Technical Architect | Software Engineering Leader | .NET, AI/ML, LangChain & Azure | GenAI Architect | Remote-Ready

Bengaluru

Remote



Mumbai Area, India







Master of Science (MSc), IT
University of Mumbai
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Download Tal BossTechnical Architect | Software Engineering Leader | .NET, AI/ML, LangChain & Azure | GenAI Architect | Remote-Ready
Software Engineering Leader with 13+ years of experience delivering enterprise-grade solutions for global clients. I specialize in .NET (C#, ASP.NET Core), AI/ML, LangChain, RAG pipelines, GenAI integrations, and cloud-native architectures on Microsoft Azure. I work remotely with USA and EU clients, offering flexible scheduling Core expertise: • Full-Stack .NET Development (C#, ASP.NET Core, REST APIs, Microservices) • AI/ML Engineering — LangChain, RAG, Vector Databases, OpenAI/Azure OpenAI • Cloud Architecture — Azure (App Services, Functions, AKS, Cosmos DB, Service Bus) • GenAI & Prompt Engineering — Custom LLM pipelines, chatbots, document intelligence • Mobile Development — Cross-platform apps (iOS & Android) • Technical Leadership — Cross-functional teams, code reviews, architecture decisions I have successfully delivered projects across fintech, healthtech, and SaaS domains, working with international teams across the USA, UK, and EU. My focus is on scalable architecture, rapid delivery, and clean code. Available for: Remote contract/freelance engagements, long-term consulting, and project-based work with USA & EU companies. Let's connect .
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Technical Architect at Trika Technologies, Sep 2024 - Present · 2 yrs 1 mo, Bengaluru, Technical Architect driving product development while actively expanding into AI/ML technologies 🔧 Core Leadership Responsibilities: • Lead cross-functional engineering teams in full-stack development and product delivery • Architect scalable software solutions and technical infrastructure • Mentor developers in engineering best practices and modern development workflows • Drive technical strategy and oversee project execution from concept to production • Collaborate with stakeholders to deliver high-quality software products 🤖 AI/ML Learning & Exploration: • Building foundational projects using LangChain framework for LLM applications • Experimenting with RAG (Retrieval-Augmented Generation) architectures • Exploring generative AI integration and prompt engineering techniques • Learning vector database implementations for semantic search • Applying software engineering principles to AI/ML problem-solving 💡 Technical Stack: Node.js, Python, React, System Design, Cloud Infrastructure, LangChain (learning), RAG (exploring)
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Master of Science (MSc), IT, University of Mumbai