The Genesis Matrix: Neural Pathways Forged
PhD in Computer Science - IIT Guwahati
Research Focus: [Rahul - Placeholder: e.g., Trustworthy AI / Efficient Deep Learning Models / AI in Healthcare ]
Embarking on the doctoral quest to delve deeper into the frontiers of Artificial Intelligence. Preparing to tackle complex research challenges and contribute novel insights to the field.
Current Quest: Initialization Phase
Bachelor of Technology (B.Tech) - Bipin Tripathi Kumaon Institute of Technology
Computer Science and Engineering (2020-2024)
Roll No.: 200180101044. Graduated with a 75% aggregate, equipped with a strong foundation in computer science principles, algorithms, and software development.
Field Deployments: Impact & Innovations
Research Publications
Main Author - IJISAE (SCOPUS INDEXED JOURNAL)
Title: "Architecture in Continual Learning using ResNets." (Live Link )
- Collaborated with Dr. Sachin Gaur.
- Employed ResNets to enhance model adaptability and performance across tasks, achieving improved robustness, reduced catastrophic forgetting, and enhanced learning efficiency.
- Key outcomes: 90.1% accuracy in selected tasks and 75% average accuracy overall.
Entrepreneurial Ventures & Leadership
Founder - INTERNEDU
- Guided 50+ students through intricate coding projects, enhancing their problem-solving and project management skills; resulting in a 40% increase in their project completion rate and coding proficiency.
- Worked alongside BTKIT faculty members to ensure the program complemented existing courses, and provided additional resources and support to enhance the educational experience.
The Algorithm Forge: Experimental Prototypes
Real-time Drowsiness Detection
Developed a drowsiness detection system (2024) using computer vision and deep learning. Implemented a CNN with TensorFlow and Keras, applied transfer learning with MobileNet for feature extraction. (Live Link )
Achieved 96% accuracy on grayscale eye images.
MathSolver: Advancing AI in Mathematical Reasoning
Developed an AI system (2024) to solve complex mathematical problems in LaTeX format using transformer models. Implemented BitsAndBytes and PEFT for efficient inference. (Live Link )
Increased mathematical reasoning accuracy to 96% on 10,000+ expressions, surpassing benchmarks.
Achievements Log: Milestones Unlocked
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C++ Proficiency (HackerRank) - 2022
Awarded Gold Badge and 5 Star rating in C++.
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C Proficiency (HackerRank) - 2022
Awarded Gold Badge and 5 Star rating in C.
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Hackathon Team Leader (COER Roorkee) - 2023
Led team to compete against 50+ teams at a national level.
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GATE 2024: Data Analytics - 2024
Achieved 91 percentile.
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GATE 2024: Computer Science - 2024
Achieved 96 percentile.
Codex Persona: The Algo-Adventurer's Log
"Constantly learning, occasionally debugging, always curious about the next frontier in AI."
Greetings! I'm Rahul Pandey (Roll No.: 200180101044 for B.Tech), a driven Computer Science enthusiast currently pursuing my PhD at the prestigious Indian Institute of Technology Guwahati. My core passion lies in the transformative power of Artificial Intelligence and Machine Learning, and I am eager to contribute to cutting-edge research in this domain.
My journey through my Bachelor of Technology in Computer Science and Engineering (75% aggregate from Bipin Tripathi Kumaon Institute of Technology) has equipped me with a strong foundation in software development, algorithmic problem-solving, and a keen interest in exploring complex AI systems. I thrive on challenges and enjoy turning theoretical concepts into practical, impactful solutions, as demonstrated by my publications and project leadership.
Core Skill Matrix (Interactive):
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AI & Machine Learning
- Deep Learning
- NLP (Transformers, LLMs)
- Computer Vision (OpenCV)
- Continual Learning (ResNets)
- Data Analysis
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Programming & Tools
- Python
- C / C++
- Frameworks (TensorFlow, PyTorch, Keras, Django)
- Developer Tools (Git, Colab, Power BI)
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Soft Skills & Others
- Communication & Collaboration
- Project Management & Leadership
- Problem-Solving & Creativity
- Coursework: Custom Models, Layers, Loss Functions (TF), Distributed Training (TF), Adv. Computer Vision (TF), Generative Deep Learning (TF)
Areas of Interest:
Machine Learning, Big Data, Data Analysis, and advancing the frontiers of AI research, particularly in [Rahul - Placeholder: e.g., building robust and ethical AI systems].
Comms Uplink: Initiate Contact
Eager to discuss research (+91-9897629769), collaboration, or innovative AI projects? My channels are open.