Masharai Borah
AI & Machine Learning Engineer building production-ready AI
New to Contra
Masharai is ready for their next project!
I'm currently building Finite, an enterprise AI engineering company focused on designing production-ready AI systems that help organizations adopt Artificial Intelligence with confidence.
At Finite, I'm developing platforms that combine:
š§ Machine Learning
š¤ Large Language Models (LLMs)
š AI Agents
š Retrieval-Augmented Generation (RAG)
āļø Workflow Automation
šļø Enterprise AI Architecture
āļø Cloud-Native Engineering
My goal isn't just to build AI applicationsāit's to build reusable AI platforms that solve real business problems across healthcare, enterprise software, financial technology, emergency response, and intelligent automation.
Every project is designed with scalability, governance, security, and long-term maintainability in mind.
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TrackMind is an AI-powered Thoroughbred Racing Intelligence Platform that I designed to help owners, trainers, breeders, bloodstock agents, and racing organizations make more informed decisions using Artificial Intelligence and Machine Learning. The platform combines predictive analytics, machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent AI agents, and racing data analytics to transform complex racing and breeding data into actionable insights. It is designed to evaluate pedigree, performance, speed figures, race conditions, training patterns, and historical results while providing AI-assisted recommendations for race analysis, bloodstock evaluation, performance forecasting, and stable management. Built with a scalable, cloud-native architecture, TrackMind demonstrates how AI can modernize the thoroughbred racing industry through intelligent automation, advanced analytics, and data-driven decision support.
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Finite is an enterprise AI company I founded to help organizations design, build, and deploy intelligent software that transforms business operations through Artificial Intelligence, Machine Learning, and enterprise automation. I architect AI-powered platforms that combine Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent AI agents, predictive machine learning, workflow automation, and cloud-native software engineering to solve complex business challenges. My work spans healthcare, financial technology, enterprise software, robotics, and digital transformation, with a focus on scalable architectures, AI governance, security, and measurable business outcomes. Finite serves as the foundation for developing production-ready AI solutionsāfrom intelligent assistants and enterprise copilots to decision-support systems and industry-specific AI platforms that enable organizations to adopt AI with confidence and long-term scalability.
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DooorLab is a next-generation Cognitive AI Studio that I designed and architected to help organizations design, orchestrate, govern, evaluate, and deploy production-ready AI systems through a unified platform. The studio combines Large Language Models (LLMs), machine learning, intelligent AI agents, Retrieval-Augmented Generation (RAG), enterprise knowledge management, workflow automation, and model evaluation into a modular AI operating environment. It provides a centralized workspace for developing AI assistants, multi-agent systems, enterprise automation, data annotation, prompt engineering, model evaluation, and AI governance while supporting scalable cloud-native deployment. The platform is designed to accelerate AI development, improve collaboration, and enable organizations to build secure, maintainable, and enterprise-ready AI solutions from experimentation through production.
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