AI Engineer with 1+ years in Machine Learning & Computer Vision
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AI/ML Engineer with 1.8 years of experience, specializing in Machine Learning, Deep Learning, and Computer Vision. Proven ability to build and deploy AI solutions for complex problems, from floorplan detection to medical report analysis. Adept at using Python, LLMs, and various AI/ML frameworks to drive impactful projects and contribute to research. Committed to continuous learning and applying advanced AI techniques to real-world challenges.
KMEAEngineeringCollege
Bachelor of Technology · Electronics and Communication
August 1, 2020 – June 30, 2024
Govt. Girls HSS, Ernakulam
Higher Secondary
June 1, 2018 – May 31, 2020
St. TeresasCGHSS
High School
N/A – May 31, 2018
PropMarker
AI/ML Intern
March 1, 2026 – Present
India
Signal Semitech Pvt Ltd
Project Trainee
August 1, 2024 – January 31, 2026
India
Health Insight Agent-LLM Based Medical Report Analysis System
June 1, 2026 – Present
Developed an AI-powered system to analyze medical reports and generate automated health insights using Large Language Models (Gemini API). Interpreted clinical data, identified abnormal lab parameters, categorized risk levels (normal, moderate, urgent), and generated simplified health explanations with general lifestyle guidance.
Artificial Intelligence(AI)-Powered Detection of Focal Cortical Dysplasia in Children
June 1, 2026 – Present
Developed a deep learning pipeline for classifying and segmenting Focal Cortical Dysplasia (FCD) in 3D MRI scans. Used 3D Convolutional Neural Networks (CNNs) to extract complex features from MRI data to identify FCD presence and location.
Real time multiple attendance detection using Haar Cascade and LBPH
June 1, 2026 – Present
Implemented real-time attendance detection using Haar Cascade for quick face detection and Local Binary Pattern Histogram (LBPH) for face recognition with an accuracy of 96%. Haar Cascade rapidly identifies faces with bounding boxes, while LBPH recognizes faces and tracks multiple attendees with timestamps for efficient attendance monitoring.
Real-Time Population Tracking and Personal Information Log using Haar Cascade and LBPH Image Processing
International Conference on Advancements in Power, Communication, and Intelligent Systems
June 1, 2026 – Present
Generative Artificial Intelligence - Springboard
Unknown
June 1, 2026 – Present
Bootcamp on Allied Technology for Drone
Unknown
June 1, 2026 – Present
Data & AI Expertise Programme
Datakompany
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio spans medical report analysis, brain disorder detection, and real-time attendance systems, showcasing a diverse interest in applying AI to various fields. Their internship at PropMarker and project trainee role at Signal Semitech indicate an ability to work in structured environments. The certifications and courses taken demonstrate a proactive approach to learning and skill development, which aligns well with a culture of continuous improvement. The focus on AI/ML and Generative AI aligns directly with the target role, indicating a strong cultural fit for an AI-centric team.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, teamwork, adaptability, and communication skills through project descriptions and internship roles. Their involvement in research and technical documentation suggests a structured approach to work and a willingness to contribute beyond coding tasks. The project diversity indicates an ability to adapt to different problem domains within AI.