Aarab Nishchal
Stay
Goated 🐐
02
About
01 / 04
I build things, break things, and occasionally fix things that weren't broken in the first place. Somewhere between bad ideas and too much curiosity, good software tends to happen.
03
Skills
TypeScript
JavaScript
HTML5
CSS3
Python
MongoDB
PostgreSQL
MySQL
TypeScript
JavaScript
HTML5
CSS3
Python
MongoDB
PostgreSQL
MySQL
TypeScript
JavaScript
HTML5
CSS3
Python
MongoDB
PostgreSQL
MySQL
TypeScript
JavaScript
HTML5
CSS3
Python
MongoDB
PostgreSQL
MySQL
React
Next.js
Express.js
Tailwind CSS
Node.js
Angular
Django
FastAPI
React
Next.js
Express.js
Tailwind CSS
Node.js
Angular
Django
FastAPI
React
Next.js
Express.js
Tailwind CSS
Node.js
Angular
Django
FastAPI
React
Next.js
Express.js
Tailwind CSS
Node.js
Angular
Django
FastAPI
PyTorch
LangChain
Ollama
Groq / VAPI
Gemini
ChromaDB
Vector Embeddings
PyTorch
LangChain
Ollama
Groq / VAPI
Gemini
ChromaDB
Vector Embeddings
PyTorch
LangChain
Ollama
Groq / VAPI
Gemini
ChromaDB
Vector Embeddings
PyTorch
LangChain
Ollama
Groq / VAPI
Gemini
ChromaDB
Vector Embeddings
Git
GitHub
Docker
Postman
Supabase
AWS
Git
GitHub
Docker
Postman
Supabase
AWS
Git
GitHub
Docker
Postman
Supabase
AWS
Git
GitHub
Docker
Postman
Supabase
AWS
04
Experience
Ascend HSI
AI Engineer Intern
Jul 2026 — Present
- Building AI-powered features for internal SaaS products, integrating LLM providers into production workflows.
- Developing AI agents to automate repetitive business processes across case management, CRM intelligence, and media placement systems.
- Supporting integration of AI services into web-based applications, working across prompt engineering, automation, and data pipeline tasks.
- Contributing to internal documentation and research on applied generative AI use cases for the company's SaaS platform.
Next.jsPythonLLMsOpenAIPrompt EngineeringAI AgentsAutomation
Unstop
Software Developer Intern
Sep 2024 — Jul 2026
- Integrated AI-driven n8n automation workflows across internal REST API endpoints and a custom CMS, adding white-label support and dynamic window-title configuration
- Built an AI workflow system to auto-generate and validate vendor assignments, cutting creation and validation time by 60–70%
- Enhanced front-end UI components to surface the new workflow system, streamlining vendor-facing task flows
- Managed CI/CD pipelines via Git and Jenkins to maintain consistent deployments across environments
- Tracked sprint progress and maintained technical documentation in Jira and Confluence
n8nREST APIsGitJenkinsJira
05
Work
KodaArc
A terminal-native AI coding CLI designed for an interactive developer experience, featuring session management, a command palette, and a customizable theme system.
TypeScriptReactBunOpenTUIHonoGeminiVercel AI SDKPrismaNeon
001
TestIQ
A CLI-based RAG pipeline for intelligent code analysis and test generation, using AST-level code chunking, local LLM inference, vector retrieval, and a self-correcting validation loop.
PythonLangChainChromaDBOllamaCodeLlamaTree-sitterRAG
003
06
Contact
let's talk
STEP 01 / 04
Aarab Nishchal