01 / SILICON
From RTL to a working processor.
A pipelined RISC processor in SystemVerilog, with functional verification, synthesis, static timing analysis, and place-and-route using Cadence Genus and Innovus.
ENGINEERING / RESEARCH / AUTOMATION
Dhaka, BangladeshSemiconductor & AI Automation Engineer
I’m an electrical and electronic engineering graduate from AIUB and an MSc student at BRAC University. I enjoy building things, from chip designs and embedded systems to tools that make everyday work easier.
01 / Selected work
Hardware, code, and the details in between. Explore the prototypes, inspect the layouts, and follow the work into the source.
01 / SILICON
A pipelined RISC processor in SystemVerilog, with functional verification, synthesis, static timing analysis, and place-and-route using Cadence Genus and Innovus.
02 / VLSI
A transistor-level digital IC layout in Cadence Virtuoso, with device placement, power rails, and signal routing. Transient simulations show the output response as inputs A, B, C, and D switch.
The design workflow includes design rule checking and layout-versus-schematic verification.
03 / BIOMEDICAL SYSTEMS
A calibrated cuffless monitoring prototype built around an ESP8266, a MAX32664 sensor hub, and optical pulse sensing. Its integrated display shows blood pressure trends, heart rate, SpO2, and temperature.
The rechargeable device combines a 1.8-inch display with a MAX30205 temperature sensor. The project covers sensor integration, firmware, hardware assembly, and comparison with reference measurements.
04 / BIOMEDICAL SIGNAL PROCESSING
A separate cuffless blood pressure estimation prototype using ECG and PPG signals from a MAX86150 sensor, with an ESP8266 and Raspberry Pi Zero 2 W handling acquisition and processing.
The signal pipeline filters ECG, detects R-peaks and PPG waveform features, and uses their timing for blood pressure estimation. A 3.5-inch touchscreen displays the signals and estimated readings.
Developed alongside BPT as part of the AIUB Best Capstone Project Award-winning work, published at IEEE BECITHCON 2025 and showcased at Broadband Expo 2026 and a Magna Charta Observatory symposium.
05 / EMBEDDED SYSTEMS
A Raspberry Pi smart grocery trolley prototype that follows a shopper carrying a designated QR marker. OpenCV camera processing guides the motors, while an ultrasonic sensor stops movement when an obstacle is within 20 cm.
Integrated HX711 load-cell measurements with weight-encoded QR codes on a TFT display and a Flask interface for live video, manual control, and scan logging. Weight measurement and QR-guided following were demonstrated; weight-verification scans used a phone after a camera module failed.
06 / AUDIO & MACHINE LEARNING
A CSE715 research project in PyTorch exploring music tagging and audio-text retrieval on MusicCaps. Modeled one-second audio segments with GraphSAGE, encoded captions with DistilBERT, and compared frozen multimodal fusion with text-only and audio-only baselines.
Across 3,964 usable audio clips, frozen fusion did not improve Macro-F1 over the text-only model. Contrastive training raised text-to-graph Recall@10 from 0.83% to 17.77% on 606 held-out pairs; a pretrained CLAP model reached 45.38%.
Curious about the process? Let's talk details
02 / About me
I'm an Electrical and Electronic Engineering graduate from AIUB, currently pursuing a Master of Science in Electrical and Electronic Engineering at BRAC University. My work spans RTL/VLSI design, real-time data acquisition, embedded systems, biomedical signal processing, and AI automation.
My capstone project — a cuffless blood‑pressure monitoring system built on ECG and PPG signal fusion — won AIUB's Best Capstone Project Award and was showcased at Broadband Expo 2026 and an international Magna Charta Observatory symposium.

01 · SILICON
RTL coding, functional verification, synthesis, STA, and physical design (PnR) with Cadence Virtuoso and Xcelium, Genus, and Innovus.
02 · SYSTEMS
Raspberry Pi, STM32, FPGA, real‑time computer vision, and robotics built on constrained hardware.
03 · SIGNAL
Biomedical signal fusion, predictive modeling, data analysis, and AI workflow automation with Python, MATLAB, REST APIs, and LLM APIs.
03 / Toolkit
From the first line of code to the last design check. The tools I use to bring ideas into the real world.
Write the logic.
Languages for software, hardware, and everything between.
Design the silicon.
From simulation and verification to physical implementation.
Connect the physical.
Embedded platforms that turn signals into useful systems.
Automate the everyday.
Workflows, APIs, and intelligent integrations that work together.
Find the patterns.
Models and platforms for learning from real-world data.
04 / Experience
Building intelligent workflows.
Grounded in hands-on systems engineering.
05 / Research
06 / Recognition
Award-winning engineering, academic milestones, and a commitment to keep learning.
FACULTY OF ENGINEERING · AIUB
Recognized for a cuffless blood pressure monitoring system combining ECG and PPG signal fusion.
Explore the awarded projectROBOLUTION 2025
Faculty of Engineering, AIUB
Fall 2022 · Spring 2022–23 · Summer 2024–25
Faculty of Engineering, AIUB
Spring 2022–23 to Spring 2024–25
Digital VLSI Design · AIUB Institute of Continuing Education
Coursera & L&T EduTech
OCTOBER 2025IIT, Jahangirnagar University · EDGE Project, Bangladesh Computer Council, ICT Division
NOV 2024–JAN 202507 / Education
08 / Let's connect
Have an interesting problem to solve? I'm open to opportunities in semiconductor design, AI automation, AI/ML, and embedded software.
Say hello