Arvindh Babu V

01 / PROFILE

Building with data, code & curiosity.

I am an Artificial Intelligence and Data Science undergraduate at SRM TRP Engineering College. My work sits at the intersection of Python development, data analysis, machine learning and applied AI.

What I work on

I enjoy turning technical ideas into working systems — from data preprocessing and predictive modelling to AI applications and web-based tools. I am particularly interested in problems where analytical thinking and software engineering need to work together.

My project work has given me hands-on exposure to machine learning, deep learning, NLP, computer vision, generative AI, data analytics and application development.

EDUCATION

B.Tech — Artificial Intelligence & Data Science

SRM TRP Engineering College

2023 - 2027

8.47CGPA

LOCATION

Tiruchirappalli

Tamil Nadu, India

TamilEnglishTelugu

02 / PROBLEM SOLVING

Coding profiles

Selected public profiles for problem solving and technical practice.

03 / TOOLKIT

Technical skills

A capability-focused view of the technologies and concepts I currently work with. No self-rated percentages — only technologies I can discuss and demonstrate.

Programming & Development

PythonSQLJavaDSAOOPOperating SystemsComputer NetworksGit/GitHub

Machine Learning & AI

Machine LearningDeep LearningComputer VisionNLPGenerative AILLMsRAG

Data Engineering & Analytics

Data MiningEDAPandasNumPyMatplotlibScikit-learnPower BIDAXExcel

ML Systems & Deployment

ETL PipelinesData PreprocessingFeature EngineeringModel EvaluationREST APIs

04 / EXPERIENCE & LEADERSHIP

Experience, leadership & campus impact

Industry internships, applied programs, and leadership experience that demonstrate technical execution, collaboration, and initiative.

Student Leadership

President — Data Mavericks, Data Science Club

SRM TRP Engineering College

LeadershipCommunity BuildingTechnical Events

Lead student-club activities focused on data science, analytics, and applied AI, coordinating with student members and faculty.
Support planning and execution of technical sessions, peer-learning activities, and opportunities for students to showcase projects.
Build collaboration, communication, and event-coordination skills while encouraging practical learning across the AI & Data Science community.

Dec 2025 – Feb 2026

Artificial Intelligence & Machine Learning Intern

Tiger World Technologies

Deep LearningViTGrad-CAM

Worked on AI-driven media analysis using deep learning and computer vision techniques for image-based applications.
Explored explainable AI with Grad-CAM to visualize model predictions and improve interpretability.
Gained practical exposure to model optimization, inference workflows and deployment considerations.

Jul 2025 – Aug 2025

Artificial Intelligence & Cloud Virtual Intern

Edunet Foundation | IBM SkillBuild

IBM CloudPythonMachine Learning

Completed industry-oriented training focused on artificial intelligence, machine learning and cloud computing.
Worked with IBM Cloud services for AI-oriented application development and deployment exposure.
Strengthened understanding of cloud-based AI workflows and solution development.

Jul 2025 – Aug 2025

Generative AI Virtual Intern

Prodigy Infotech

Generative AILLMsPython

Developed Generative AI applications using large language models and prompt engineering techniques.
Worked on AI-powered text generation and automation-oriented use cases.
Built practical familiarity with LLM workflows and rapid AI application development.

May 2025 – Jun 2025

Artificial Intelligence & Data Analytics Virtual Intern

Edunet Foundation | AICTE

PythonData AnalyticsPower BI

Applied AI and data analytics techniques to analyse datasets and derive business-oriented insights.
Worked with data preprocessing, visualization, predictive modelling and evaluation workflows.
Strengthened practical analytical thinking through hands-on work with real-world datasets.

Apr 2025 – May 2025

Foundations of Artificial Intelligence Virtual Intern

Edunet Foundation | Microsoft

AIAzure AIMachine Learning

Completed foundational training covering core AI concepts, machine learning fundamentals and responsible AI.
Gained practical exposure through hands-on activities, case studies and industry-oriented learning modules.
Developed familiarity with intelligent systems and cloud-based AI services.

Feb 2025 – Mar 2025

Data Science Virtual Intern

CodSoft

PythonPandasScikit-learn

Worked on data preprocessing, visualization, predictive analytics and machine learning workflows.
Applied Pandas, NumPy, Matplotlib and Scikit-learn to analytical problems.
Developed practical familiarity with feature engineering and model evaluation.

Feb 2025 – Mar 2025

Web Development Virtual Intern

InternPe

HTMLCSSJavaScript

Designed and developed responsive web applications using HTML, CSS and JavaScript.
Implemented interactive interfaces with reusable layouts and responsive design principles.
Strengthened practical front-end development skills through project-based work.

05 / SELECTED WORK

Projects that show how I build.

A curated selection of my strongest work across AI systems, software engineering, computer vision, analytics, cybersecurity and machine learning.

01

ViT-B/16PyTorchGrad-CAMOpenCV

COMPUTER VISION · EXPLAINABLE AI

DeepVision AI — Explainable Deepfake Detection

An explainable deepfake detection framework using Vision Transformers, temporal modeling, and Grad-CAM to analyze facial video sequences and provide interpretable predictions.

PythonPyTorchComputer VisionVision Transformers Temporal ModelingGrad-CAMOpenCVMachine Learning

Project Highlights & Engineering Validation

ViT-B/16 spatial feature extraction with temporal mean pooling for sequence-level classification.
Alternate EfficientNet-B2 + BiLSTM architecture for comparative spatio-temporal modeling.
Facial frame preprocessing, sequence construction, configuration-driven training and evaluation.
Grad-CAM visual explainability with automated unit tests and CPU-compatible smoke validation.
FF++ and Celeb-DF v2 benchmark evaluation remains under evaluation.

View on GitHub

02

FastAPINext.jsPostgreSQLDocker

FULL-STACK · HEALTHCARE TECHNOLOGY

CareGrid — Integrated Hospital Management & Clinical Operations Platform

A modular healthcare operations platform connecting clinical care, emergency operations, diagnostics, pharmacy, billing, administration, analytics and AI-assisted workflows through shared data flows.

Next.jsTypeScriptFastAPIPythonPostgreSQLRedisDocker

Project Highlights

Unified patient, clinical, operational and administrative workflow architecture.
Backend services with FastAPI, PostgreSQL persistence and Redis runtime infrastructure.
Authentication, role-based access control and modular API-oriented design.
Healthcare workflow coverage spanning appointments, triage, diagnostics, pharmacy and billing.

View on GitHub

03

FastAPIPostgreSQLRedisAI Systems

AI SYSTEMS · BACKEND ARCHITECTURE

OMNIS — Omni-Modal Neural Intelligence System

A modular AI systems platform designed around persistent state, knowledge retrieval, tool usage, agent orchestration and extensible cognitive runtime services.

PythonFastAPIPostgreSQLRedisSQLAlchemyDockerPytest

Project Highlights

Layered API, service, repository and database architecture with dependency injection.
Versioned REST APIs, health/readiness endpoints and persistent metadata services.
PostgreSQL with async SQLAlchemy, Alembic migrations and Redis runtime infrastructure.
Engineering foundations include testing, linting, formatting, type checking and Docker infrastructure.

View on GitHub

04

FastAPIPostgreSQLAnalytics

DATA ANALYTICS · FULL-STACK

LeetTracker — Student Coding Analytics Platform

A full-stack class analytics platform that synchronizes LeetCode statistics, preserves historical snapshots, calculates progress growth and presents coding analytics through an interactive dashboard.

PythonFastAPIPostgreSQLREST APIsAnalytics

Project Highlights

Automated synchronization of student problem-solving statistics and tracking status.
Historical snapshots for cumulative progress and daily Easy, Medium and Hard growth analysis.
Leaderboard and ranking workflows based on total solved problems and growth metrics.
Modular backend separating routes, synchronization, analytics and persistence concerns.

View on GitHub

05

QKDPQCWebSocketsQBER

CYBERSECURITY · APPLIED RESEARCH

Quantum-Secured Messaging System

A research prototype for quantum-era secure communication using simulated BB84-based QKD, QBER-driven security decisions, hybrid QKD–PQC key processing and real-time messaging.

PythonFastAPIWebSocketsBB84 QKD Post-Quantum CryptographyQBERAES-256-GCM

Project Highlights

Simulated BB84 quantum key distribution with QBER-based security analysis.
Intercept-resend attack model integrated into the security evaluation workflow.
Hybrid QKD–PQC key processing with AES-256-GCM application-layer encryption.
WebSocket-based real-time messaging with detect-before-communicate control flow.

View on GitHub

06

NLPSemantic SearchFastAPI

APPLIED AI · NLP · CAREER INTELLIGENCE

Resume Career Intelligence

A full-stack AI career intelligence platform for resume analysis, semantic job matching, ATS-oriented analysis, skill intelligence, career planning and interview preparation.

PythonFastAPINLPscikit-learnSentence TransformersFAISSPostgreSQL

Project Highlights

PDF/DOCX resume ingestion with structured extraction of skills, experience and projects.
Semantic job matching using structured and embedding-based signals rather than keyword-only matching.
Hierarchical skill intelligence and explainable analysis of strengths, gaps and evidence.
Modular backend architecture for resume, matching, analysis and career-intelligence workflows.

View on GitHub

07

SQLPower BIDAXPython

BUSINESS ANALYTICS · DATA ENGINEERING

Energy Consumption & Business Performance Analytics

An analytics engineering and business intelligence case study evaluating utility consumption, operating expenditure, price-volume effects and building performance across a commercial portfolio.

PythonSQLSQLitePandasPower BIDAXData Validation

Project Highlights

Structured fact and dimension modeling for building, calendar and utility-rate data.
SQL analytics using CTEs, window functions, ranking and trend analysis.
Price-versus-volume variance decomposition for utility expenditure analysis.
Power BI and DAX reporting supported by automated data-quality and reconciliation checks.

View on GitHub

08

StreamlitScikit-learnPlotly

MACHINE LEARNING · INTERACTIVE ANALYTICS

SpaceY Launch Prediction Dashboard

An interactive Streamlit dashboard that predicts booster landing success from historical launch data while providing orbit-level trends and launch-site visualizations.

PythonScikit-learnStreamlitPlotlyFoliumPandas

Project Highlights

Logistic regression pipeline with categorical encoding and model serialization.
Interactive launch simulation inputs for payload, orbit, booster and launch site.
Plotly trend visualizations and Folium-based launch-site mapping.

View on GitHub

06 / RESEARCH

Research & publications

Research at the intersection of applied AI, security, and emerging computing paradigms.

Research paper · ResearchGate May 2026

Detect-Before-Communicate: A Hybrid QKD–PQC Architecture for Quantum-Secured Messaging with QBER-Driven Intrusion Detection

Author: Arvindh Babu V · ResearchGate record

Presents a hybrid quantum-secured messaging architecture combining BB84-based quantum key distribution (QKD) with post-quantum cryptography (PQC). The system monitors the quantum bit error rate (QBER) to identify potential interception and trigger protective actions such as session termination, message blocking, and re-keying.

Quantum Key Distribution Post-Quantum Cryptography QBER Intrusion Detection WebSockets

Read paper on ResearchGate

Status is described according to the linked ResearchGate record. Add the official conference or journal name and DOI here if applicable.

07 / CREDENTIALS

Selected certifications

Only the credentials most relevant to the current technical direction are highlighted here. The original certificate images remain in the project assets.