AI-native product engineering

Krishiv AroraEngineering Student diving into AI | Keen Learner

portfolio.kernel
const engineer = 'Krishiv Arora';
const focus = ['AI Agents', 'RAG', 'Backend Systems'];
const shipping = 'Synora | Career Pilot AI | RideMates';
const status = 'open to high-impact engineering work';

About

A builder at the intersection of AI systems and polished products.

Computer Science engineering student at JIIT building AI-native products across RAG, autonomous agents, backend systems, and polished full-stack experiences.

Engineering Profile

I build end-to-end applications where AI is not a bolt-on feature: it is part of the product architecture. My work spans RAG-powered agents, voice support systems, resume intelligence, realtime collaboration, and scalable backend foundations.

AI AgentsGenerative AIRAG SystemsBackend ArchitectureRealtime AppsProduct Engineering

500+

LeetCode Problems

Data structures and algorithms

3 Star

CodeChef Rating

Competitive programming

3

Featured Products

AI and full-stack systems

JIIT

Education

B.Tech CSE, 2024-2028

TypeScriptJavaScriptPythonC++Next.jsReactFastAPINode.jsExpressTailwind CSSLangChainLangGraphPostgreSQLMongoDBDocker

Experience

Professional software engineering experience.

Internships and industry roles focused on production-grade systems and engineering best practices.

Summer Trainee – Software Engineering

GlobalLogic (Hitachi Group)

Jun 2026 – PresentIndia
  • Receiving mentorship from senior software engineers on production-grade development, system design, and agile practices.
  • Designing and developing Compass, a full-stack AI coding assistant as the capstone project, applying software engineering best practices.

Tech Stack

Interactive skill pathways, not a static logo wall.

Click a skill and the connected stack lights up: frontend, backend, GenAI, and systems tooling.

Languages

Frameworks

AI Stack

Data & Tools

Tap any node to generate its path

Skill Pathways

Frontend

Backend

AI / GenAI

Systems / Tools

Frontend path

HTML

I use this path to build responsive, high-polish interfaces with strong interaction design and production ergonomics.

Projects

Featured AI and full-stack systems with real product depth.

Public pinned GitHub projects stay in profile order, with sync ready when you pin something new.

Featured

Compass

Full-stack AI coding assistant enabling developers to debug and refactor code via natural language.

Designed agentic task orchestration using LangGraph with tool-calling nodes. Integrated MCP adapters and a codebase-aware retrieval pipeline.

PythonFastAPIReactTypeScriptLangGraphPostgreSQLChromaDB
Featured

Synora

Autonomous B2B omnichannel AI platform for RAG-powered text and voice customer support agents.

Built multi-format ingestion, pgvector similarity search, team management, analytics, and webhook-driven summaries.

Next.jsPostgreSQLGemini 2.5 FlashLangChainVapiDocker
Featured

Career Pilot AI

Multi-agent career assistant that analyzes resumes, scores candidate profiles, and recommends targeted jobs.

Engineered RAG-based semantic matching, resume rewriting workflows, ranking logic, and modular agent orchestration.

FastAPIReactLangGraphLLMsDocker

RideMates

Public repository from Krishiv's GitHub profile.

JavaScript
JavaScript00

SummarizeYou

Public repository from Krishiv's GitHub profile.

Python
Python00

agentic-RagChatbot

Public repository from Krishiv's GitHub profile.

Python
Python00

virtualAssistant

Public repository from Krishiv's GitHub profile.

JavaScript
JavaScript10

LeetCode

Algorithmic practice, visualized like an engineering dashboard.

Live profile data is fetched server-side and rendered with counters, difficulty breakdown, and activity heatmap.

@krishivarora25

Total solved

...

Easy200
Medium250
Hard50

CodeChef

3 Star

Contest Rating

1650

Submission Heatmap

Last 365 days of activity intensity.

Profile

Resume

A concise record of AI, backend, and full-stack execution.

Education, responsibility, and project work are summarized here, with the full PDF available instantly.

Krishiv Arora Resume

Includes AI platform work, multi-agent career systems, full-stack realtime apps, technical volunteering, programming achievements, and core engineering skills.

Education

2024-2028

B.Tech in Computer Science Engineering, Jaypee Institute of Information Technology, Noida.

Technical Volunteer

2025-Present

AI/ML Hub, JIIT. Assisted workshops, mentored juniors, and helped organize coding sessions.

Core Strengths

AI + Full Stack

AI agents, RAG systems, backend architecture, realtime applications, and modern frontend systems.

Contact

Let’s build something useful, elegant, and technically serious.

Reach out for AI engineering, full-stack product work, collaboration, or internship opportunities.

Contact Details

I’m reachable by email and active across GitHub, LinkedIn, LeetCode, and CodeChef.

krishivarora150@gmail.com