and Flask backend for end-to-end TB screening.
AI Powered Tourism Chatbot for Nilgiris
June 1, 2025 – June 1, 2026
Developed an AI powered tourism chatbot using Python, Streamlit and Gemini API for tourist assistance and travel recommendation generation. Built an interactive chatbot interface using Streamlit, implementing user query processing and tourism information retrieval. Integrated JSON based tourism datasets and Gemini API for location specific response generation and knowledge retrieval. Implemented prompt engineering and context-aware response generation to improve answer accuracy and user experience.
C Programming - IIT Bombay Spoken Tutorial
IIT Bombay Spoken Tutorial
June 1, 2026 – Present
AWS Academy Graduate - Cloud Foundation
AWS Academy
June 1, 2026 – Present
Data Analytics – MAIYYAM
MAIYYAM
June 1, 2026 – Present
Fundamentals of Deep Learning – NVIDIA
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in both AI/ML and full-stack development, indicating a diverse skill set. The 'Multimodal Tuberculosis Detection System' and 'AI Powered Tourism Chatbot' show innovation and application of advanced technologies. The 'Hospital Management Dashboard' project highlights practical full-stack development. The internship experience, though short, shows collaboration. This breadth of interests and project types suggests a good cultural fit for a dynamic and innovative team, particularly one that values cross-disciplinary skills. However, the experience level is very low (0 years stated, 3 months internship), which might require significant mentorship.
Soft Skills & Operational Fit
The candidate lists 'Effective Communication', 'Teamwork & Collaboration', 'Time Management', 'Problem Solving', and 'Adaptability' as soft skills. These are crucial for a Fullstack Engineer role, especially in collaborative development environments. The project descriptions also highlight collaboration and problem-solving. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.