- Reduced 90% of manual work by designing a pipeline to perform resource utilization and visualization- Managed diverse research groups to efficiently run their workloads, saving 30% cost and setup time- Enhanced AI model response time up to 10x, boosting operational efficiency and customer satisfaction- Designed a Gen-AI based chatbot, resulting in 10% increase in customer service efficiency and speed- Achieved a 15% increase in total efficiency by developing a process for data management and analysis - Improved 20% developer usability and integration time by making detailed API documentation- Obtained a 60% reduction in model development time with distributed frameworks like Ray and Dask- Implemented Federated Learning System enabling data collaboration, improved privacy and security

Worked on a Project on designing a Position and Rotation Invariant Framework for Sign Language Recognition (SLR) using Microsoft Kinect Device Data,CNN,LSTM ,Autoencoders in collaboration with IIT ROORKEE.

Implemented an architecture using convolution networks to predict DTI values and list ligands expected to have the highest binding affinity with S-glycoprotein of 2019 n-CoV.

Worked on Designing a Medical Chatbot System on a medical e-commerce app using Web Scraping for collecting Data, NLP techniques (TF-IDF Vectorization, Cosine Similarity) for building corpus, Data Processing and generating response, FLASK for making REST API .

Worked on Data Analysis which includes scraping and analyzing data from grocery websites .