Abhilash Satheesh

Architected and built an end-to-end appointment booking microservice integrating with Happilee, enabling dynamic in-chat booking using routed real-time dropdown and date picker data. Contributed full-stack features (TypeScript, Node.js, Sequelize, React) to Happilee and supported the WhatsAround backend; also built a Promotion Engine for coupon CRUD/validation/redemption and an Insurance Premium R

Developed a Random Forest-based nutrient prediction model for real-time soil health monitoring within an automated polyhouse farming system. Contributed to a computer vision disease detection pipeline using an image retrieval and NLP-based fallback/confirmation mechanism, achieving 98% detection accuracy.

Built a face recognition system combining Haar Cascade and FaceNet with cosine similarity-based identification. Upgraded the pipeline using MTCNN detection and Inception ResNet V1 feature extraction, achieving above 90% recognition confidence across varied lighting and occlusion conditions.

Built a Unity-based reinforcement learning agent using multi-camera inputs to autonomously navigate and park in dynamic traffic environments. Developed CNN-based cosmic object identifier and chatbot prototypes, including a Dialogflow ticket-booking assistant that automated 80% of user queries.

Grade: CGPA: 9.07/10

Activities and societies: Honours in Computer Vision; Minor in Mechatronics; Department topper.

B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SCT College of Engineering from Nov 2021 to Apr 2025. Earned honours in Computer Vision and a minor in Mechatronics.