Hey, I’m Allen Manoj

Built and tuned SVM, MLP, and CNN models for colorectal cancer tissue classification. Achieved validation accuracy of 72% with stratified 5-fold CV and model tuning using Keras Tuner. Conducted error analysis and ensured experiment reproducibility.

Deployed a scalable Flask web app using EC2 Auto Scaling and ALB for high availability. Orchestrated a serverless backend with Lambda and EventBridge for image captioning using the Gemini API and thumbnail generation. Built an S3-triggered pipeline to generate captions and thumbnails, storing results in RDS and returning pre-signed URLs. Configured IAM, VPC, and CloudWatch for secure, observable infrastructure.

Developed a Deep Learning Framework to classify pulmonary diseases through respiratory sound analysis. Transformed raw audio files into spectrographic images and employed CNN for accurate detection across 8 classes.

Built a real-time playlist recommender integrating facial emotion detection and sentiment analysis. Mapped emotional states to Spotify’s track features (valence, tempo) to generate dynamic playlists. Deployed an interactive UI using Streamlit for user engagement.

Developed a streamlined ETL (Extract, Transform, Load) pipeline to enhance data transfer and visualization via a web dashboard, improving error reporting using AWS services.

Employed clustering algorithms to analyze customer behavior and spending patterns, resulting in a segmentation model that enables targeted marketing strategies.