Hello, I'm
MD TARIK ANVAR
AI/ML Engineer & Full Stack Developer
Central University of Jharkhand
Integrated BTech + MTech in Computer Science & Engineering
Fourth-year CSE student specializing in Artificial Intelligence and Machine Learning. Passionate about building intelligent systems and creating innovative web solutions.
Technical Skills
A comprehensive overview of my technical expertise across various domains, from AI/ML frameworks to full-stack development tools.
Programming
AI/ML
Web Dev
Tools & Platforms
Continuous Learning
I'm constantly expanding my skill set through hands-on projects, online courses, and staying updated with the latest technologies in AI/ML and web development.
Projects
A showcase of my recent work in AI/ML, web development, and IoT. Each project demonstrates my ability to solve real-world problems using modern technologies.
RAG System - LIT-RAG
Advanced Retrieval-Augmented Generation system for document analysis and intelligent Q&A with semantic search capabilities.
CampVerse
Modern web application for event discovery and participation with responsive design and real-time features.
HGR-ParallelCNN-XAI
Hand Gesture Recognition with Explainable AI using ParallelCNN architecture, SHAP, and Grad-CAM visualization.
Medical Image Segmentation
U-Net based medical image segmentation pipeline using PyTorch Lightning for efficient training and deployment.
Professional Experience
Hands-on experience in cutting-edge research and development through internships at prestigious institutions, focusing on AI/ML and computer vision applications.
Research Intern
Conducted research on Explainable Hand Gesture Recognition using advanced deep learning techniques. Developed ParallelCNN architecture integrated with XAI methodologies for enhanced model interpretability.
Key Contributions:
- • Implemented ParallelCNN architecture for improved gesture recognition accuracy
- • Integrated SHAP and Grad-CAM for explainable AI capabilities
- • Achieved significant performance improvements in gesture classification
- • Published research findings and documented methodology
Research Intern
Developed comprehensive medical image segmentation pipeline using state-of-the-art deep learning frameworks. Focused on implementing U-Net architecture with PyTorch Lightning for efficient training and deployment.
Key Contributions:
- • Built end-to-end medical image segmentation pipeline
- • Implemented U-Net architecture with PyTorch Lightning
- • Optimized training procedures for large medical datasets
- • Developed data preprocessing and augmentation strategies
Seeking New Opportunities
I'm actively looking for internship and full-time opportunities in AI/ML, software development, and research roles where I can contribute to innovative projects.
Achievements & Certifications
Recognition of my dedication to continuous learning and excellence in academics, competitions, and professional development.
Key Achievements
Bajaj Finserv HackRx 6.0 Semifinalist
Bajaj Finserv - 2025
Qualified for the semifinals of one of India's premier hackathons, competing among thousands of participants with innovative fintech solutions.
View Project →GATE 2025 Qualified
Government of India - 2025
Successfully qualified the Graduate Aptitude Test in Engineering (GATE) 2025, demonstrating strong technical aptitude in Computer Science.
View Certificate →Certifications
Programming in Java - NPTEL
Elite + Silver (Top 5% among 15,570 candidates) - 75%
Expertise in OOP, exception handling, multithreading, collections, and JDBC
View Certificate →Digital Design with Verilog - NPTEL
IIT Guwahati - 50%
Skilled in FSMs, RTL, and Verilog-based hardware design
View Certificate →Deloitte Australia Data Analytics Job Simulation
Forage - Completed
Practical tasks in data analysis and forensic technology
View Certificate →Educational Background
Strong academic foundation in Computer Science with specialized focus on Machine Learning and Data Science from a prestigious central university.
Integrated BTech + MTech in Computer Science & Engineering
Specialization: Machine Learning & Data Science
Academic Highlights:
- • Specialized in Machine Learning and Data Science
- • Maintained excellent academic performance with 9.06 CGPA
- • Active participation in research projects and internships
- • Focus on AI/ML applications and software development
- • Hands-on experience with modern development frameworks
Relevant Coursework:
Previous Education
Intermediate (Class XII)
Higher Secondary Education
St. Xavier's College of Ranchi
Jharkhand Academic Council
2022 • 87.4%
High School (Class X)
Secondary Education
St. Ignatius High School Gumla
Jharkhand Academic Council
2020 • 89.8%
Academic Philosophy
I believe in combining theoretical knowledge with practical application. My academic journey has been focused on not just understanding concepts, but implementing them in real-world projects and contributing to research that can make a meaningful impact in the field of AI and software development.
Get In Touch
Whether you're a recruiter looking for talent, a fellow developer wanting to collaborate, or someone interested in AI/ML projects, I'd love to hear from you.
Let's start a conversation
Connect with me on social media: