Nishanth R

Nishanth R

Software Developer

Bengaluru, Karnataka, India

nishanthr2713@gmail.com


About

Software Developer focused on AI/ML, Generative AI, and Full-Stack Development. Experienced with Python, JavaScript, React, Next.js, FastAPI, and SQL. Passionate about building innovative applications, exploring emerging technologies, and connecting with the developer community.

Skills
Python
Java
JavaScript
React
Next.js
Flutter
PostgreSQL
Gemini
LangChain
Android
Node.js
CI/CD
System Design
Product Management
Experience

AI Automation Engineer Intern

AI Automation Engineer Intern

Jun 2026 to Oct 2026
  • Developed AI-powered automation workflows to streamline repetitive tasks and improve operational efficiency.
  • Explored and integrated AI/LLM capabilities into automation pipelines to support intelligent task execution.
  • Built and tested Python-based automation components, focusing on workflow reliability and maintainability.

Software Engineer Intern

Bluestock Fintech

Feb 2026 to Apr 2026
  • Developed and tested backend features and REST APIs using Python to support application functionality.
  • Integrated AI/LLM-driven recommendation outputs into backend workflows in collaboration with senior developers.
  • Debugged application-level performance issues and followed established software engineering practices.

Python Programming Intern

CodeTech IT Solutions Pvt. Ltd

Jan 2026 to Feb 2026
  • Developed and debugged Python scripts using Pandas and NumPy to process structured datasets.
  • Optimized data-processing workflows, achieving approximately 50% reduction in processing latency.
Projects

FraudShield — AI-Driven Fraud Detection

Built an AI-powered financial fraud detection system using XGBoost, with a Next.js frontend, FastAPI backend, and PostgreSQL database for transaction risk analysis.

Python
XGBoost
FastAPI
Next.js
PostgreSQL
Prisma
Docker

VitaScan AI — Multi-Disease Screening

Developed an AI-assisted screening application covering dementia, breast cancer, malaria, and anemia using disease-specific image or data inputs and machine learning workflows.

Python
Machine Learning
Deep Learning
FastAPI
Next.js
PostgreSQL

RetailPulse AI — Multi-Agent Analytics

Built a multi-agent AI workflow for demand forecasting and inventory analysis, coordinating backend agents to generate actionable retail insights.

Python
FastAPI
Generative AI
AI Agents
Demand Forecasting

CuroMinds — LLM-Powered RAG Application

Developed a retrieval-augmented generation application using LangChain and large language models to retrieve relevant information and generate context-aware responses.

Python
LangChain
LLMs
RAG
FAISS
MongoDB
Education

Bachelor of Engineering (B.E.) in Computer Science and Engineering

Sai Vidya Institute of Technology · 9.2

Aug 2023 to Jun 2027