Listener. Curious mind. Dog person.
Meet Prajwal
I build at the intersection of human context and intelligent systems. My journey didn't start with code; it started with people. From managing 400+ client engagements, I learned that even the most elegant technical solution is useless if it doesn't solve a human constraint. I spent years listening to stakeholders and aligning complex needs before I ever touched a RAG pipeline. That "people-first" discipline is the bedrock of everything I build today.
As a GWU Fellowship Recipient pursuing my MS in Business Analytics, I've spent the last two years grounding that intuition in rigor. But my learning doesn't stop at the syllabus, I'm a "vibe coder" at heart. I believe in rapid iteration, shipping fast, and building in public. Whether it's architecting Cognisia to help people articulate better or deploying Signals to give leaders real-time decision support, I focus on high-leverage problems.
What I bring to the table:
- •A Product Mindset: I don't just ship features; I solve for the "Why." I bridge the gap between messy business problems and structured AI solutions.
- •Technical Adaptability: From AWS-native architectures to multi-agent AI systems, I step into unfamiliar territory, make sense of the noise, and build the signal.
- •The Bridge: I speak the languages of the data analyst, the software engineer, and the C-suite stakeholder fluently.
I'm not defined by a tool or a title. I'm defined by curiosity, speed, and the drive to build systems that actually move the needle.
Want to see how this journey unfolded? Scroll down.
It started far from code —
in roles where outcomes mattered immediately.
01Curiosity kept pulling me
across disciplines, countries, and unfamiliar tools.
02This site is a record
of that becoming.
03Scroll to explore
how the journey unfolded.
04Timeline
A non-linear path from instinct to systems.
Before I had the words for it.
Mastering the art of stakeholder alignment and high-stakes client delivery before I even knew the formal names for them.
When work started leaving a trail of numbers.
Moving from instinct to evidence by building my first decision-support systems to track performance and identify bottlenecks.
When clarity mattered more than accuracy.
Learning that great product management isn't about being right—it's about translating data into actionable insights for leadership.
Starting again, on purpose.
Stepping into a Master’s at GWU to bridge my business intuition with deep technical rigor and analytics engineering.
Learning didn’t stop at the syllabus.
Evolving into a "vibe coder" and rapid prototyper, building multi-agent AI systems and RAG pipelines from scratch.
Still becoming.
Building at the intersection of human context and autonomous systems, focusing on shipping products that solve messy, real-world problems.
Work, in Perspective
From managing stakeholder expectations to architecting autonomous systems, every chapter has been about increasing the scale of impact.
Consulting & User Research
Refining the "Why" through 400+ discovery sessions to align business goals with technical constraints.
Analytics & Insight Design
Engineering dashboards and decision-support tools that transformed raw data into executive-level clarity.
Full-Stack & Analytics Engineering
Bridging the gap between prototype and production by shipping 10+ scalable analytics and AI-driven applications.
AI Systems Design
Architecting multi-agent ecosystems and RAG pipelines that move beyond chat and into autonomous reasoning.
Infrastructure & Reliability
Designing AWS-deployed environments with a focus on reliability, automation, and seamless system integration.
"Every system I build carries the discipline learned from 400+ client conversations. I don't just build for the code; I build for the user."