08/04/2026 updated

SP
100 % available

Junior Full Stack Developer | AI & ML Enthusiast | Python | React JS | REST APIs

THANJAVUR, India
Only remote
Bachelor of Technology in Artificial Intelligence and Data Science
THANJAVUR, India
Only remote
Bachelor of Technology in Artificial Intelligence and Data Science

Profile attachments

shanthini_resume_FS_.pdf

LLMApplication Programming Interfaces (APIs)DjangoPython (Programming Language)Machine LearningMessaging Application Programming InterfaceData ScienceReact.jsFlaskBackendFull Stack DevelopmentMachine Learning OperationsReact NativeFront End Software DevelopmentApi DesignRestful Api
Full Stack Web Development
Development and maintenance of full-stack web applications across frontend and backend, including responsive user interfaces, API integrations, and database-driven functionality using React JS, Python, SQL, and REST APIs.

RESTful API Development
Building and integrating RESTful APIs in Flask applications, covering authentication systems, logging mechanisms, database interaction, and error handling, with version control managed via Git.

Artificial Intelligence and Machine Learning
Development of AI-driven models including medical imaging with CNNs, geo-hazard prediction using Informer Transformer, CatBoost, and U-Net, as well as CPU and memory usage forecasting using the SARIMA model.

Python Programming
Proficiency in Python for web development, data science, machine learning, and automation tasks, including data preprocessing and model development.

SQL and Database Management
Implementation of database schemas, query optimization for efficient data retrieval and scalability using MySQL and SQL.

Data Visualization and Analytics
Creation of interactive dashboards using Power BI, including data cleaning with Power Query and dynamic visualizations such as KPIs, charts, filters, and slicers for data-driven decision-making.

Cloud and DevOps Tools
Experience with tools and platforms including GitHub, Linux, Postman, WSL, MySQL, and Docker for development, testing, and deployment workflows.

Agentic AI and LLM Integration
Design and development of agentic AI-driven lead generation systems with LLM-based personalization for outreach, automated pipelines for lead extraction, scoring, and CRM updates.

Java and Debugging
Knowledge of Java programming and debugging practices, including writing reusable code, participating in code reviews, and agile development processes.

Experience

Professional experience0 - 5 years
Freelancer since2026

Languages

GermanBasic knowledgeEnglishNative speakerSpanishGood

Project history

Junior Full-stack Developer

Edutantr
Developed and maintained full-stack web application features across frontend and backend, contributing to responsive user interfaces, API integrations, and database-driven functionality. Collaborated with cross-functional teams to implement, test, and optimize modules such as user authentication, course management workflows, and dashboard components. Supported debugging, feature enhancements, and deployment activities.

Learning Management System

Project
Designed and developed a full-stack Learning Management System enabling user authentication, course enrollment, and role-based access. Built and integrated RESTful APIs for course management, video/content delivery, and progress tracking. Implemented database schemas using SQL and developed responsive UI components for dashboards and course pages.

Agentic AI Lead Generation System

Project
Designed and developed an agentic AI-driven lead generation system to automate prospect discovery, qualification, and outreach workflows. Implemented LLM-based personalization for outreach messages and built end-to-end automated pipelines for lead extraction, scoring, CRM updates, and campaign scheduling.

Bank Churn Analysis

Project
Developed an interactive Bank Churn Analysis dashboard using Power BI to identify key factors contributing to customer attrition. Performed data cleaning and transformation using Power Query and created dynamic visualizations to uncover patterns in customer behavior, retention, and churn trends.

JAARVIS - Justified Alert and Real-time Visualization for Intelligent Surveillance of Rare Geo-Hazards

Project
Developed an AI-driven geo-hazard prediction system leveraging advanced models such as Informer Transformer, CatBoost, and U-Net to analyze spatial-temporal patterns and predict rare environmental events. Integrated real-time and historical geospatial datasets for probabilistic forecasting and designed an interactive dashboard for real-time visualization and alert generation.

Software Developer Intern

Nife Labs
Gained hands-on experience building and integrating RESTful APIs in a Flask application, worked with cloud-based tools, authentication systems, and logging mechanisms. Developed an AI-based CPU and memory usage forecasting and automation project using the SARIMA model for predictive resource management. Collaborated using Git and managed code merges and version control.

AI and ML Intern

Infilabs
Developed AI-driven medical imaging models using CNNs for disease detection, leveraging Python, transfer learning, and data preprocessing techniques.

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