Narra Suryakoushik Reddy
Building Intelligent Systems with AI & Automation
Overview
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About
Hello, World! I am Narra Suryakoushik Reddy (Red) — an aspiring AI Engineer and DevOps enthusiast passionate about intelligent automation and machine learning systems.
Currently pursuing my Master of Computer Application at Lovely Professional University, I specialize in AI agent development, workflow automation with n8n, and deploying production-grade ML solutions on AWS. As a former AI Agent Innovations Intern at Skin Seoul, Singapore, I automated 20+ API integrations, achieving 98% workflow success rates and reducing manual tasks by 40%.
My technical expertise spans Python, TensorFlow, Keras, Docker, Kubernetes, and cloud infrastructure. I've built projects ranging from real-time dance pose analysis APIs to AI-powered resume intelligence systems with 96% accuracy. I'm also an active open-source contributor to projects like Omarchy, adding fuzzy search functionality to enhance Linux menu systems.
Beyond code, I'm passionate about exploring the intersection of AI and DevOps, building autonomous disaster response agents, and creating intelligent systems that solve real-world problems. I work extensively with n8n for enterprise automation, integrating platforms like WooCommerce, Klaviyo, and Google Sheets to streamline operations.
Check out my projects on GitHub (github.com/nskrdev) including DanceMoveInsight, ARISE, and my contributions to open-source Linux tools. I hold certifications from HarvardX (Data Science Capstone), Microsoft (System Administration), and CompTIA (Ethical Hacking).
Let's connect and collaborate on building the future of intelligent automation!
GitHub Contributions
Stack
Blog
Experience
Skin Seoul
- Automated 20+ API integrations and optimized AI agent workflows on n8n, reducing manual tasks by 40%
- Collaborated with cross-functional teams to deliver automated solutions, saving teams 15+ hours per week
- Analyzed and improved agent performance using real data, increasing workflow success rate to 98%
- Built intelligent automation systems for e-commerce operations integrating WooCommerce, Klaviyo, and Google Sheets
- Developed custom TypeScript code nodes for complex workflow logic and data processing
- Implemented multi-currency support (SGD, AED, JPY) and order processing pipelines
- Created automated PIC assignment and notification systems for logistics coordination
- n8n
- TypeScript
- Python
- API Integration
- Workflow Automation
- WooCommerce
- Klaviyo
- Google Sheets API
- REST APIs
- Problem Solving
- Cross-Team Collaboration
National Service Scheme (NSS) - LPU
Active member of LPU's NSS community working for social welfare and community development.
- Community Service
- Leadership
Projects(15)
AI-powered REST API for real-time dance pose detection and analysis using computer vision.
Key Features:
- Processes videos up to 100MB across MP4, AVI, MOV formats
- Detects 7 distinct dance moves through landmark coordinate analysis
- Extracts 33 body landmarks with timestamped pose sequences
- Deployed on AWS ECS with Docker containerization
- Achieved 99%+ pose detection accuracy with MediaPipe
Technical Highlights:
- Frame-by-frame video analysis pipeline for choreography insights
- Geometric angle calculations for move classification
- Health monitoring and JSON response formatting
- Production-grade deployment on cloud infrastructure
- Python
- Flask
- MediaPipe
- OpenCV
- Computer Vision
- Docker
- AWS ECS
- REST API
Intelligent resume evaluation system using NLP and ML to match candidates with job descriptions.
Key Features:
- 96% accuracy in resume-job fit prediction
- Semantic similarity analysis using TF-IDF and spaCy
- LanguageTool API integration for grammar validation
- AI-driven suggestions for ATS optimization
- Actionable feedback generation for resume improvement
Technical Highlights:
- Trained classification model with 96% validation accuracy
- NLP-powered semantic matching algorithms
- Grammar checking and readability scoring
- Flask-based REST API for easy integration
- Python
- NLP
- Scikit-learn
- TF-IDF
- spaCy
- Flask
- Machine Learning
- API Integration
High-accuracy facial verification system using Siamese Neural Networks for identity authentication.
Key Achievements:
- 99.6% verification accuracy on test data
- ROC AUC score of 0.998 demonstrating excellent discrimination
- Trained for 1050 epochs using contrastive loss function
- CUDA-accelerated training for faster convergence
Technical Implementation:
- Siamese architecture for one-shot learning
- Contrastive loss optimization for embedding spaces
- Euclidean distance-based similarity computation
- Precision-recall metrics for robust evaluation
- TensorFlow
- Keras
- Deep Learning
- CUDA
- Python
- Computer Vision
- Neural Networks
AWS-powered AI agent system for autonomous disaster monitoring and response coordination.
- Built for AWS hackathon with tight deadline constraints
- Autonomous incident ingestion from public satellite feeds
- Real-time processing of open-source disaster databases
- Multi-agent orchestration for task planning and coordination
- Intelligent prioritization of emergency response actions
- Scalable backend implementation on AWS infrastructure
- AWS
- Python
- AI Agents
- Hackathon
- Real-time Processing
- Satellite Data
- Agent Orchestration