MLGlow helps you to transform your business operations with AI technologies. We are experts in bringing artificial intelligence (AI) & machine learning (ML) intelligence to production rapidly. We offer support to businesses to create end-to-end AI, ML and Data Science pipelines to solve business problems.

Developed various real-time Edge AI video analytics softwares. Applications included object detection, segmentation, and tracking, using a stack of NVIDIA Jetson-DeepStream, YOLO vision models, Terraform, and AWS GreenGrass. Developed various LLM based NLP applications. Applications included intelligent custom search (Google-like) and cognitive analytics, utilizing a stack of Azure OpenAI, Azure Cognitive Search, LangChain, Llama, Streamlit and Databricks.

Assisted clients in adopting an AI-first strategy to facilitate the digital transformation of their businesses. Utilized white-box AI models with explainable AI (XAI) technologies to gain deep insights into model behaviors. Provided support and expert advice on swiftly bringing Proof-Of-Concept models to production.

Identified AI use-cases for the insurance business and created an AI roadmap for production applications. Processed large volumes of customer data to derive insights and built GDPR-compliant ML products. Developed and deployed a REINFORCEMENT LEARNING software in production and created a REINFORCEMENT LEARNING EXPERIMENTATION software. Undertook various small-scale projects focused on business data analytics.

Collaborating with organisations from varieties of sectors to transform their products and services using state-of-the-art artificial intelligence and machine learning solutions. Providing consulting services as an AI expert.

Solved open-set recognition problems and deployed reinforcement learning (RL) models in production. Provided expert advice on AI applications in spectral imaging and natural language processing (NLP), focusing on leveraging state-of-the-art trends in industrial AI to deliver innovative and effective solutions.

Developed various machine learning and advanced analytics (SaaS) applications for the energy sector. Some of the key applications include: Reinforcement Learning-based grid topology optimisation, Natural Language Processing-based maintenance protocol creation, Supervised/Reinforcement learning-based dynamic pricing & customer profiling applications.

Focused on bringing generic Artificial Intelligence and Machine Learning solutions to Business, Education and Entertainment. The business activities encompass sectors such as healthcare, aeronautics, aviation, education, etc.

Brought various machine learning algorithms and technologies to the proprietary process integration & design optimisation (PIDO) software. Some of the technologies include: Neural Networks, Regression Trees, AI assisted autonomous optimisers, etc.

Developed novel AI/ML algorithms to fuse data emanating from multiple sources (sensor, experiments, simulations, etc.) while building efficient AI/ML models (or digital twins). The algorithms & novel methodologies were applied for problems from varieties of sectors: Engineering design & optimisation, Biological modelling, WiFi QoS modelling, Antenna designs, Aerodynamic shape optimisation, etc.

Research activities were funded by FWO-Belgium. Conducted specific research on developing machine learning technologies in building sample (data) efficient models for engineering design and optimisation (electrical antenna design & aerodynamic shape optimisation in particular).

Collaborative efforts toward developing parametrisation based aerodynamic design practices to build machine learning models & simulation digital twins.

Taught aircraft engineering to undergraduate students.