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
π 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
π 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
π View TPM Resources
- π¨ Building advanced RAG systems with hybrid search and reranking
- π Exploring LLM evaluation frameworks and benchmarking methodologies
- ποΈ Designing AI agent architectures for enterprise workflows
- π Writing about AI product management and technical leadership
- π 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:
- π€ AI product strategy and LLM applications
- ποΈ Building technical products and platform engineering
- π‘ Technical product management best practices
- π Enterprise B2B SaaS and go-to-market
Reach out:
- π§ Email: tusshaarprasad@gmail.com
- πΌ GitHub: @tusshaarpd
- π Location: Bengaluru, India