Hey, I'm

Advait
Alinkil

Full Stack AI Developer

Building scalable, web-based AI systems using Python, Node.js, and cloud services. Experienced in secure backend architectures, AI pipelines, and production-ready deployments on AWS.

Where I've Worked

Taxplan Advisors
Full-Stack Developer
Nov 2025 — Feb 2026
  • Designed an AI-powered tax advisory chatbot by ingesting the Indian Income Tax Act using the Gemini Files API, with intelligent routing between file-based search, web search, and direct inference.
  • Developed a GST compliance and reconciliation system to fetch GSTR-2B records via sandbox APIs and automate reconciliation against purchase registers on monthly, quarterly, and yearly cycles.
  • Built an AI-enabled onboarding platform integrating AWS Rekognition, Amazon Transcribe, and async processing with Celery & Redis for video response analysis via the Gemini API.
Python Django Gemini API AWS Rekognition Celery Redis React
Freelance — Community Portal
Full-Stack Developer  ·  Live Site
Vasai, India
  • Developed and deployed a full-stack community management portal using React.js, Node.js, Express, and PostgreSQL (Supabase), hosted on AWS Lightsail with Nginx.
  • Implemented a JWT-based role-controlled admin dashboard enabling CRUD operations, media uploads via Supabase Storage, and content publishing.
  • Improved discoverability via Google Search Console and delivered a responsive, multilingual UI using Tailwind CSS and react-i18next.
React.js Node.js Express PostgreSQL Supabase AWS Lightsail Nginx

Things I've Built

RAG Visualizer

Built and deployed a full-stack RAG Visualizer enabling users to upload documents and explore a step-by-step Retrieval-Augmented Generation pipeline. Supports multiple chunking strategies (fixed-size, overlapping, recursive) with LangChain text splitters, Pinecone vector embeddings, and Gemini 2.5 Flash for context-grounded Q&A. Deployed on AWS App Runner with in-memory file processing.

React Express LangChain Pinecone Gemini AWS App Runner

MCP Data Assistant

A natural language database assistant enabling conversational data access without direct SQL queries. Features a secure intent-parsing backend using Google Gemini AI, ensuring query safety and data integrity.

Google Gemini Node.js SQL React

Tech Stack

Languages

Python JavaScript TypeScript C SQL

Backend & Frameworks

Node.js Express.js Django Celery React Tailwind Streamlit

Databases

PostgreSQL MongoDB MySQL Redis Supabase Pinecone VectorDB

Cloud & DevOps

AWS EC2 AWS Lightsail AWS S3 AWS S3 AWS App Runner Vercel Render

Tools

Git GitHub VS Code Postman Insomnia

Academic Background

Bachelor of Engineering — Computer Engineering

VidyaVardhini's College of Engineering and Technology
2021 — 2025 CGPI: 8.3 / 10

Full Stack Development

Coding Ninjas
Certification Course

Let's Connect