Mobile Development
Flutter (Dart) · Provider & MVVM · Custom Widgets & Animations
AI, ML & Cloud AI
LLM Integration · Computer Vision (YOLO, OpenCV) · AWS ML (MLA-C01)
Firebase & Backend
Auth & Firestore · Cloud Functions · REST API Design
Languages
Dart (Expert) · Python · C / C++ · SQL
Cloud & Databases
AWS Core Services · Amazon S3 · Firestore · SQLite
Python Development
OOP & File I/O · NumPy · Pandas · Web Scraping
CS Fundamentals
DSA · OS & Networks · Signals & Systems · Git
UI/UX & Marketing
Figma · Canva · Branding · Social Ads
Available · open to roles & freelance
Flutter & AI Engineer — Peshawar, Pakistan
Mohsin Khan
One shard, many facets — mobile engineering, applied AI and cloud systems, folded into products used by real students.
01 — About
Quiet engineering, loud outcomes.
I'm a Computer System Engineering student at UET Peshawar, currently between my 4th and 5th semesters. Most of my time outside coursework goes into NeuroApp, a platform under which I design and ship AI-powered products end to end — interface, state, backend, and the model calls that tie it together.
Right now that means Sabaq Guide, an AI-powered exam-prep platform built for MDCAT and ETEA aspirants across Pakistan — thousands of MCQs, mock exams, leaderboards and an AI study assistant, running on Firebase.
02 — NeuroApp
Building intelligent software for the future.
NeuroApp is a software engineering and AI solutions company dedicated to transforming innovative ideas into intelligent, scalable digital products. We specialize in designing and developing cross-platform mobile applications, AI-powered systems, and machine learning solutions that help businesses automate processes, improve efficiency, and create exceptional user experiences.
Our multidisciplinary team combines expertise in Flutter, Artificial Intelligence, Machine Learning, Computer Vision, Cloud Computing, and modern backend technologies to deliver reliable, secure, and high-performance applications. From concept validation and UI/UX design to full-stack development, deployment, and long-term support, we provide end-to-end technology solutions tailored to our clients' goals.
At NeuroApp, we don't just develop software—we engineer intelligent solutions. Whether it's an educational platform, business management system, AI chatbot, computer vision application, or enterprise automation tool, we leverage cutting-edge technologies to solve real-world challenges and accelerate digital transformation.
Driven by innovation, quality, and continuous improvement, NeuroApp partners with startups, educational institutions, and enterprises to build future-ready products that create lasting impact.
03 — Work
Six products, one build system.
01
Flagship
Sabaq Guide
AI-powered exam-prep platform for MDCAT & ETEA aspirants
Thousands of premium MCQs, full-length mock exams, intelligent quizzes and an AI chatbot for academic support. Firebase powers auth, real-time data, notifications and cloud functions to simulate real exam conditions.
02
Genius
Academy management & e-learning platform
Connects students to their institution with online MCQs, practice tests and real-time updates — secure auth, one-device login, push notifications.
03
Track_it
Attendance & task management system
Role-based attendance and task assignment for teams — admins assign and track work, members update status and get notified in real time.
04
Safe Heaven
Safety & emergency assistance app
Quick access to emergency help — live location sharing with trusted contacts, alert triggers, stored emergency contacts.
05
Tailor Fit
Tailoring & measurement management
Digitises traditional tailoring shops — measurements, order history, pricing and delivery schedules, replacing paper-based records.
06
Crowd Eye
AI crowd monitoring system
Flutter app paired with a Python computer-vision backend — YOLO detection over live video streams for crowd density and real-time alerts.
04 — Certifications
Certifications.
Aug 8, 2026
Supervised Machine Learning: Regression and Classification & Machine Learning
Stanford online:Deeplearning via Coursera
Complete Mathematical and practical concepts of Supervised learning: Regression and Classification, Explained by Dr Andrew Ng. The course is a part of ML specialization, a series of three courses
View credential ↗
Jul 2026
Python for Data Science, AI & Development
IBM, via Coursera
Core Python for data work — syntax, data structures, APIs and Pandas/NumPy basics applied to small AI-flavoured data tasks.
View credential ↗
Jun 2026
AWS S3 Basics — Project Certificate
Coursera
Hands-on with Amazon S3 — buckets, objects, permissions and static hosting through a guided project.
View credential ↗
Apr 2026
AWS Certified Machine Learning Engineer – Associate (MLA-C01)
Official Practice Question Set — AWS Training & Certification
ML engineering on AWS — data prep and feature engineering, model training and tuning, deployment and monitoring with SageMaker.
View credential ↗
Apr 2026
Introduction to Generative AI – Art of the Possible
AWS Training & Certification
Foundations of generative AI — how foundation models work, common use cases, and where they fit responsibly in real products.
View credential ↗
May 2025
Introduction to AWS
LearnKartS, via Coursera
Core AWS concepts — global infrastructure, IAM, compute and storage basics, and the shared responsibility model.
View credential ↗
March 2026
Network Technician Career Path & Networking
Cisco
Core Network conigurations and learning tools like Cisco packet tracer and wireshark.
View credential ↗
April 2026
Introduction to-Generative Ai & Artificial Intelligence
Google Cloud via Simpli Learn
In the course I learnt how to use Google cloud and Ai API Keys provided to developers for free
View credential ↗
Jan 2025
Ai for Everyone & Artificial Intelligence
Deeplearning.Ai via Coursera
The basics and core working of machine learning is explained in this course. I learnt these in the very begining of my career
View credential ↗05 — Contact
Let's build
something quiet
and useful.
// let's build something great together