Raashil Aadhyanth | Portfolio

Hey!

About Me

As an early graduate Front-end Developer with proven expertise in TypeScript, React, and Next.js, I'm committed to building seamless, high-performance web applications that delight users. My journey includes leading the development of interactive, scalable platforms and collaborating across teams to launch products that exceed user expectations.I bring hands-on AI/ML experience, having engineered solutions like an AI-powered interview question generator and a facial recognition system achieving 99% accuracy. My unique blend of front-end development and practical machine learning empowers me to bridge design, usability, and data-driven innovation.I'm passionate about driving projects from ideation to impact solving complex challenges with thoughtful, modern solutions. I am now actively seeking opportunities where I can apply my skills, continue learning, and contribute to forward-thinking teams building the next generation of web and AI technologies.

So if you are interested,Contact me!

Certifications

Projects

MTA Nexus

Interactive NYC Subway Map - A comprehensive subway tracking and visualization system developed as an intern at MTA. Features real-time station data, interactive mapping, and enhanced user experience for NYC commuters.

React
TypeScript
Next.js
Interactive Maps
Real-time Data
MTA API

Cogniscruit

Generating Interview Questions for Candidates Using Large Language Models (LLMs) while considering GitHub, LinkedIn, and Leetcode.

React
TypeScript
Next.js
Tailwind
SCRUM Methodology

ConnectWise

ConnectWise automates personalized cold emails for software companies using web scraping, NLP, LLMs, and vector databases to identify clients, analyze needs, and create tailored outreach messages.

Groq
LangChain
Streamlit
ChromaDB
Pandas
Python

Facial Recognition with Deepface

The facial recognition engine uses Swarup Ghosh pre-trained VGG-Face2 weights and preprocessing pipeline for optimal performance. Additional backends like MediaPipe and RetinaFace are supported. A Jupyter Notebook demo showcases its capabilities, while a Kivy UI and Firebase integration are in progress under the feat/seed branch.