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AI Engineer with less than a year in Machine Learning and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science graduate skilled in Machine Learning, Deep Learning, and Python. Seeking Data Scientist and AI Engineer roles in Bangalore, India.
Karpagam Academy of Higher Education
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
SDA Matriculation Higher Secondary School
HSC
June 1, 2020 – May 31, 2021
NineRemit
Data Scientist Intern
May 1, 2026 – Present
India
Pantech E-Learning
Python Programming Intern
August 1, 2023 – October 1, 2023
India
Real vs Fake Face Classification using Computer Vision
April 1, 2026 – May 1, 2026
Orchestrated an end-to-end Deep Learning pipeline on a 6,000-image dataset using CNN-based binary Classification with Feature Engineering and Data Wrangling. Optimized model via Hyperparameter Tuning and Cross-validation, achieving 75% accuracy and reducing false-positive rate by 12% on the test set. Deployed a real-time Streamlit web application enabling instant face-authenticity inference on user-uploaded images.
Water Potability Prediction
December 1, 2025 – February 1, 2026
Spearheaded end-to-end Data Wrangling and EDA on a 3,276-sample dataset, imputing missing values across 9 features. Evaluated 5 Machine Learning classifiers including Random Forest via Cross-validation and Hypothesis Testing, achieving 82% accuracy with Statistics-driven feature selection. Streamlined real-time Classification of potability via an interactive Streamlit dashboard with 9 user-supplied water-quality parameters.
View ProjectImage Captioning using Deep Learning
January 1, 2025 – April 1, 2025
Architected an end-to-end pipeline combining CNN (VGG16) feature extraction with LSTM sequence modeling on the 8,000-image Flickr8k corpus. Attained a BLEU-4 score of 0.62 via Hyperparameter Tuning and transfer learning, outperforming the baseline by 18%. Launched the captioning model as a Flask web application enabling real-time NLP inference on user-uploaded images.
View ProjectData Science & Artificial Intelligence
Boston Institute of Analytics
January 1, 2026 – Present
Internet of Things
NPTEL
January 1, 2024 – Present
Certificate in Python
Infosys Springboard
January 1, 2024 – Present
Introduction to Machine Learning
Infosys
January 1, 2024 – Present
Data Analysis with Python
Sololearn
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in AI and Data Science, aligning well with an AI Engineer role. The diversity of projects (computer vision, NLP, tabular data classification) shows a broad interest within the AI domain. Participation in competitive programming and multiple certifications indicates a proactive learning attitude and dedication to skill development, which are positive indicators for cultural fit in a fast-paced, innovation-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to orchestrate, spearhead, and architect solutions, suggesting initiative and project ownership. The deployment of real-time applications indicates a focus on practical, deliverable outcomes. Competitive programming further demonstrates a drive for problem-solving and continuous improvement.