PredictSense• Worked on enabling classification tasks for fine-tuning of OpenAI LLM models• Conducted extensive R&D on Survival Analysis for Crime prediction and Predictive Maintenance•Presently engaged in Research and Development (R&D) focused on LLM and its implementation in Natural Language Processing (NLP) applications

PredictSense• Responsible for development of functionalities on the AutoML platform, coordinate with team members, contribute in product documentation, handle client-facing technical demos and guide peers.• Responsible for expanding the clustering module analytics and visualization to improve user insight by 70%.• Developed Clustering analytics dashboard for marketing use cases.• Improved the timeseries module and conducted R&Ds for concepts related to multiple timeseries model training and evaluation.• Developed custom end-to-end AI business solutions for clients to solve problems using Survival analysis and Change point Detection.• Conducted independent R&Ds into AI/ML concepts revolving around NLP, Clustering, Time series, Survival analysis, Model evaluation, ML algorithms, Analytics dashboard, model probing, Customer retention, Dynamic pricing and Targeted marketing using clustering.

Played a role in unveiling the new logo for the society, streamlining the flow of onlinecontent in our blog page whilst also contributing a blog of my own, publishing of D-BUZZ ( theannual newsletter), organized RIPPLE and ILLUMINATI (literary fests), and led the team inorganizing the first online stalking hunt STALKATHON on Instagram.