JAMES NITHIL V

Software & AI Developer

Software Developer with 6+ months internship experience in Java backend development, machine learning, and data analytics. Proven expertise in REST APIs and scalable applications with 20% performance optimization. Led teams to national hackathon success. Immediately available for Software Development Engineer & Backend Developer roles.

Get In Touch View Projects
Java
Python
Spring Boot
Machine Learning
REST APIs
MySQL
TensorFlow
React.js

About

Navigating the vast universe of code, I specialize in building robust backend systems and intelligent AI solutions. With experience spanning Java development, machine learning, and data analytics, I transform complex problems into elegant, scalable solutions.


Currently orbiting in the realm of software engineering, ready to dock with innovative teams and launch groundbreaking projects into production.

Academic Journey

B.Tech in Artificial Intelligence and Data Science

Knowledge Institute of Technology, Salem
2021 – 2025
CGPA: 7.9/10

Higher Secondary Certificate (+2)

St. Mary's Matric Higher Secondary School
2020 – 2021
Percentage: 84%

Secondary School Leaving Certificate (SSLC)

St. Mary's Matric Higher Secondary School
2018 – 2019
Percentage: 74%

Skills

JavaScript
Python
React
Node.js
CSS
HTML
SQL
MongoDB
Express
Angular
Vue.js
TypeScript
Docker
Kubernetes
AWS
Azure
GraphQL
Redis
Webpack
Sass
Java
C++
Ruby
PHP
Swift
Kotlin
css
Django
Flask
JavaScript
Python
React
Node.js
CSS
HTML
SQL
MongoDB
Express
Angular
Vue.js
TypeScript
Docker
Kubernetes
AWS
Azure
mangodb
Rect
jdbc
jsp
Java
C++
c
Serverlet
SQL
RestAPI
python
c++
Django
Flask
RestAPI
python

Programming Languages

  • Java (Advanced)
  • Python
  • C++
  • SQL
  • JavaScript

Frontend Technologies

  • HTML5
  • CSS3
  • React.js
  • Three.js
  • DOM Manipulation

Frameworks & Tools

  • Spring Boot
  • Hibernate
  • JDBC
  • Flask
  • REST APIs

AI/ML & Generative AI

  • scikit-learn
  • Pandas
  • NumPy
  • TensorFlow
  • Keras

Databases & Tools

  • MySQL
  • Git
  • Maven
  • Power BI
  • Agile Methodologies

Experience

Data Analytics & Visualization Intern

Accenture
Nov 2023 – May 2024
  • Analyzed 10,000+ records using Pandas and NumPy, extracting key business insights and performance trends
  • Optimized data processing pipelines by 20%, reducing report generation time from 4 hours to 3.2 hours
  • Designed interactive dashboards in Power BI and created data visualizations using Matplotlib
  • Presented analytical findings to senior stakeholders and automated reporting processes for 5+ departments
  • Collaborated with cross-functional teams using Agile methodologies to deliver data-driven solutions

Data Science Intern

Spreadtech Solutions
Nov 2023 – Dec 2023
  • Developed spam detection system using machine learning algorithms, achieving 92% accuracy on email classification
  • Built house price prediction model using regression techniques and feature engineering on real estate datasets
  • Implemented data preprocessing pipelines and performed exploratory data analysis on large datasets
  • Deployed ML models using Flask framework with REST API endpoints for real-time predictions
  • Collaborated with senior data scientists to optimize model performance and reduce prediction errors by 15%

Project Constellations

Scalable Cab Booking System

Java, MySQL
  • Architected and developed a multi-threaded backend system handling 100+ concurrent ride requests
  • Implemented efficient driver allocation algorithm reducing average wait time by 30%
  • Designed modular microservices architecture with separate booking, payment, and trip management services
  • Integrated MySQL database with optimized queries, achieving sub-200ms response times
  • Applied object-oriented design patterns (Factory, Observer) ensuring maintainable and scalable code

FarmVista - Plant Disease Prediction System

Python, Flask, CNN
  • Developed AI-powered plant disease detection system using Convolutional Neural Networks (CNN) with 94% accuracy
  • Built Flask-based web application with REST API endpoints for real-time image analysis and disease classification
  • Trained deep learning model on 20,000+ plant images across 15+ disease categories using TensorFlow/Keras
  • Implemented image preprocessing pipeline with data augmentation techniques to improve model robustness
  • Created user-friendly interface allowing farmers to upload plant photos and receive instant disease diagnosis with treatment recommendations

Real-Time Disease Prediction System

Python, Flask, ML
  • Built end-to-end ML solution using Random Forest algorithm on healthcare datasets (5,000+ samples)
  • Developed RESTful APIs with Flask for real-time symptom analysis and disease prediction
  • Achieved 87% prediction accuracy through feature engineering and hyperparameter tuning
  • Created interactive web interface and data visualization dashboards using Matplotlib
  • Implemented model validation and testing procedures ensuring reliable medical predictions

Certifications

Core Java & SQL Certification

EBox
  • Advanced Java programming concepts
  • OOP principles
  • MySQL database management

MySQL Database Certification

IBM
  • Database design
  • Query optimization
  • Performance tuning

Machine Learning Certification

Simply Learn
  • Supervised learning algorithms
  • Data preprocessing
  • Model evaluation

Deep Learning using PyTorch

Guvi
  • Neural network fundamentals
  • CNNs, RNNs
  • Transfer learning
  • Hands-on PyTorch implementation

Achievements & Leadership

Smart India Hackathon 2024

  • Led cross-functional team of 5 developers to national top-10 finish
  • Developed innovative data-driven solution

LeetCode Problem Solver

  • Solved 200+ coding problems
  • Ranked in top 30% of Java developers globally (leetcode.com/u/NITHIL07)