السَّلَامُ عَلَيْكُمْ
Hi there, I amMohammad Hashim.
Skills & Technologies
Programming Languages
Python
Java
C++
JavaScript
TypeScript
Web Development
Next.js
React.js
Node.js
Express.js
Redux
Artificial Intelligence & Machine Learning
TensorFlow
OpenCV
Scikit-Learn
Pandas
PyTorch
Cybersecurity
Kali Linux
Metasploit
Wireshark
Nmap
Cloud & DevOps
AWS
Azure
Docker
Kubernetes
Git
Database Management
MongoDB
PostgreSQL
MySQL
Oracle
SQLite
Mobile App Development
Flutter
Dart
GetX
Firebase
React Native
Operating Systems & Tools
Linux
Ubuntu
Postman
Matlab
Arduino
Non-Technical Skills
Problem Solving
Collaboration
Analytical Skills
Services & Capabilities
AI/ML Engineering
As an AI/ML Engineer and ML Architect, I specialize in designing, developing, training, and deploying machine learning models for automation, predictive analytics, and deep learning applications. I work on NLP, computer vision, and data-driven decision making, building scalable solutions that integrate AI into real-world applications securely, efficiently, and effectively.
Cybersecurity & Penetration Testing
I conduct in-depth security assessments, penetration testing, and vulnerability analysis to safeguard applications, networks, and systems. Using advanced tools and ethical hacking methodologies, I identify security flaws and provide actionable remediation strategies to fortify digital assets against cyber threats and potential attacks.
Web Development
I design and develop modern, responsive, and SEO-optimized websites using cutting-edge frontend and backend technologies. I focus on creating interactive user interfaces, robust backend APIs, seamless integrations, and security best practices to deliver high-performing, scalable, and maintainable web applications tailored to business needs.
Mobile App Development
I develop cross-platform mobile applications with a focus on performance, security, and user experience. Using modern frameworks, I implement smooth interfaces, real-time data handling, offline capabilities, and robust architecture to ensure reliable and scalable apps for both iOS and Android devices.
Database Management
I design, optimize, and maintain database systems to ensure reliability, scalability, and security. Working with both SQL and NoSQL databases, I implement efficient schema designs, optimize queries, enforce data integrity, and establish robust security measures to protect sensitive information and support application performance.
Software Engineering
I specialize in designing and building scalable, maintainable, and secure software systems. Leveraging modern programming languages, cloud platforms, and DevOps practices, I develop end-to-end solutions that meet functional requirements, performance standards, and long-term maintainability for real-world applications.
Recent Works
Full-stack AI-powered platform for rewriting text in human-like, casual, and context-aware styles. Features authentication, prompt processing, custom rewrite rules, and real-time responses using modern web technologies.
A machine learning-powered recommendation platform that analyzes customer behavior, segments users, and delivers personalized product recommendations.
LetMeHeal is an AI-powered medical assistant and research chatbot that provides accurate, context-based answers to medical questions. It leverages verified medical literature and advanced NLP models to offer guidance, suggest treatments, and support medical research. Users can interact with the chatbot for personalized advice, research summaries, and evidence-backed medical insights.
AssamMarketplace is a Laravel-based platform that connects customers with local service providers efficiently. It allows users to book services, manage listings, and track appointments seamlessly. The platform features a robust admin panel, multilingual support, and dashboards for providers to monitor their business. It simplifies local commerce by providing transparency and reliability in service delivery.
LetMeCut is a URL shortener web application built using Next.js, allowing users to generate short, manageable links. It provides analytics for link clicks, easy sharing, and management of multiple URLs. The platform improves efficiency in sharing links across social media, email campaigns, and messaging apps.
Let's Research is an AI-powered research assistant designed to help users find relevant academic papers, articles, and resources quickly. It uses advanced search algorithms and machine learning models to summarize findings, suggest related topics, and organize research efficiently. Researchers, students, and professionals can save time while accessing high-quality information for their projects.
LetMeDebate is an AI-powered debate platform that allows users to engage in structured debates on a wide range of topics. It provides intelligent arguments and counterarguments based on verified sources, helping users improve their critical thinking and public speaking skills. Users can participate in real-time debates, track performance, and analyze strengths and weaknesses in argumentation.
LetMeCare is an AI-powered healthcare assistant designed for brain tumor detection and interactive medical analysis. LetMeCare aims to provide accessible, secure, and user-friendly health awareness support.
N.A.Y.A.B is an AI-powered virtual assistant designed for chit-chat, task assistance, and answering queries across various domains. It uses natural language processing and AI to understand user input and provide accurate, context-aware responses. It can assist with scheduling, information retrieval, and conversational interactions, making it a versatile digital companion.
Mr.Secure is a secure and encrypted password manager developed using React. It allows users to safely store, manage, and retrieve passwords, with advanced encryption to prevent unauthorized access. Features include password generation, secure login, and encrypted storage, making it ideal for personal and professional use to enhance digital security.
Answer Me is a dynamic quiz application built with Next.js. It supports real-time updates of questions and answers, allowing users to participate in live quizzes. It provides analytics on performance, tracks scores, and encourages learning through interactive quizzes in a variety of subjects.
i-Task is a simple yet effective React-based to-do list application. It allows users to create, edit, and manage tasks efficiently, enhancing productivity. Features include task prioritization, deadlines, and intuitive user interface to help users organize daily activities seamlessly.
X-O Game is a fun and interactive Tic Tac Toe game developed using JavaScript. Users can play against the computer with varying levels of difficulty. It provides a responsive interface and instant feedback, making it an enjoyable game for casual play and learning basic programming logic.
Research Papers
Selected publications and research contributions across computing, artificial intelligence, digital storage, and applied machine learning.
Next-Generation Edge-Enhanced Real-Time Server Framework for High-Performance Smart Systems
ICIDeA-KIIT 2026
This research presents a next-generation framework for improving real-time processing performance through advanced computing architectures and intelligent resource management. The proposed approach focuses on scalability, efficient data processing, reduced latency, and reliable system performance across modern computing environments.
DNA Data Storage: A Novel Approach to High Density, Long Term Digital Storage
Electronic Journal of Computer Science and Engineering (ECJSE)
Shared data volume may hit 175 zettabytes by 2025 thus causing problems for storage solutions. Storage methods using conventional techniques encounter challenges such as data loss and short system durability and high expenditure rates. The natural storage molecule DNA provides excellent density alongside premium durableness together with minimal upkeep needs. The technology still deals with two core limitations of high expense and sluggish encoding procedures. DNA storage research focuses on three areas of improvement to achieve practical and scalable storage solutions. The research examines how DNA data storage exists at present as well as the existing obstacles and future course the technology may take.
Overcoming Copyright Protection Difficulties in Cloud Settings
Digital Watermarking in Cloud Environments For Copyright Protection
Since the storage and delivery services are migrating to the cloud which is expected to reach over $678.8 billion by 2027, the cloud-computing industry has emerged with intricate legal issues of enforcing copyright. This chapter examines copyright infringement in cloud systems, focusing on provider liability under the U.S. Copyright Act, recent court rulings, and international regulations. It explores the influence of cloud models such as SaaS, PaaS, and IaaS on the distribution and reproduction of copyrighted materials. It also analyzes weaknesses in existing legal frameworks for cross-border platforms, particularly intermediary liability and DMCA safe harbor provisions. Case studies involving Dropbox, Google Drive, and Mega illustrate enforcement challenges. The chapter concludes by identifying legal gaps and recommending improved policies and technologies, including digital rights management (DRM) and automated content recognition, to strengthen copyright protection in cloud environments.
Deep Learning-Based Waste Image Classification and Web-Based Environmental Awareness for Sustainable Waste Management
Wiley
Rapid urbanization and improper waste segregation have increased the need for effective and sustainable waste-management practices. This study presents EcoSort AI, an integrated deep-learning-based waste classification and sustainability-awareness framework. An EfficientNetB0 model with ImageNet-pretrained weights was trained to perform nine-class waste image classification covering wood, textiles, plastic, paper and cardboard, organic waste, glass, e-waste, carton, and aluminium. The dataset initially contained 8,346 images, with 111 organic-waste images removed during data preparation, resulting in 8,235 images. The dataset was divided into training (5,763 images), validation (1,234 images), and held-out testing (1,238 images) subsets using stratified sampling. The model achieved 92.97% test accuracy, with weighted precision, recall, and F1-score of 92.99%, 92.97%, and 92.95%, respectively. The trained model was integrated into a web-based application that provides waste identification, category-specific sustainability profiles, waste-management recommendations, environmental perspectives, and Sustainable Development Goal (SDG) mapping. The framework demonstrates the potential of combining deep learning and web technologies to promote environmental awareness and sustainable waste management.
Driver Drowsiness Detection Using Facial Landmarks: A Comprehensive Survey on Techniques, Algorithms, and Applications
Journal of Electrical Systems
Driver fatigue and drowsiness are among the leading causes of road accidents worldwide, highlighting the importance of reliable and non-intrusive driver monitoring technologies. This research explores various approaches to detecting driver fatigue through facial landmarks, focusing on recent technological developments, detection techniques, algorithms, and practical applications. The proposed system integrates technologies including Python, SASS, and Golang to develop a platform-neutral and device-independent solution. By continuously monitoring facial indicators and head movements through a background camera, the system identifies potential signs of driver drowsiness and generates alerts to improve road safety. The reported detection accuracy reaches 97.3%, demonstrating the potential of facial landmark-based monitoring for accident prevention.
Professional Experiences
August 2026 - Present
August 2026 - Present
Software Development Engineer Intern
@CodeCatalyst Software Solutions
May 2026 - July 2026
May 2026 - July 2026
AI Backend Engineer Intern
@Remote Work
July 2025 - Present
July 2025 - Present
Software Engineer
@Freelance Contracts & Projects
Get in Touch
mohammadhashim135
mohammadhashim137
mohammadhashim.exe
Stackrs
hashimmohammad1375@gmail.com
mohammadhashim13
mohammadhashim137
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Have a project or research idea?
I’m open to new opportunities and collaborations. Send me a note and let’s talk about what we can build together.
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