Arpit Moga
IIT Delhi 2026
B.Tech Electrical Engineering student passionate about AI, LLMs, and intelligent systems. Combining electrical engineering fundamentals with cutting-edge machine learning research.
About Me
I am a B.Tech Electrical Engineering student at IIT Delhi with a strong passion for artificial intelligence, Large Language Models, and building robust technical solutions. My background combines electrical engineering fundamentals with cutting-edge AI research, particularly in cybersecurity applications and intelligent systems.
With hands-on experience in C++, Python, and a variety of security tools, I focus on the intersection of electrical engineering and AI. From implementing PageRank algorithms for large-scale data processing to creating advanced document Q&A systems with LLM integration, I am driven by the potential of AI to solve complex engineering problems.
I am actively seeking opportunities to apply my skills in AI, cybersecurity, and electrical engineering to impactful projects and contribute to forward-thinking teams that are shaping the future of intelligent systems.
Experience
Cyber Security Analyst Intern
TESTING COMPANYS | May 2024 - Present
- Analyzed daily security operations and protocols to gain a comprehensive understanding of cybersecurity best practices.
- Gained hands-on experience with security tools for vulnerability assessments and penetration testing.
- Reviewed security reassessment reports and evaluated the effectiveness of proposed recommendations.
- Completed intensive training modules on cybersecurity fundamentals and advanced threat landscapes.
- Authored detailed reports and presentations to summarize findings and provide actionable recommendations.
- Collaborated on team-based projects, enhancing technical and corporate communication skills.
Featured Projects
Advanced Document Q&A Tool
Built an intelligent Q&A system using advanced NLP techniques including tokenization, lemmatization, and TF-IDF. Integrated open-source LLM to achieve over 90% accuracy on test datasets. Demonstrates expertise in language models and natural language understanding.
GenAI Poem Generator
Neural text generation tool using custom-trained BiLSTM model to generate poems based on themes, styles, and tones. Encodes context using forward and backward temporal dependencies to capture poetic structure and flow.
PageRank Algorithm
Implemented PageRank algorithm using stochastic matrices in C++, scaling to over 100,000 pages with sparse matrices for 30% faster convergence.
Document Processing Engine
Built efficient pattern searching and word processing tools using Trie and hash algorithms, processing 1M+ words in under 2 seconds.
Safety Vault FSM
Developed a Finite State Machine in Verilog for secure access control, reducing error rates by 40% in attack simulations.
Recognition & Achievements
- International Quant Championship 2024 (WorldQuant): Achieved global rank 161 out of 34,145 participants (Institute Rank: 5/498), demonstrating exceptional quantitative analysis and algorithmic thinking skills.
- Second Runner-up, Tryst 2024: Awarded for innovation in circuit design and implementation of a custom Bluetooth speaker system using ESP-32 microcontroller.
- Technical Workshop Leader: Organized and led workshops on advanced algorithms and machine learning fundamentals for student communities.
Technical Expertise
Languages
Python - Expert
C++ - Advanced
Matlab - Intermediate
Verilog - Intermediate
AI/ML & Libraries
Natural Language Processing
Large Language Models
NLTK
C++ STL
Eigen
Tools & Security
MySQL - Intermediate
Burp Suite - Beginner
LTspice - Beginner
Git & GitHub
Electrical & Systems
Circuit Design
Finite State Machines
Algorithm Design
Data Structures