Lead the development and implementation of AI/ML solutions to enhance customer experience across digital platforms, specializing in:- Large Language Models (LLMs) for text summarization and conversational AI- Generative AI for image creation and manipulation using Stable Diffusion- Custom image generation pipelines utilizing Fooocus and Flux AI- Retrieval Augmented Generation (RAG) applications for improved information access- Knowledge graph development and ontology engineering- Natural Language Processing (NLP) and understanding- Intelligent chatbot development and deployment- Metadata extraction from multimodal sources (text, audio, video)- Customer relationship management and personalizationKey Responsibilities:- Architect and implement end-to-end AI solutions from concept to production- Design and deploy generative AI systems for visual content creation- Build and optimize image generation models and pipelines- Design and maintain knowledge graphs and ontologies for structured data representation- Develop production-grade language models for content summarization- Create intelligent chatbot systems for enhanced customer engagement- Consult with stakeholders to transform business requirements into technical solutions- Lead cross-functional collaboration to align AI initiatives with business objectives- Drive innovation in multimodal AI systems and knowledge management

Domain- Natural Language ProcessingText analytics of dataset collected from dark web▪ Clustered Millions of articles into n different clusters , grouped and tagged similar articles.▪ Used topic modelling on each cluster for discovering the abstract "topics" that occur in a collection of documents.▪ Created abstractive summaries for each cluster, for better understanding and quick overview of each cluster

Domain - Natural Language ProcessingCreated an end to end Deep-learning text classification system(BERT-LSTM) for detecting/predicting covid-19 fake news with visually interpretable results and deployed on cloud.

Worked as Data Analyst and developed a software of productivity for Material Science Department.Explored the xml result data. Extracted and visualized the necessary information.Used regression models to predict the outcome. Designed UML models for betterunderstanding flow of the program.

Domain- Computer vision (labelling systems)Worked on Project called Labeling system for dynamic 3D point cloudsCreated a model to visualize and manipulate 3d point cloud. Researched, Implemented and inspected various Github models like Semantic Segmentation Editor, Latte, Spervisely

Worked on a college project called Kraken.▪ Implemented features like single sign-on SSO, LOGIN etc.▪ Integrated functionality of existing application on top of new application UI.▪ Designed user interface in XAML (WPF)▪ API used: RESTSharp▪ Framework used : Entity framework▪ Version control: Github

Custom code modifications of helpdesk according to clients requirement, solved bugs listed on Jira, designed. Created custom sql queries for creating reports for the clients dataset. Understood client’s requirements and solved issues over the audio/video calls, remote desktop connections

Worked on an ecommerce inventory management software. Integrated new features into existing projects and solved the bugs in the specified timeframe ensuring 99%of server uptime. Wrote database documentation, including data standards, procedures and definitions for the data dictionary