My stack spans AI systems, data workflows, and full-stack execution.
From designing agent architectures to building production-ready APIs and dashboards, I use these tools to turn complex problems into clear, working products.
My Tech Skills
My stack spans AI systems, data workflows, and full-stack execution.
From designing agent architectures to building production-ready APIs and dashboards, I use these tools to turn complex problems into clear, working products.
My Tech Skills
My stack spans AI systems, data workflows, and full-stack execution.
From designing agent architectures to building production-ready APIs and dashboards, I use these tools to turn complex problems into clear, working products.
My Tech Skills
My stack spans AI systems, data workflows, and full-stack execution.
From designing agent architectures to building production-ready APIs and dashboards, I use these tools to turn complex problems into clear, working products.
14:11
Nov 15, 2025
My Tech Skills
LangGraph
LangGraph is my primary framework for orchestrating multi-step AI product workflows.
I use it to design structured pipelines—Intent parsing, slot extraction, tool routing, data retrieval, visualization, and reasoning.
This aligns with PM responsibilities like designing product logic, defining states, and ensuring predictable system behavior.LangGraph
LangGraph is my primary framework for orchestrating multi-step AI product workflows.
I use it to design structured pipelines—Intent parsing, slot extraction, tool routing, data retrieval, visualization, and reasoning.
This aligns with PM responsibilities like designing product logic, defining states, and ensuring predictable system behavior.LangGraph
LangGraph is my primary framework for orchestrating multi-step AI product workflows.
I use it to design structured pipelines—Intent parsing, slot extraction, tool routing, data retrieval, visualization, and reasoning.
This aligns with PM responsibilities like designing product logic, defining states, and ensuring predictable system behavior.LangGraph
LangGraph is my primary framework for orchestrating multi-step AI product workflows.
I use it to design structured pipelines—Intent parsing, slot extraction, tool routing, data retrieval, visualization, and reasoning.
This aligns with PM responsibilities like designing product logic, defining states, and ensuring predictable system behavior.RAG / LangChain
I build retrieval pipelines that support policy comparison systems, data-driven assistants, and domain-specific Q&A.
This includes embedding selection, vector-store design, chunking strategy, and filtering rules—all of which are crucial in defining an AI product’s knowledge layer.RAG / LangChain
I build retrieval pipelines that support policy comparison systems, data-driven assistants, and domain-specific Q&A.
This includes embedding selection, vector-store design, chunking strategy, and filtering rules—all of which are crucial in defining an AI product’s knowledge layer.RAG / LangChain
I build retrieval pipelines that support policy comparison systems, data-driven assistants, and domain-specific Q&A.
This includes embedding selection, vector-store design, chunking strategy, and filtering rules—all of which are crucial in defining an AI product’s knowledge layer.RAG / LangChain
I build retrieval pipelines that support policy comparison systems, data-driven assistants, and domain-specific Q&A.
This includes embedding selection, vector-store design, chunking strategy, and filtering rules—all of which are crucial in defining an AI product’s knowledge layer.
GPT / Claude APIs
I integrate LLMs as core components of workflows—analysis, planning, code generation, summarization, and interpretation.
I design system prompts, tool schemas, and reasoning strategies that turn LLMs into reliable product features rather than unpredictable text generators.GPT / Claude APIs
I integrate LLMs as core components of workflows—analysis, planning, code generation, summarization, and interpretation.
I design system prompts, tool schemas, and reasoning strategies that turn LLMs into reliable product features rather than unpredictable text generators.GPT / Claude APIs
I integrate LLMs as core components of workflows—analysis, planning, code generation, summarization, and interpretation.
I design system prompts, tool schemas, and reasoning strategies that turn LLMs into reliable product features rather than unpredictable text generators.GPT / Claude APIs
I integrate LLMs as core components of workflows—analysis, planning, code generation, summarization, and interpretation.
I design system prompts, tool schemas, and reasoning strategies that turn LLMs into reliable product features rather than unpredictable text generators.
FastAPI
I design modular backend systems that support authentication, agent routing, API orchestration, and usage tracking.
This includes building service boundaries, error-handling flows, and scalable API endpoints that align with product requirements.FastAPI
I design modular backend systems that support authentication, agent routing, API orchestration, and usage tracking.
This includes building service boundaries, error-handling flows, and scalable API endpoints that align with product requirements.FastAPI
I design modular backend systems that support authentication, agent routing, API orchestration, and usage tracking.
This includes building service boundaries, error-handling flows, and scalable API endpoints that align with product requirements.FastAPI
I design modular backend systems that support authentication, agent routing, API orchestration, and usage tracking.
This includes building service boundaries, error-handling flows, and scalable API endpoints that align with product requirements.
Python
Python is the base for implementing product logic—agent state machines, data transformations, analytics pipelines, simulation tools, and prototype features.
I use it to turn product requirements into operational components.Python
Python is the base for implementing product logic—agent state machines, data transformations, analytics pipelines, simulation tools, and prototype features.
I use it to turn product requirements into operational components.Python
Python is the base for implementing product logic—agent state machines, data transformations, analytics pipelines, simulation tools, and prototype features.
I use it to turn product requirements into operational components.Python
Python is the base for implementing product logic—agent state machines, data transformations, analytics pipelines, simulation tools, and prototype features.
I use it to turn product requirements into operational components.
Supabase (Auth / DB / Storage)
I design user authentication, data persistence, and file-handling flows using Supabase.
This enables rapid MVP development while maintaining a clean product architecture suitable for PM-driven iteration.Supabase (Auth / DB / Storage)
I design user authentication, data persistence, and file-handling flows using Supabase.
This enables rapid MVP development while maintaining a clean product architecture suitable for PM-driven iteration.Supabase (Auth / DB / Storage)
I design user authentication, data persistence, and file-handling flows using Supabase.
This enables rapid MVP development while maintaining a clean product architecture suitable for PM-driven iteration.Supabase (Auth / DB / Storage)
I design user authentication, data persistence, and file-handling flows using Supabase.
This enables rapid MVP development while maintaining a clean product architecture suitable for PM-driven iteration.
Pandas / NumPy
These tools allow me to verify datasets, compute KPIs, design validation steps, and perform lightweight analysis before embedding them into product flows.
This reflects the PM responsibility of verifying assumptions and validating product behavior with real data.Pandas / NumPy
These tools allow me to verify datasets, compute KPIs, design validation steps, and perform lightweight analysis before embedding them into product flows.
This reflects the PM responsibility of verifying assumptions and validating product behavior with real data.Pandas / NumPy
These tools allow me to verify datasets, compute KPIs, design validation steps, and perform lightweight analysis before embedding them into product flows.
This reflects the PM responsibility of verifying assumptions and validating product behavior with real data.Pandas / NumPy
These tools allow me to verify datasets, compute KPIs, design validation steps, and perform lightweight analysis before embedding them into product flows.
This reflects the PM responsibility of verifying assumptions and validating product behavior with real data.
Tableau
I build dashboards and visual layers used in research, reporting, and product validation.
This includes mapping KPIs to user needs—essential for PMs designing insight-driven features.Tableau
I build dashboards and visual layers used in research, reporting, and product validation.
This includes mapping KPIs to user needs—essential for PMs designing insight-driven features.Tableau
I build dashboards and visual layers used in research, reporting, and product validation.
This includes mapping KPIs to user needs—essential for PMs designing insight-driven features.Tableau
I build dashboards and visual layers used in research, reporting, and product validation.
This includes mapping KPIs to user needs—essential for PMs designing insight-driven features.
Next.js
I build production-level UIs for AI services—dashboards, editors, data-upload flows, RAG interfaces, and scheduling tools.
This ensures that product ideas are validated with real users instead of living only in documentation.Next.js
I build production-level UIs for AI services—dashboards, editors, data-upload flows, RAG interfaces, and scheduling tools.
This ensures that product ideas are validated with real users instead of living only in documentation.Next.js
I build production-level UIs for AI services—dashboards, editors, data-upload flows, RAG interfaces, and scheduling tools.
This ensures that product ideas are validated with real users instead of living only in documentation.Next.js
I build production-level UIs for AI services—dashboards, editors, data-upload flows, RAG interfaces, and scheduling tools.
This ensures that product ideas are validated with real users instead of living only in documentation.Figma
I design wireframes, dashboards, and UI components that express product intent clearly.
This supports the PM responsibility of aligning teams around a shared product vision.Figma
I design wireframes, dashboards, and UI components that express product intent clearly.
This supports the PM responsibility of aligning teams around a shared product vision.Figma
I design wireframes, dashboards, and UI components that express product intent clearly.
This supports the PM responsibility of aligning teams around a shared product vision.Figma
I design wireframes, dashboards, and UI components that express product intent clearly.
This supports the PM responsibility of aligning teams around a shared product vision.
