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AI Engineer with less than a year in Machine Learning 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
Artificial Intelligence and Data Science undergraduate with experience in Machine Learning, Deep Learning, Computer Vision, IoT, Full Stack Development, and Digital Marketing. Passionate about building AI-powered solutions for healthcare, agriculture, and automation while contributing to innovative technology-driven organizations.
Dr. Mahalingam College of Engineering and Technology
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
S.H.N.V.Matriculation Higher Secondary School
SSLC
N/A – May 31, 2021
S.H.N.V.Matriculation Higher Secondary School
HSC
N/A – May 31, 2023
Macvel Solutions
Full Stack Development Intern
May 1, 2025 – June 1, 2025
Sivakasi, Tamil Nadu, India
Machine Learning- DermAI - Skin Disease Prediction Model
April 1, 2026 – Present
Developed a clinical-assistive skin disease diagnostic platform using a ConvNeXt-Tiny, EfficientNet-B3, ResNet-18 and a FastAPI backend to achieve 96.0% specialist precision.
Artificial Intelligence - Pearl : Women's Health Tracking & PCOD Diet Guide App
January 1, 2026 – Present
Automated a mobile app that tracks and guides women's health and provides personalized diet guidance focused on PCOD-diagnosed women
Internet Of Things - Pet Monitoring Web Application
December 1, 2025 – Present
Prototyped a sample Web Application for monitoring Pet's Heart Rate and Body Temperature using sensors for the pet owners.
Machine Learning - Semantic Aware Grayscale Video colorization using Attention Guided U-Net and GAN
November 1, 2025 – Present
Developed an Attention-Guided U-Net and GAN model using Python, PyTorch, OpenCV, and Computer Vision techniques.
Certified in E-Business Course
NPTEL
June 1, 2026 – Present
Completed Entrepreneurship Course
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying AI to diverse domains like healthcare (DermAI, Pearl) and general automation (Video Colorization, Pet Monitoring). This diversity, coupled with a stated passion for building AI-powered solutions, suggests a good cultural fit for an innovative, technology-driven organization. The full-stack internship also indicates a willingness to explore different technical areas. However, the candidate is still early in their career, and their long-term cultural alignment would need further assessment.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, leadership, and research-oriented thinking as soft skills. Project descriptions indicate an ability to work on complex technical problems, which aligns with a research-oriented mindset. However, without direct interview data or peer feedback, the operational fit and depth of these soft skills cannot be fully assessed.