Passionate and curious learner, excelling in end-to-end solution design for superior customer satisfaction. Tech enthusiast hungry for exponential growth, pursuing impactful roles in technology with a strategic, forward-…
Passionate and curious learner, excelling in end-to-end solution design for superior customer satisfaction. Tech enthusiast hungry for exponential growth, pursuing impactful roles in technology with a strategic, forward- thinking mindset.
designing solution, implementing solution and documentation.
Have worked on all the state of the art technologies be it NLP, CV or LLMs fine tuning, Have worked in project delivery, converted POCs to project, Worked in R&D as well, have served in multiple domains healtcare, real-estate, finance,insurance,etc
Orchestrated the seamless migration of a client from Metaflow with an Airflow backend to Kubeflow on Vertex AI Platform.
Transformed a POC into a revenue-generating project that yielded $200,000.
Streamlined workflows, optimized and compared multiple pipeline runs and hyperparameters for significantly faster model development and improved risk prediction in sales and rentals with best Vertex AI practices.
Successfully mentored and led a team of 3 through diverse POCs, fostering growth and maximizing team impact.
Leveraged LangChain and RAGs to optimize LLM models for document summarization and question answering.
Designed a Gemini-powered solution utilizing LangChain, RAGs, and Streamlit to automate data parsing, optimize credit assessments, and expedite loan approvals.
Developed an automated ML reporting tool for PCL-RSHN.
Optimized user experience by allowing users to upload multiple sets of ground truth and prediction datasets.
Implemented the capability allowing user-defined custom metrics templates to generate a customized report.
Enabled user query to view sub-group data and download reports.
Conducted research on NLP models in the healthcare domain like Clinical-BERT, Clinical-XLNet, and Bio-Med RoBERTa.
Researched and implemented different model interpretation techniques like SHAP, LIME, Saliency Map, and Grad-CAM.
Developed a summarizer model using a Document AI pipeline to summarize research papers with a user-defined word limit.
Conducted data analytics and prepared storylines and multiple business use cases from datasets having thousands of patient records.
Developed a chatbot/voice-bot for a blood bank using Dialogflow, Node.js, and webhook boilerplate.
Used RoBERTa and DeBERTa models to automate locating the features in patient score to evaluate candidate performance in the medical exam.
Improved the model performance using random search from 78% to 83%.
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