Driving $150K+ ARR with AI-Native Products.

Phase#1
2022
Phase#2
2023
Phase#3
2023
Phase#4
2024–Present
Phase #01
2022
Phase #02
2023
Phase #03
2023
Phase #04
2024–Present
I never really wanted to go to college — not in the traditional sense. While everyone focused on lectures and exams, I spent most of my time learning skills that genuinely excited me. Coding. Automation. AI workflows. That's where my curiosity turned into obsession. Those early years weren't about grades — they were about building things that worked. This mindset became the foundation for everything that happened next.

At Telaverge, I worked across backend systems, automation, and cloud deployment. I automated Kubernetes workflows, built secure REST APIs, and delivered backend features using Python, FastAPI, Docker, and AWS. I also improved release performance with Docker-based testing on Linux.
At HeyDaw, I led backend development for an AI Copilot. I migrated APIs to FastAPI, set up AWS CI/CD, and automated DAW workflows for faster performance. I fine-tuned GPT models, built AI features with LangChain and Pinecone, and integrated rhythm and speech-to-text APIs.
I developed core skills in backend engineering, AI pipelines, automation, and scalable systems—forming the technical base that prepared me for Persist Ventures.
(October 2023)
Startupthon backed by persist ventures, is a challenge where builders pick an idea, create a prototype, record a Loom walkthrough, get feedback, iterate — and winners join Persist Ventures with equity.
My submission was FaceSearch AI.
I built it fast, refined it, and delivered something that immediately stood out.
Startupthon was the launchpad for building FaceSearch AI and stepping into high-impact leadership roles.




As more projects came my way, especially after building FaceSearch AI - the workload exploded. Jack (CEO) saw my consistency and told me: "Stop doing everything alone. Start hiring."
I was nervous. I worried that the team I hired might outperform or replace me. But I still did it — and it became one of the best decisions of my career.
I built a small team, taught them, guided them… And together, we delivered faster, smarter, and at a much bigger scale. That team became the base for my move into leadership roles.
I led engineering for the entire venture network.
Highlights:
I started overseeing operations, investors, clients, and cross-border delivery.
And during all of this… I still oversaw FaceSearch AI's growth. Product improvements, user scaling, partnerships — all managed alongside my PV responsibilities.
Harnessing AI and technology to build innovative solutions across industries
AI-driven tools platform
Blockchain platform with GIF ranking algorithm
RV navigation and planning application
AI insights platform
E-commerce application
Professional networking platform for healthcare
AI video generation platform
Generative AI for music
Recognition and certifications in technology and AI
1st Place — Hash Code 2022
Amazon ML School — National Selection
Microsoft Data Scientist (DP-100)
Azure AI Fundamentals
IBM Data Science Professional
Deep Learning Specialization
Let's connect and explore opportunities