Full-Stack Developer & AI Engineer

Hi, I'm Nadipalli Jaswanth

I build scalable web platforms, deep learning systems, and user-centric products that solve real-world problems.

View Resume Contact Me

Months Experience

15+

Projects Built

15+

Technologies

Certifications

What I Do

Specialized in three core areas that power modern digital products.

Backend Development

Scalable server-side apps with Node.js, Python, Spring Boot, and cloud technologies.

AI / ML Engineering

Deep learning, NLP, transformers, sentiment analysis, and custom GPT with PyTorch & TensorFlow.

Frontend Development

Responsive, interactive UIs with React, Next.js, Tailwind CSS, and modern design systems.

Expertise in:

View All

Java

Python

TypeScript

JavaScript

React

Next.js

Node.js

Express

NestJS

Spring

Tailwind

PyTorch

TensorFlow

Scikit-learn

Pandas

NumPy

Matplotlib

PostgreSQL

MongoDB

MySQL

Redis

AWS

Docker

Git

GitHub

Experience

View Details

Full Stack Developer

NIT Andhra PradeshMay 2025 - Sep 2025

Internship

Designed and developed full-stack applications including a centralized Student Portal and TNP Cell platform serving 2,000+ students.

TypeScriptNext.jsNest.jsPrismaClerk

Backend Developer Intern

Horeka Supply India Pvt LtdJan 2025 - Mar 2025

Internship

Built enterprise-grade Spring Boot modules, reducing DB latency by 30% through query optimization.

Spring BootJavaMySQLREST API

Featured Projects

All Projects

Completed

Skill Share Micro Economy

Built a credit-based learning platform with Clerk + JWT authentication, Razorpay payments, and real-time messaging. Implemented credits economy to promote high-quality content — posting costs credits, while upvotes earn rewards and enable media-rich posts/comments. The platform features a robust moderation system, user profiles. Designed scalable backend APIs and optimized database queries for high concurrency.

TypeScriptNode.jsExpressPrisma+3

Completed

Real-Time Social Media App

Designed a real-time social platform with secure authentication and live messaging using Socket.IO. Developed a responsive frontend with efficient database queries and modular service design for scalability. Includes user profiles, post reactions, comments, likes and included a search option. Integrated cloud storage for media uploads and implemented advanced security best practices.

MERN StackSocket.IOJWTTailwind CSS

Completed

Custom GPT Implementation

Developed a miniature GPT model implementing custom tokenization, self-attention, and transformer blocks. Designed neural architecture with positional embeddings, achieving coherent autoregressive text generation. Includes training pipeline, evaluation metrics, and sample generation scripts. Compared performance with open-source transformer models and visualized attention weights for interpretability.

PyTorchPythonNumPyTransformers

Completed

Advanced Sentiment Analysis Tool

Developed an emotion classifier for 27 emotions using the GoEmotions dataset with separate transformer and LSTM models. Fine-tuned DistilBERT model achieving 88% accuracy and implemented LSTM baseline for comparative analysis. Includes data preprocessing, model evaluation, and confusion matrix visualization. Explored transfer learning and ensemble methods for further accuracy improvements.

DistilBERTTensorFlowPyTorchNLTK+1