Project : Mystique (Platform to build AI models):• Conducted model training over structured data for Classification, Regression, and Time-seriesanalysis using ANN architecture.• Utilized CNN base ResNet architecture to process images, applying deep learning techniquesfor image classification and feature extraction.• Implemented BERT Large Language Model, leveraging its transformer-based architecturefor accurate text categorization.• Implemented T5 Large Language Model for text summarization, utilizing its transformer-based architecture.• Implemented Pix2Struct architecture to convert images into text.• Developed generative AI solutions using MetaGPT, leveraging its advanced transformerarchitecture for creating high-quality, contextually relevant content.• Framework used is PyTorch Lightning for model implementation, MLflow forexperiment management, and Hydra for configuration management.• Data collection using Selenium and Beautiful Soup.• Skills – Python, Py-Torch lighting (Frame-work), Transformers, CNN, ANN, LLM,Structured-data, Pandas, Beautiful-Soup, Git (version control), Linux, Conda(environment setup)Project : Learning Analytic Collaborative (LAC):• Led teams as Developer, Team Lead (Data Analysis), and Client Handler, overseeing projectsfrom inception to delivery.• Conducted data wrangling and transformation tasks proficiently using Python and Pandas.• Developed robust API using Django framework and seamlessly integrated with PostgreSQLfor efficient data management.• Implemented automated email notifications with file attachments Using Microsoft O365.• Skills - Python, Pandas, Django(framework), PostgreSQL, Linux, JavaScript APIdevelopment, client handling, email notifications

Classic Stripes - Mumbai, MaharashtraAugust 2018 to PresentMachine Learning Projects :-I. Face Recognition (Liveness, to authenticate user using camera):• Technology: Python, Tensorflow, OPENCV, Face Recognition, Raspberry-pi, Electro-Node JS. II. Count Object - Decal (Find number of stripes printed, using camera and GPIO pin):• Technology: Python, OPENCV, Raspberry-pi, numpy, Electro-Node JS.III. Decal Inspection (Find Bugs in Stripes using camera)• Technology: Python, OPENCV, numpy, Image-magic, MY-SQLIV. Audio Commands (Give voice command to system using mic and speaker):• Technology: Python, speech_recognition, pyttsxV. Temperature and Humidity Alert ( mail alert for room temperature )• Technology: Raspberry-pi, python.

Experienced Software Engineer with a demonstrated history of working in the hospital & health care industry. Skilled in Data Center, Python, Java, Data Analysis, and C. Strong education professional with a Master's degree focused in Information Technology from Vellore Institute of Technology.