Jaypal Sagar · Engineering portfolio

Software, built
with purpose.

Senior Software Engineer · Full-Stack Developer · AI Product Builder

I bring 12 years of software development experience, including 5 years working with JavaScript, Node.js, React, and Next.js, and the last 2 years focused on AI. I build web applications and APIs, work with AWS, and use AI-assisted development to turn ideas into software.

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Engineering toolkit

01JavaScript / Next.js / React
02Node.js / REST APIs
03AWS / Docker / Git
04Jira / AIDLC / AI coding tools

12 years in software development · 5 years with the JavaScript stack · 2 years focused on AI.

Technical skills

What I work with

12 years of software development, with a current focus on JavaScript, cloud tooling, and AI-assisted engineering.

JavaScript & web applications

5 years building interfaces and backend APIs with JavaScript, Node.js, React, and Next.js.

JavaScript
Next.js
React
Node.js
TypeScript
REST APIs

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Cloud & delivery

Cloud infrastructure, containerized development, version control, and planning software delivery.

AWS
Docker
Git
Jira

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AI-assisted development

My focus over the last 2 years: AI-assisted development, following AIDLC and using AI coding tools to build software.

AIDLC
Kiro
Amazon Q
Claude AI
ChatGPT
Codex

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Actively learning

Generative AI & agentic systems

My learning roadmap: from language-model fundamentals and retrieval to tool-connected agents and dependable AI applications.

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Generative AI

LLMs
Prompt engineering
Context engineering
Structured outputs
Multimodal AI
Fine-tuning & LoRA

Retrieval & knowledge

RAG
Embeddings
Vector databases
Chunking & indexing
Hybrid search
Reranking

Agentic AI & integrations

MCP (Model Context Protocol)
Tool use & function calling
Agent orchestration
Multi-agent systems
Agent memory
Human-in-the-loop

Evaluation & delivery

LLM & agent evaluations
Grounding & hallucination mitigation
Guardrails & prompt-injection defense
Tracing & observability
LLMOps
Latency & cost optimization

Alongside this, I’m developing technical leadership skills as I grow toward a leadership role.

Selected work

Engineering in practice

Explore the problems, architecture, and technical trade-offs behind my projects.

JayPalGPT
In Progress
A local, single-user document Q&A assistant, grounded only in your own uploaded documents.
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Social Media Manager
In Progress
Post photos and videos to YouTube, Instagram, Facebook and Twitter/X in one click — with scheduling.
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Content Creator
In Progress
An AI content engine for high-retention, motivational short-form video.
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Universal OCR
In Progress
Upload almost any real-world document — image or PDF — and extract its text, with adaptive preprocessing and bounding-box-accurate results.
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AI-powered workflow

AI across my development cycle

I use AI tools at every stage, from shaping the idea and writing requirements to design, coding, debugging, review, testing, and deployment. AIDLC guides this end-to-end workflow.

01Idea
02Feature Outline
03Feature Finalization
04PRD & Requirements
05System Design & Architecture
06Database Design
07API Design
08UI/UX Design
09AI-Assisted Development
10Debugging
11Code Review
12Testing
13Docker
14CI/CD
15Deployment
16UAT
17Production

Tools I use throughout the cycle: Kiro · Amazon Q · Claude AI · ChatGPT · Codex — I direct the tools, validate their output, and take responsibility for the final software.

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