Engineering smart systems at the intersection of embedded hardware, machine learning pipelines, and modern software.
Undergraduate in Electronics & Communication Engineering at KUET, Bangladesh. Proficient in Python, C, and full-stack development, solving real-world computational problems and actively preparing for European graduate research fellowships (DAAD, Erasmus Mundus).
Bridging theoretical electronics and signal dynamics with high-performance software and artificial intelligence.
I am an undergraduate student in Electronics & Communication Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh. My academic focus unites physical electronic systems, signal processing, and computational intelligence.
I have an engineering mindset geared toward building real solutions—from developing clinical machine learning prediction pipelines to creating university-wide digital libraries and programming microcontrollers. I actively solve algorithmic problems in C and Python, and am driven by the ambition to pursue advanced graduate research in Europe (DAAD, Erasmus Mundus).
Beyond circuit diagrams and terminal windows, I maintain an active engagement with open source codebases, system design patterns, and engineering CAD tools like SolidWorks.
Interfacing microcontrollers (Arduino), sensory modules, and analog circuitry with software pipelines for smart automation and telemetry.
Developing predictive models, automated preprocessing pipelines, and exploratory data analysis using Scikit-Learn, Pandas, NumPy, and TensorFlow.
Architecting responsive frontend interfaces and high-concurrency asynchronous RESTful services using Next.js, TypeScript, and FastAPI.
Designing 3D mechanical components in SolidWorks and simulating electronic circuits in NI Multisim and Proteus.
Real-world systems spanning clinical ML diagnostics, university-scale digital libraries, asynchronous microservices, and microcontroller prototypes.
Comprehensive browser-based engineering laboratory for ECE students to design, simulate, and visualize circuits, signals, digital logic, and control systems.
Automated deep learning waste classification system categorizing items into Organic vs. Recyclable streams with 92.04% test accuracy and high-throughput REST API.
Centralized digital library and academic portal for all 8 undergraduate semesters of ECE at KUET.
End-to-end machine learning classification pipeline evaluating cardiovascular risk metrics with interactive screening interface.
Rigorous algorithmic problem sets and solutions for Harvard University's premier computer science curriculum.
Production-ready asynchronous web service blueprint featuring Pydantic schema validation and automated OpenAPI docs.
High-throughput multitenant room reservation & automated refund microservice hardened against race conditions and deadlocks for BUP CSE Fest 2026.
Documented mathematical intuitions, regression/classification experiments, and exploratory model tuning notebooks.
Data storytelling and visual analytics scripts implementing custom Matplotlib plotting architectures and statistical heatmaps.
Optimized algorithmic solutions in Python covering arrays, two pointers, binary trees, dynamic programming, and hash maps.
Comprehensive structured programming coursework in C for engineering students at KUET with laboratory simulations.
Microcontroller hardware prototyping and sensor integration sketches covering ultrasonic telemetry and circuit simulation.
Precision 3D CAD modeling, multi-component mechanical assemblies, and schematic simulation for engineering projects.
Explore all open-source repositories, algorithm problem sets, and codebases directly on GitHub.
Structured competencies categorized across physical electronics, mathematical machine learning, and production software development.
Formal engineering degree progression at KUET alongside verified technical credentials from Stanford Online, DeepLearning.AI, Harvard, IBM, and the University of Michigan.
Comprehensive engineering curriculum balancing theoretical mathematical foundations with hands-on laboratory experimentation in analog electronics, microprocessors, and signals.
Actively preparing for European graduate research fellowships (DAAD Germany, Erasmus Mundus joint master degrees) in Signal Processing, Embedded Systems, and Applied AI.
Click to PreviewFoundational 3-course specialization taught by Andrew Ng covering supervised learning, neural networks, decision trees, unsupervised clustering, anomaly detection, recommender systems, and reinforcement learning.
Click to PreviewComprehensive certification covering Python syntax, data structures, REST APIs, web scraping, and AI development fundamentals.
Click to PreviewIn-depth exploration of Matplotlib design philosophy, information aesthetics, statistical graphics, and exploratory charting techniques.
Click to PreviewData cleaning, tabular manipulation with Pandas DataFrames, multi-dimensional array vectorization with NumPy, and statistical exploration.
Click to PreviewHarvard's premier computer science program. Thorough mastery of C pointers, memory allocation, asymptotic runtime, sorting, Python, SQL, and full-stack web architectures.
Active learning frontiers combining high-throughput full-stack architectures with deep neural estimators and deterministic hardware firmware.
Investigating deep convolutional architectures (CNNs) and transformer models for medical imaging diagnostics and sensory feature extraction.
Designing high-performance full-stack architectures combining reactive React frontends with asynchronous Python API backends.
Transform methods (Fourier, Z-Transform), digital filter synthesis, and noise attenuation in analog-digital communication links.
Exploring deterministic firmware scheduling, concurrent task handling, and hardware interrupts on 32-bit ARM microcontrollers.
Have a project, research inquiry, or open-source idea? Feel free to reach out directly.
I am actively seeking research collaborations in Signal Processing, Analog Electronics, and Machine Learning, as well as software development discussions and open-source contributions.
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