Building scalable AI products that transform how enterprises leverage LLMs, ML platforms, and data-driven intelligence

I'm a Senior Technical Product Manager with 6+ years specializing in AI/ML products, LLM applications, and enterprise data platforms. I bridge the gap between cutting-edge AI technology and business value, shipping products that scale to millions of users while maintaining technical excellence.

• Product Strategy & Execution: Lead 0-1 product development for AI-powered B2B SaaS solutions
• LLM & Gen AI Products: Design and ship RAG systems, prompt engineering frameworks, and AI agent architectures
• Platform Engineering: Build ML infrastructure, data pipelines, and developer platforms that scale
• Technical Leadership: Partner with engineering teams on system design, architecture decisions, and technical roadmaps
• Data-Driven Decision Making: Define metrics, run experiments, and optimize products through analytics

"Great AI products are 10% algorithms and 90% understanding user problems, building the right abstraction, and creating delightful experiences that just work."

Building production-ready systems leveraging large language models:

• RAG Systems: Retrieval-augmented generation pipelines with vector databases
• Prompt Engineering Frameworks: Systematic approaches to LLM optimization
• AI Agent Architectures: Multi-agent systems with tool use and memory
• Fine-tuning Pipelines: Domain-specific model adaptation

Product Skills Demonstrated: Requirements gathering, technical specifications, user research, success metrics

👉 View LLM Projects | LLMs Repository

Enterprise-grade machine learning products and data platforms:

• Predictive Analytics: ML models deployed in production with monitoring
• Data Platforms: Scalable data infrastructure for analytics and ML
• Feature Engineering: Reusable feature pipelines and stores
• Model Deployment: MLOps practices and model serving

Product Skills Demonstrated: Go-to-market strategy, stakeholder management, technical trade-offs

👉 View ML Projects

Examples of product thinking, technical documentation, and leadership:

• System Design: Architecture decisions for scalable AI systems
• Product Requirements: Detailed PRDs and technical specifications
• API Design: Developer-first API products
• Interview Prep: TPM interview frameworks and system design

Product Skills Demonstrated: Technical writing, cross-functional leadership, strategic planning

👉 View TPM Resources

• 🔨 Building advanced RAG systems with hybrid search and reranking
• 📚 Exploring LLM evaluation frameworks and benchmarking methodologies
• 🏗️ Designing AI agent architectures for enterprise workflows
• 📖 Writing about AI product management and technical leadership
• 🚀 Contributing to open-source ML/AI tools and frameworks

• Deep customer interviews and user research
• Competitive analysis and market sizing
• Technical feasibility assessments
• Data-driven hypothesis formation

• North star metrics and OKRs
• Product roadmaps with engineering partnerships
• Technical architecture and system design collaboration
• Go-to-market and pricing strategy

• Agile/Scrum ceremonies and sprint planning
• PRDs, technical specs, and API documentation
• A/B testing and experimentation frameworks
• Launch planning and stakeholder communication

• Analytics dashboards and KPI tracking
• User feedback loops and NPS monitoring
• Performance optimization and technical debt management
• Post-mortems and continuous improvement

I'm always interested in discussing:

• 🤖 AI product strategy and LLM applications
• 🏗️ Building technical products and platform engineering
• 💡 Technical product management best practices
• 🚀 Enterprise B2B SaaS and go-to-market

Reach out:

• 📧 Email: tusshaarprasad@gmail.com
• 💼 GitHub: @tusshaarpd
• 📍 Location: Bengaluru, India