Naren Sundar L

AI Engineer

Building intelligent systems at the intersection of AI and software engineering. Passionate about solving complex problems through innovative technology.

About Me

Education

B.Tech in Computer Science and Engineering (Artificial Intelligence)

Amrita Vishwa Vidyapeetham

CGPA: 8.48 | 2024

Final-year Computer Science student specializing in Artificial Intelligence with a passion for building scalable systems and pushing the boundaries of what's possible with AI.

Core Interests

Artificial Intelligence & Machine Learning
Full Stack Development
Systems Architecture
Cloud Infrastructure
Open Source Contributions

What I Build

AI/ML Model Development
Full Stack Web Applications
Real-time Systems
Distributed Computing

Technical Skills

Languages

PythonJavaScript/TypeScriptJavaC++SQL

Frontend

ReactNext.jsTailwind CSSFramer MotionHTML/CSS

Backend

Node.jsExpressFastAPIPostgreSQLMongoDB

AI/ML

TensorFlowPyTorchTransformersLLaMARAG SystemsBERT

Databases

PostgreSQLMongoDBRedisVector Databases

Cloud & Tools

AWSDockerGitCI/CDLinux

Featured Projects

CodeProctor

Full-stack code evaluation platform with real-time feedback

ReactNode.jsPythonDockerPostgreSQL

500+

Users

< 2s

Evaluation Speed

99.2%

Accuracy

Aspect-Based Sentiment Analysis using BERT + LSTM

Advanced NLP model for fine-grained sentiment analysis

PythonPyTorchBERTLSTMTransformers

0.89

F1-Score

91%

Accuracy

50ms

Inference

Statistical Load Forecasting System

Time-series forecasting for electrical load prediction

PythonPandasScikit-learnARIMAProphet

2.3%

RMSE

10K+ daily

Predictions

99.9%

Uptime

Intel IoT Club Website

Full-stack club platform with admin dashboard and event management

Next.jsReactTailwind CSSFirebaseStripe

200+

Active Members

20+ annually

Events

98/100 Lighthouse

Performance

Leukemia RAG Chatbot

Fine-tuned LLaMA with Retrieval-Augmented Generation for medical insights

LLaMARAGVector DBFastAPIPython

94%

Response Quality

< 1s

Latency

97%

Context Accuracy

Experience & Leadership

Web Developer

Intel IoT Club

2024 - 2025

Building and Maintain Club Website and Project Deveopment.

Organized 5+ workshops and hackathons
Built club website and event management system

Research & Publications

Statistical Load Forecasting in Power Systems: A Comparative Study of SARIMA and Prophet Models

Naren Sundar L

CE2CT-2025, Graphic Era Hill University

2025

DOI: 10.1109/ce2ct64011.2025.10941664

A comparative study of SARIMA and Prophet models for statistical load forecasting in power systems, presented at CE2CT-2025 and published under IEEE.

My Resume

Naren Sundar L - Resume

Comprehensive resume detailing skills, experience, and academic achievements

Let's Connect

Interested in collaborating or discussing AI and software engineering? Feel free to reach out!

GitHub