Hello, I am
Frontend Engineer, React / Next.js / TypeScript. Built ML-integrated mobile apps (FER + LLM chat).
I design and build fast, accessible web experiences with a focus on motion, performance and detail, shipping polished UIs that scale.
I’m Muhammad Asif, a passionate Frontend Engineer and AI enthusiast dedicated to building performant and visually engaging web experiences. I specialize in developing responsive and accessible interfaces using TypeScript, React, and Next.js, combined with rich motion design powered by Framer Motion and GSAP. My background in machine learning includes developing real-time Facial Emotion Recognition and LLM-powered chat systems for mental health support, giving me a unique edge in AI-integrated product development. I’m eager to contribute to innovative frontend or AI-driven applications that make a real impact.
Led a team in developing an AI-powered Android application integrating real-time Facial Emotion Recognition (FER) using TensorFlow Lite and a fine-tuned LLaMA model for mental health support. Oversaw project planning, model optimization, and application deployment.
Graduated under the Sindh Talent Hunt Program (STHP) with a strong foundation in Artificial Intelligence, Machine Learning, and Full-Stack Development. Completed multiple AI-integrated and web-based projects demonstrating innovation and leadership.
What I can help you with
TypeScript, React & Next.js, performant, accessible UIs with component-driven design and Tailwind CSS.
Android (Kotlin) and cross-platform apps (React Native / Flutter) with on-device ML (TensorFlow Lite, ML Kit).
Model training & prototyping with TensorFlow / PyTorch; experiments, preprocessing, evaluation and deployment pipelines.
Face detection, FER, and image pipelines using OpenCV, MobileNetV2 and CNNs, real-time inference & optimization for mobile.
Intent recognition, ANN chatbots, LLM fine-tuning and prompt engineering (Hugging Face, Llama workflows).
AWS / GCP / Firebase for hosting, storage and serverless functions; Vercel for frontend deployments and CDN delivery.
Node.js / Express / NestJS / Flask APIs, RESTful and GraphQL design, secure auth (JWT, OAuth, Firebase Auth).
Design and integration with Firestore, MongoDB, MySQL, PostgreSQL; schema design, indexing and migration tooling.
Quantization, pruning and TFLite conversion for low-latency mobile inference; profiling and latency reduction.
GitHub Actions pipelines, automated tests, linting, build optimization and lightweight monitoring for production readiness.
Python
Java
Kotlin
JavaScript
TypeScript
React.js
Next.js
Redux Toolkit
HTML5
CSS3
Tailwind CSS
Sass
Bootstrap
Framer Motion
GSAP
Node.js
Express.js
NestJS
Flask
REST APIs
GraphQL
Firebase Auth
JWT
OAuth 2.0Android (Kotlin)React Native
Firebase ML Kit
TensorFlow Lite
FlutterFirebase Firestore
MongoDB
MySQL
PostgreSQL
Prisma ORM
MongooseTensorFlow
PyTorch
Scikit-learn
OpenCV
Deep Learning (CNN, ANN, RNN, Transformers)
Computer Vision
Natural Language Processing (NLP)
Large Language Models (LLMs)
Model Optimization (Quantization, TFLite)
Drowsiness Detection
Emotion Recognition
Chatbots (ANN, LLaMA Fine-Tuning)
AWS
Google CloudFirebase Hosting
Vercel
Git
GitHub
Postman
Docker
Jupyter
Figma
Vite
NPM / Yarn
CI/CD (GitHub Actions)Have a project in mind? Let’s talk.
