Amitesh Maurya
Full-Stack Developer and MCA student at IGNOU, exploring Computer Vision, Machine Learning, and intelligent software systems through practical projects and technical experimentation.
Featured Projects
A balanced selection of research prototypes, demos and write-ups
Face Recognition Pipeline | Multi-Face Recognition and Detector + Gradio UI
A modular, from-scratch face detection and recognition system with swappable detectors and a Gradio UI.
Project 1 of 3: Face Recognition Pipeline | Multi-Face Recognition and Detector + Gradio UI
Research Highlights
Selected prototypes, demos and write-ups from my computer vision and machine learning work
Face Detection & Recognition Pipeline
A modular Python prototype for detecting and recognising faces in images and live video, built to compare detection approaches and understand each stage of the pipeline
In-Browser Object Detection
Object detection and image matching that run entirely client-side with TensorFlow.js, so uploaded images never leave the device
PCA & Cosine Similarity Walkthrough
A technical write-up on dimensionality reduction with PCA and similarity-based matching, from the maths to a working Python implementation
Research & Writings
Write-ups, research notes and technical documentation from my experiments
Building a Face Recognition Pipeline: Experimental System Architecture
An ongoing write-up documenting the architecture of a modular, experimental face detection and recognition pipeline: multi-detector support (OpenCV Haar Cascade, MTCNN, Dlib, face_recognition), preprocessing, enrollment, and a Gradio-based UI, with observations framed as personal experimental results.
Understanding Adversarial Attacks on ML Models: A Learning Journey
Personal study notes exploring how adversarial examples affect machine learning models, summarizing existing literature and small-scale hands-on experiments as part of an ongoing learning journey.
Research Platform Development: Full-Stack System for ML Experiments
Technical documentation of a full-stack platform for running and presenting personal ML experiments: REST APIs, experiment pages, and demo integration built with Next.js, Node.js, and Python services.
Areas of Expertise
Where my professional work and research exploration currently focus
Computer Vision
Hands-on prototypes for face detection and recognition, and object detection that runs in the browser
Machine Learning
Building foundations through small experiments with classical techniques and pretrained models
Full-Stack Development
Day-to-day professional work building web applications, REST APIs and admin tools with React, Next.js, Node.js and MongoDB
ML in Web Applications
Connecting models to usable software: running inference in the browser and putting Python pipelines behind web APIs and simple UIs
Computer Vision
Hands-on prototypes for face detection and recognition, and object detection that runs in the browser
Core Skills
Related Work
Let's Collaborate
Want to collaborate on a project, talk through a computer vision idea, or discuss full-stack work? I'd love to hear from you.