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🎓 B.Tech Computer Science & Engineering (Year 3) I am a Computer Science engineering student with a strong interest in building reliable, production-ready systems across software, cloud, machine learning, and embedded domains. I enjoy working close to both system design and implementation, focusing on clarity, scalability, and real-world usability rather than purely academic solutions.
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Cloud Computing Full-Stack Development AI / Machine Learning Systems & Embedded Core Computer Science Amrita Vishwa Vidyapeetham (2023 – Present) AISSCE – 2023 |
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Campus Recruitment Management System • Ongoing Centralized placement management platform enabling real-time tracking of recruitment drives, student eligibility, and application status across campus. Technical Highlights:
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AI-Powered Coding Companion • 2025 Learning-first AI coding companion emphasizing conceptual understanding through contextual hints and directional feedback rather than direct solutions. Technical Highlights:
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Real-Time Sign Language Translator • 2025 Real-time American Sign Language recognition pipeline combining classical image processing with lightweight ML models for accurate gesture detection. Technical Highlights:
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OTP-Based Bluetooth Authentication • 2025 Secure OTP-based smart locking system optimized for low-memory, real-time embedded environments with reliable Bluetooth UART communication. Technical Highlights:
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ML-Based Classification System • 2024 Machine learning classifier for 369 mathematical symbols achieving 90%+ validation accuracy through robust feature engineering and model optimization. Technical Highlights:
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Bidirectional Communication System • 2024 Complete bidirectional Morse code communication system with hardware simulation, featuring both encoding and decoding functionality. Technical Highlights:
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Advanced problem-solving, complexity analysis, and optimization techniques |
SOLID principles, architectural patterns, and scalable system design |
Supervised/unsupervised learning, neural networks, and computer vision |
AWS services, serverless computing, and distributed systems design |
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React, Node.js, RESTful APIs, and modern web architectures |
Microcontroller programming, real-time OS, and IoT solutions |
Relational & NoSQL databases, query optimization, and data modeling |
TCP/IP, protocols, network security, and distributed communication |
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Process management, memory management, and system architecture |
Computer vision, image analysis, and pattern recognition |
Automata theory, complexity classes, and formal languages |
Assembly language, processor design, and hardware-software interface |
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Amazon Web Services | July 2025 Validated knowledge of cloud architecture, IAM, security best practices, networking fundamentals, and cost-optimized cloud design. Proficient in serverless computing, elasticity, scalability, and fully managed AWS services. |
Amazon Web Services | December 2025 Validated understanding of AI/ML fundamentals including learning paradigms, model evaluation, and responsible AI. Demonstrated familiarity with AWS AI/ML services: SageMaker, Bedrock, Rekognition, and Comprehend. |
Amrita Vishwa Vidyapeetham | March 2025 Completed hands-on labs covering EC2, VPC, S3, IAM, and load balancing. Gained foundational understanding of designing secure, fault-tolerant, and scalable cloud solutions. |
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Scalable Architecture Patterns
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Neural Networks & Advanced ML
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Enterprise-Grade Systems
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Available for collaboration and opportunities |
Harini Nagarajan Let's connect professionally |
@harininr Check out my repositories |
