Building intelligent systems

Manish Kadiyala

MANISH KADIYALA

AI Product Manager

From user research and roadmaps to AI agent workflows, product systems that hold up in production, not just in demos.

AI SystemsProduct StrategyUser Research

Trusted by teams at

Manipal Institute of TechnologyTerraSEPLNortheastern UniversityMassachusetts Bay Transportation AuthoritySolvantis AIManipal Institute of TechnologyTerraSEPLNortheastern UniversityMassachusetts Bay Transportation AuthoritySolvantis AI
03Capabilities

What I Do

Full-spectrum product work for teams building ambitious, human-centered systems.

Product Strategy

End-to-end product direction from research and strategy to roadmaps that teams can actually ship against.

  • Discovery & problem validation
  • Roadmapping & prioritization
  • Stakeholder alignment
  • Success metrics

AI Product Systems

LLM-powered workflows designed for production, useful, measurable, and cost-aware from day one.

  • Agent workflow design
  • Evals & quality bars
  • Tokenomics modeling
  • Human-in-the-loop UX

Go-to-Market

Research-backed positioning and iterative validation from prototype through launch.

  • User research & interviews
  • Prototype → MVP
  • Launch planning
  • Feedback loops
04Method

My Process

Week 1 to 2

Understanding users & business goals

Discovery interviews

Research & Strategy

I begin every project with thorough user research and stakeholder interviews to understand the problem space and align on project goals.

// Agent workflow spec
const pipeline = {
 eval: "quality-bar",
 fallback: "human-review",
 tokens: budget(max: 1200)
}

Design & Prototype

From wireframes to interactive prototypes, I bring ideas to life early and enable testing before heavy engineering investment.

Usability +94%

Task success94%
Satisfaction4.8/5

Test & Refine

Through continuous user testing and data analysis, I iterate until experiences deliver exceptional outcomes and measurable results.

05Profile

About Me

Curious about me?

I'm Manish, a Civil Engineer turned Product Manager who's traded hardhats for product roadmaps but kept the same blueprint-style, systems mindset.

Whether I'm uncovering user pain points, sketching the next MVP, or translating tech-speak for stakeholders, my north star stays simple: build solutions that genuinely improve everyday lives.

I combine structured problem-solving with user empathy to ship products that feel sturdy, intuitive, and human-centered.

  • MS Product Development · Northeastern University
  • Open to AI product roles and creative collaborations
  • Friendly, approachable, and always eager to connect