Khandokar
Full Stack Developer
AI Overview
Generated by AIThis Full Stack Developer has two years of experience specializing in JavaScript, React.js, and the Django REST Framework. They hold a B.Sc. in Computer Science and Engineering and have a proven background in technical leadership as a lead instructor for C++ programming.
Overview
$2.33/hr · Full Time (7hr/day)
Education:
B.Sc. in Computer Science and Engineering
CGPA: 3.98
Last Active:
1 month ago
Joined:
July 16, 2026
Profile Description
I am a Full Stack Developer specializing in Python, Django, React.js with a strong algorithmic foundation as an ICPC Regional Finalist. I have hands-on experience architecting full-stack web platforms, designing scalable RESTful APIs, and integrating context-aware AI models into production applications. I thrive on solving complex technical challenges and am passionate about building robust, user-centric software.
Skills
JavaScript
2 years
Django REST Framework
2 years
React.js
2 years
PostgreSQL
2 years
TypeScript
1 years
AI/LLM Integration
1 years
Data Structures & Algorithms
3 years
JWT Authentication
2 years
C++
3 years
System Design
2 years
AI / ML
1 years
Experience
PCIU Computer Club
Joint General Secretary – Competitive Programming Wing
January 2024 – Present
Organized 11 coding contests, authored 52 algorithmic problems, and mentored 50+ students.
C++ Programming Bootcamp
Lead Instructor
January 2024 – December 2024
Taught a 3-month curriculum on C++, data structures, and algorithms to 300+ students.
Codveda Technology
Machine Learning Engineer
June 2026 – Present
Currently serving as a Machine Learning Intern focused on developing predictive models and extracting actionable insights from complex datasets. I apply advanced machine learning techniques to solve practical problems and improve system capabilities using modern data science workflows. Key Responsibilities: Data Engineering: Perform comprehensive data cleaning, preprocessing, and feature engineering on real-world datasets to ensure high-quality inputs for model training. Model Development: Build, train, and evaluate robust machine learning models utilizing Python, Pandas, and Scikit-learn. Algorithm Implementation: Apply both supervised and unsupervised learning techniques—including classification, clustering, and predictive modeling—to diverse analytical tasks. Performance Analysis: Conduct rigorous model evaluation, testing, and performance tuning to enhance accuracy and algorithmic reliability. Applied Research: Continuously explore and integrate new data science tools and methodologies to optimize the machine learning pipeline.
Education
B.Sc. in Computer Science and Engineering
Port City International University
2022 - 2026
CGPA: 3.98
Courses
CSE Fundamentals
Phitron
April 01, 2024
Client Reviews
Basic Information
Age
23
Gender
Male
Location
Chittagong, BangladeshResume
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