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Embedded Systems Engineer with less than a year in AI/ML, Web Development & Embedded Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated engineering graduate with strong problem-solving skills and proven ability to deliver practical solutions through projects. Seeking an opportunity to begin my professional career and contribute to impactful software or embedded system development.
Indian Institute of Technology, Madras
BSc · Data science and Applications (Online)
August 1, 2023 – June 30, 2026
Cochin University of Science and Technology(CUSAT)
B.Tech · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Government Boys Higher Secondary School, Aluva
Higher Secondary Education
June 1, 2018 – May 31, 2020
Little Flower HS, Panaikulam
Secondary Education
June 1, 2018 – May 31, 2018
Hospital Management System - Web Application
June 28, 2026 – Present
Developed a hospital management web application with role-based authentication for Admin, Doctor, and Patients, and end-to-end CRUD workflows for appointment scheduling and patient record management. Frontend: HTML, CSS, Bootstrap, Jinja2. Backend: Python (Flask). Database: SQLite.
Driver Drowsiness Detection and Alert System
June 28, 2026 – Present
Developed a real-time drowsiness monitoring system on Raspberry Pi using EAR and MAR based computer vision, including training a lightweight model optimized for on-device performance. Added steering-grip pressure sensing using an FSR with SPI/ADC interfacing for dual-safety fatigue alerts. Designed a custom PCB and integrated GPIO-controlled alert mechanism for safe, fully offline operation in vehicles.
Multi-Turn Intent Classifier
June 28, 2026 – Present
Built a prompt-based classifier for WhatsApp-style multi-turn chats to detect customer intents and generate rationales. Utilized Python, Hugging Face Transformers, Gemma 2 (2B) LLM, PyTorch, Pandas, and Google Colab for model implementation, preprocessing, and prediction generation.
Cultural Fit Analysis
The candidate's projects demonstrate a blend of web development, embedded systems, and AI/ML, indicating a broad interest in technology. The 'Driver Drowsiness Detection' project aligns well with the target role, showcasing initiative in hardware-software co-design. The academic nature of all projects, coupled with no professional experience, suggests a learning-oriented individual who might thrive in a team that values mentorship and growth. However, the lack of diverse team projects or open-source contributions makes it difficult to fully assess collaboration and cultural adaptability.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, decision-making, and multitasking as soft skills. These are highly valuable for an Embedded Systems Engineer, indicating a potential for independent work and tackling complex technical challenges. The academic project experience suggests an ability to take projects from conception to implementation, including hardware and software integration.