something close to https://arxiv.org/pdf/2510.08159 and we will be doing more that this paper and with newer algorithms like SQD and see how to come with SQD type approaches for say QML/QOptimization type algos.. we will discuss once u start. But jus

The project aims to build an software engineering (SWE) agent for an open-source project similar to SWE-bench work https://openreview.net/pdf?id=VTF8yNQM66. Since the scope includes multiple tasks, this framework will be a multi-agent orchestrator wi

Retrieval-Augmented Generation (RAG) systems have become a core pattern for building intelligent applications that use enterprise data for AI-assisted interpretation and question-answering. Traditional RAG pipelines primarily rely on structured text

Analyze and transform structured dataset as per user requirements using Apache Spark and Python. Engineer a data pipeline to extract the raw data from source, create and maintain the source data in Data Lake using IBM Cloud Storage Instances. Apply r

Automated evaluation and grading of answers leveraging IBM Data Prep Kit

GraphQL is a powerful query language for APIs that allows clients to fetch precise data efficiently and flexibly, querying multiple resources with a single request. However, crafting complex GraphQL query operations can be challenging. Large Language

explore different LLMs, different chunking strategies, evaluation metrics and protocols for agentic AI applications

Legal documentation processes are time-intensive, require specialized expertise, and are prone to human error, impacting efficiency and accuracy in handling complex agreements like MoUs, NDAs, and contracts.

Develop a solution that enables users to search and analyse food products, providing comprehensive insights into ingredient composition and health impact, including image-based analysis and personalized calorie tracking.