FULL STACKDEVELOPER
Passionate about creating intuitive and engaging user experiences. Specialize in transforming ideas into beautifully crafted products.
"Stay hungry, stay foolish."
+4
Projects Completed
+7
Certificates Earned
+3
Awards Won
TECH STACK
HIGHLIGHT
Languages
C
Systems Programming
C++
Performance & OOP
Python
AI/ML & Backend
JavaScript
Web Interactivity
TypeScript
Type-safe JS
Frontend
React
UI Components
Next.js
Full-stack React
Tailwind CSS
Utility-first CSS
HTMX
Server-driven UI
Alpine.js
Lightweight Reactivity
Backend
Flask
Python Micro-framework
Django
Python Web Framework
Databases
MySQL
Relational DB
SQLite
Embedded DB
AI / ML
Scikit-Learn
Classical ML
TensorFlow
Deep Learning
Tools & Platforms
VS Code
Code Editor
PyCharm
Python IDE
GitHub
Version Control
Jira
Project Management
n8n
Workflow Automation
Cursor
AI Code Editor
Docker
Containerization
RECENT
PROJECTS
HireMe
A comprehensive SaaS recruitment platform that combines video interviewing with online examination capabilities, streamlining remote hiring workflows while supporting scalable management of candidates, employers, and interviewers.
SIdeChat
A browser extension for Claude & ChatGPT that enables contextual floating side conversations using your existing session—no API key required.
PotholeGrade-BD
A localized computer vision system that detects potholes via polygonal segmentation and calculates depth using photometric shadow analysis.
ACADEMIC
BACKGROUND
B.Sc. in Computer Science and Engineering
United International University (UIU)
Four years at UIU have been a journey of growth, pressure, and purpose. Between long nights, deadlines, and the constant push to learn something new, I've been fortunate to have mentors who guided me and an environment that challenged me to become better. As I approach the end of this chapter, I'm deeply grateful to God for strength through it all, to my parents for their unconditional support, and to my teachers for their patience and guidance along the way.
CS
MAJOR
Machine Learning
Train, evaluate, and deploy predictive models for real-world products.
Digital Image Processing
Build vision pipelines — detection, segmentation, and feature extraction.
Data Mining
Extract actionable patterns from large-scale data to drive decisions.
RECORD &
AWARDS
SWE Lab 1st Runner-Up
Excellence in software engineering and innovative problem-solving at the CSE Project Show, United International University.
FYDP-1 2nd Runner-Up
Outstanding achievement in the Final Year Design Project competition for innovative engineering.
Related research
Hackathon Participant
Participated in a 12 hours hackathon competition for innovative solution development.
RESEARCH
AREAS
Machine Learning
Predictive modeling and pattern recognition powering healthcare diagnostics, fintech fraud detection, and recommendation engines.
Computer Vision
Image classification, object detection, and segmentation driving autonomous systems, quality inspection, and medical imaging.
AI Security
Adversarial robustness, model integrity, and threat detection safeguarding enterprise AI deployments against emerging attacks.
Agentic AI
Autonomous multi-agent systems with tool use and reasoning, enabling workflow automation and intelligent decision-making at scale.
RAG Systems
Retrieval-augmented generation pipelines grounding LLM outputs in domain-specific knowledge for accurate enterprise search and Q&A.
Wireless Sensor Networks
Energy-efficient routing and data aggregation protocols for IoT, smart agriculture, and industrial monitoring infrastructure.
VERIFIED
LEARNING
SWE Lab 1st Runner-Up
FYDP-1 2nd Runner-Up
Art Of Communication
Corporate Presentation Skills
Sharpen your Communication Skills
