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AI Engineer with 1+ years in AI/ML & Python
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A recent B.Tech graduate in Computer Science and Engineering (AI&ML), with hands on experience building CNN-based diagnostic system and deploying LLMs (Gemini, Gemma) in production style application. Skilled in Python, Pytorch, end-end model deployment. A quick learner with strong analytical thinking, eager to apply my AI/ML skills and contribute to building intelligent, real-world solutions in a growth-oriented organization.
Sree Buddha College of Engineering
Bachelor of Technology · Computer Science (Artificial Intelligence & Machine Learning)
August 1, 2022 – June 30, 2026
Sree Narayana Central School
Senior Secondary · Biology - Maths
N/A – Present
Stem Robotics, Kochi
AI and Robotics Training
June 1, 2025 – June 1, 2025
Cochin, Kerala, India
AI Based Medical Diagnosis Assistance
June 29, 2026 – Present
Created an AI system that helps diagnose diseases using patient symptoms, lab results, and medical images (MRI and X-ray). Used CNN models and a simple user interface to make medical diagnosis faster and more accurate.
Predictive Maintenance Intelligence Stack (PMIS)
June 29, 2026 – Present
Proposed and developed a unified intelligence stack designed to standardize predictive maintenance protocols across heterogeneous industrial sectors. Engineered a modular framework integrating real-time sensor data with domain-specific AI models to provide a cross-sector diagnostic layer. Addressing fragmentation in industrial AI by providing a scalable "Intelligence Stack" for Aerospace, Automotive, and Manufacturing.
Future Me AI
June 29, 2026 – Present
Developed an AI-powered web application using Python, FastAPI, HTML, CSS, and JavaScript that enables users to interact with a simulated future version of themselves through personalized conversations and growth timelines. Integrated Google Gemini AI to generate intelligent future-self responses, designed RESTful APIs using FastAPI, and built an interactive frontend with dynamic timeline visualization to help users explore future goals, milestones, and personal development pathways.
ResQ - Offline Disaster Response Assistant
June 29, 2026 – Present
Developed an offline disaster response platform powered by Gemma 4 through Ollama, delivering AI-driven emergency guidance across floods, earthquakes, cyclones, and medical emergencies without internet dependency. Built a conversational assistant providing step-by-step safety instructions, first-aid recommendations, and preparedness guidance backed by local SQLite and JSON-based storage. Deployed through a responsive React and Tailwind CSS dashboard with modules for emergency shelters, survival guides, and checklists, ensuring reliability in low-connectivity and disaster-affected environments.
AI for Data Analysis
Google - Coursera
May 1, 2026 – May 1, 2026
Data Analysis with Python
IBM - Cognitive Class
November 1, 2025 – November 1, 2025
AI and Robotics Training
Stem Robotics, Kochi
June 1, 2025 – June 1, 2025
Full Stack Web Development with AI Tools
Edunet Foundation / AICTE
January 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse and impactful domains, such as healthcare, industrial maintenance, and disaster response. This breadth of interest and willingness to tackle varied challenges aligns well with an innovative and growth-oriented culture. The involvement in campus engagement as 'Media Lead' also suggests a proactive and collaborative mindset. The focus on practical, deployable solutions indicates a desire to contribute meaningfully, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to propose and develop solutions for complex problems, suggesting strong problem-solving and analytical skills. The 'Media Lead' campus engagement also points to communication and leadership potential. The focus on real-world applications (e.g., offline disaster response, medical diagnosis) suggests a practical, results-oriented approach. However, with limited professional experience, the operational fit for a senior role would require further validation of independent decision-making and project ownership.