Designing AI systems.Shipping them to production.
From intent to production — with AI as a co-developer and human judgment in control.
I optimize for time-to-value: production-ready systems, not prototypes.
MY PHILOSOPHY
Code is no longer the constraint. Thinking is.
I believe the most powerful developers of this era won't be defined by languages they know, but by systems they can imagine. From my first React component to integrating Google Gemini into a voice assistant, I've learned that the real skill is knowing what to build — AI handles the how.
I use AI as a co-developer. Every project in my portfolio was built with AI-assisted development — not as a crutch, but as a force multiplier. This isn't about replacing skill with prompts. It's about amplifying human judgment with machine execution.
Prompt engineering is architecture.
Iteration is intelligence.
Shipping is the only metric.
How I Build
A systematic approach to AI-assisted development
Idea & Intent
Define the outcome, not the output. Clarify user needs and success criteria.
AI-Assisted Research
Use LLMs to explore architectures and generate initial specs
Prompt Engineering
Translate vision into structured prompts for AI generation
System Architecture
Design data flows and APIs. Human decisions, AI documentation.
AI-Assisted Generation
Frontend, backend, and database code. Human-reviewed, human-refined.
Test, Iterate, Ship
Debug with AI, iterate on feedback, deploy to production.
Projects
AI-powered solutions, from concept to production
About
I'm Sagar Wavhal — a GenAI Developer & AI Systems Builder and final-year Computer Engineering student. I design and ship AI-assisted full-stack applications, using AI as a co-developer and human judgment as the control layer.
- —Final-year Computer Engineering student
- —Built and shipped 4 AI-assisted systems
- —Focused on time-to-value, not prototypes
- —Comfortable owning systems end-to-end
- —Believe AI amplifies thinking, not replaces it
I care less about tools and more about outcomes.
Education
B.E. Computer Engineering
Final-year student (Expected 2026)
Current Focus
- GenAI development
- AI-assisted full-stack applications
- System-oriented project building
- Learning ML & LLM foundations
Highlights
- Innovate You Techathon 2.0 Winner — First place — AI + Blockchain solution
- IBM SkillsBuild Frontend Internship — React development foundations
- freeCodeCamp Certified — Responsive Web Design
GenAI Skills Stack
The tools and techniques I use to build intelligent systems
Prompt Engineering
- Chain-of-thought design
- Few-shot prompting
- System prompt architecture
- Context optimization
LLM Integration
- Google Gemini API
- OpenAI API
- Prompt-to-code workflows
- AI-assisted debugging
Agentic Patterns
- Web Speech API integration
- Real-time AI responses
- Multi-step generation
- Offline-first AI systems
AI-Assisted Full Stack
- React (AI-generated components)
- Node.js (AI-scaffolded APIs)
- MongoDB (AI-designed schemas)
- TypeScript strict mode
Traditional Foundations
- Next.js / React
- Express / Node.js
- MongoDB / SQL
- Redux / Socket.io
Deployment & DevOps
- Vercel (AI-ready)
- Git workflows
- CI/CD pipelines
- Performance optimization
Learning & Credentials
Engineering fundamentals meet AI specialization — building the foundation to design, ship, and scale GenAI systems.
B.E. Computer Engineering
P.D.E.A.'s College of Engineering, Pune
Expected May 2026
- →Integrating LLM APIs into production applications
- →Building AI-assisted development workflows
- →Prompt engineering for code generation
- →Architecting offline-first AI systems
Diploma in Data Science & ML with Gen AI
Gamaka AI
In Progress
Building foundational ML & Data Science knowledge to complement AI-native development — the core layer behind every GenAI system.
- →Data Science & Machine Learning fundamentals
- →Generative AI architecture & applications
- →LLM internals & prompt engineering depth
“Most GenAI courses teach API wrappers. This builds the core — statistics, ML pipelines, and model internals — so I can architect systems, not just consume them.”
WHAT I'M BUILDING TOWARDS
→AI agents that reason, not just respond
→Systems that learn from their outputs
→Interfaces that anticipate intent
→Tools that make human creativity limitless
Development is being rewritten.
I'm here to help write the next chapter.
Let's build something intelligent.
Open to collaborations, internships, and ambitious projects.
© 2026 Sagar Wavhal | GenAI Developer & AI Systems Builder