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AI Engineer & Intelligent Systems Builder · Cyber Security Enthusiast

AI by curiosity. Cybersecurity by obsession. Impossible problems by choice.

I teach machines to do things they probably shouldn't — mostly to see what happens. I've made models read faces, predict the Sun's mood swings, argue with humans, and turn experiments into IEEE research. I build intelligent systems, put contracts on the blockchain, and love breaking systems just enough to understand how to secure them.

Featured Projects

Digital Contract Platform

Full-Stack + AI + Web3

Distributed microservices platform for secure contract management, AI risk analysis, and blockchain verification.

Next.jsExpress.jsPythongRPC+2

Loomera

AI + Full-Stack + E-Commerce

AI-powered silk classification and recommendation platform integrating deep learning and e-commerce.

MobileNetV2TensorFlowFlaskGrad-CAM+1

Emojify

AI + Real-Time System

Real-time facial emotion detection system with live emoji overlay.

KerasOpenCVTensorFlowCNN+1

AI Resume Builder

Full-Stack + AI

AI-powered system generating ATS-compliant resumes from minimal input.

FlaskTogether APIPuppeteerMongoDB+1

Sentient NPC

AI + Systems + Voice Interface

Offline conversational AI system with voice interaction.

PythonTransformersSTTTTS

QR Code Detection with YOLOv8

Computer Vision + AI

Complete pipeline for training and inference of a YOLOv8 model to detect QR codes in images.

PythonYOLOv8UltralyticsLabel Studio
View All My Projects

Professional Experience

Full-Stack Developer Intern

Janmamithra Trust, Bengaluru Dec 2024 – Jan 2025
  • ▹Designed and implemented responsive web interfaces ensuring cross-device compatibility and seamless user experience.
  • ▹Built a secure PHP–MySQL administrative portal for managing projects, volunteers, and organizational events with role-based access.
  • ▹Implemented authentication mechanisms, session handling, and CRUD database operations to ensure secure data management.

AI Intern

Dhee Center for AI & Data Science Jun 2024 – Jul 2024
  • ▹Developed an LSTM-based time series forecasting model to predict sunspot activity by designing optimized preprocessing pipelines and feature scaling strategies.
  • ▹Conducted trend analysis and data visualization to interpret long-term periodic patterns and model performance stability.
  • ▹Improved prediction accuracy through hyperparameter tuning, loss optimization, and iterative experimentation.

Technologies

PythonDeep LearningComputer VisionTensorFlowNext.jsReactNode.jsCybersecurityBlockchainDockergRPCOpenCVYOLOv8MongoDBTransformersPythonDeep LearningComputer VisionTensorFlowNext.jsReactNode.jsCybersecurityBlockchainDockergRPCOpenCVYOLOv8MongoDBTransformersPythonDeep LearningComputer VisionTensorFlowNext.jsReactNode.jsCybersecurityBlockchainDockergRPCOpenCVYOLOv8MongoDBTransformers

Research

IEEE Conference Paper

Design and Enhanced Analysis of Silk Fabric Classification Using MobileNetV2 with Grad-CAM Interpretability

An AI-based fabric estimator solution to help customers confidently buy silk sarees online, reducing return rates.

Read Full Abstract
Data Science & AI

SolarCycle Analysis & Prediction

End-to-end analysis of solar sunspot cycles and LSTM-based forecasting modeling.

Read Full Abstract
Connection Established

Let's talk

Mail me
I reply within 24 hours
Available for projects

Let's worktogether

Have a project in mind? I'd love to hear about it. Let's create something exceptional together.

nithi9905@gmail.com