Experience

Developed BI reports, optimized SQL code, and enhanced data analysis with Oracle PL/SQL. Designed web bolt-ons using Oracle APEX and improved user interface through Oracle Digital Assistant. Spearheaded AI-driven innovation projects for Oracle Cloud, achieving global market publication approvals. Earned Oracle Machine Learning Associate certification and boosted efficiency through Oracle AutoML POCs

Skills: PL/SQL, Oracle APEX,Oracle Digital Assistant, OCI, AutoML, Pytorch, NLP, Research

Conducted an in-depth literature review on image and video super-resolution techniques, analyzing state-of-the-art deep learning models such as ESPCN, EDSR, etc.Tested and evaluated models on benchmark datasets such as REDS, Vimeo-90K, etc, gaining insights into their performance and limitations. Utilized Pytorch, TensorFlow, and relevant toolps; thus strengthening knowledge in computer vision, machine learning, and advanced research methodologies.

Developed and integrated a wearable device project for heart rate detection, ECG measurement, and data retrieval, collaborating with ECG device manufacturers, Isoport Chambers, and conducting research with a senior cardiologist to understand medical parameters and market products.

Skills: Research and Analysis, Communication and Collaboration, Project Management, SDK dev & integration

Worked on road defect detection and road asset identification using AI, image processing, and video analytics techniques. Developed a segmented Indian road defects dataset using CVAT and evaluated it using various models. Explored and implemented architectures like U-Net (with ResNet50, MobileNet, VGG16, and PSPNet backbones) for semantic segmentation of road scenes.

Skills: Video analytics, AI, image processing, semantic segmentation, dataset creation, model evaluation, U-Net, ResNet50, MobileNet, VGG16, PSPNet.

Researched and implemented deep learning models, including ConvNet and image classification, with precise architecture and evaluation metrics, presenting reports and code structures for handwritten digit recognition and super-resolution tasks.

Skills: Deep learning, Convolutional Neural Networks, model development, image recognition, image classification, image super-resolution, MNIST dataset, CIFAR-10 dataset, code optimization.

Conducted extensive research on IOT sensors for ambient temperature and humidity, gathering detailed specifications and assessing options from different suppliers. Collaborated with the company to identify optimal sensor solutions based on preferences and requirements, considering input from relevant personnel.

Skills: Research Skills, Data Analysis, Communication Skills, Temperature and Humidity Sensors