Naren Sengodan

$ whoami → Full Stack Software & AI Developer

Co-Founder & Full Stack Engineer building AI-driven solutions with Next.js, FastAPI, and LangChain. Passionate about creating scalable applications that improve user experiences and deliver real-world impact. Currently scaling BePro to 1,000+ users with 30% improved task efficiency.

Connect.execute() ViewProjects()

naren@developer:~

const buildAI = "LangChain + FastAPI";
let users = 1000;
// Scaling to infinity

import { success } from './naren';
deployML(accuracy: 99.01%);
// Research published ✓

class Developer {
  skills = ['AI', 'FullStack'];
  passion = 'Innovation';
}

Experience.log

Co-Founder & Full Stack Software Engineer

BePro - Growth Skill OS

April 2025 – Present

Developed and deployed full-stack applications using Next.js, creating 3+ prototypes that improved user engagement by 15% and reduced load times by 20%.

Backend Developer Intern

Nexathreads

June 2025 – Present

Full Stack Software & AI Developer Intern

Hawky India

Mar 2025 – Present

Co-founded and led BePro, building AI-driven solutions using Next.js, FastAPI, and LangChain, scaling to 1,000+ users with 30% improved task efficiency.

AI Engineer Intern

ProGrowth Marketing Services

Aug 2024 – Mar 2025

Built APIs, RAG systems, and backend infrastructure using FastAPI, LangChain, Pinecone, and AWS API Gateway, delivering personalized sales education to 500+ users with 25% improved outcomes.

Research Intern

VCET Institute of Arts and Science

May 2024 – Jul 2024

Implemented 5-layer autoencoder with skip connections; improved reconstruction quality by 3–4% over PCA. Reduced memory usage by 40% for large-scale point cloud data.

Projects.showcase

sunday-ai.py

Sunday AI

June 2025

Developed Sunday AI, an open-source autonomous agent using LangChain, Next.js, Monaco IDE, and Beautiful Soup, automating coding, flight booking, and scheduling with 95% automation accuracy.

LangChain Next.js Monaco IDE

friendly-dev.ai

Your Friendly Neighborhood Developer

Mar 2025

AI copilot using GROQ for contextual development assistance. Equipped with MCP, you get the latest code information and access codebases, making it more innovative and 75% cheaper.

GROQ MCP AI Copilot

Skills.matrix

Python

JavaScript

Next.js

React.js

FastAPI

LangChain

TensorFlow

PyTorch

AWS

Pinecone

C++

Rust

OpenCV

Kubernetes

ROS-2

Publications.research

CBAM-EfficientNetV2 for Histopathology Image Classification

Boosted histopathology classification with EfficientNetV2-XL and CBAM on BreakHis, hitting 99.01% accuracy and 98.31% F1-score for real-time diagnostics.

LARMS: Enabling LLMs for Mental Status Remedy

December 2024

Engineered LARMS framework for LLMs, lifting readability 23.6%, emotional alignment 15.6%, and semantic similarity 18.3% for mental health support.