Chennai, India

Yeshwanth Raj

Selvaraj

AI Research Engineer

Building learning systems for adversarial and quantum environments, from error mitigation on commercial QaaS platforms to autonomous security assessment and multi-cloud forensics.

Resume View research

Yeshwanth Raj Selvaraj, AI Research Engineer

Research Focus

Quantum & AI Systems

Engineering

Cyber Security & Cloud

Publication

IEEE Xplore (ICPC2T 2026)

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01 · about

What I'm working toward

Computer Science Engineering student (Cyber Security) with strong software engineering fundamentals and expertise in Python, Java, C++, Go, and JavaScript. Experienced in building AI/ML systems, LLM-driven applications, cloud-native platforms, and secure backend services using AWS, Kubernetes (EKS), Docker, and Terraform.

Strong foundation in scalable system design, DevSecOps, VAPT, threat modeling, and MITRE ATT&CK. Author of a peer-reviewed ML publication in IEEE Xplore, multi-hackathon winner, and active researcher in Quantum Machine Learning (QML) and Post-Quantum Cryptography (PQC).

B.Tech, Computer Science and Engineering (Cyber Security)

Amrita Vishwa Vidyapeetham, Chennai · 08/2023 – 08/2027 (Currently in 7th Semester)

Research interests explorer

Click on any topic to explore research summary & related projects

02 · education

Academic foundations

Building strong foundations in computer science, AI research, and cybersecurity through rigorous academics and continuous learning.

Bachelor of Technology (B.Tech)

Computer Science and Engineering (Cyber Security)

Currently Pursuing · 7th Semester

Amrita Vishwa Vidyapeetham

Chennai, India

August 2023 – August 2027

Artificial IntelligenceMachine LearningDeep LearningCyber Security & VAPTCloud Infrastructure & DevSecOpsData Structures & AlgorithmsDistributed SystemsComputer NetworksOperating Systems & eBPFSoftware EngineeringQuantum Machine Learning & PQC

Author of Peer-Reviewed ML Publication Published in IEEE Xplore (ICPC2T 2026, NIT Raipur)
Ongoing Research in Quantum Error Mitigation and Quantum Cloud Computing
eJPT (Junior Penetration Tester) & Multi-Cloud Industry Certifications
First Prize Winner, Infineon Technologies Hackathon (DSA Track)
Club Coordinator, AMIGOS Amrita Game Development Club (Nov 2023 – Nov 2025)
Solved 100+ LeetCode DSA Problems & Hands-on OWASP Top 10 Mastery

Higher Secondary & Secondary Education

CBSE Curriculum — PCMC Stream

SBOA School & Junior College

Chennai, India

Completed

90.4%CBSE Class X

78.6%CBSE Class XII (PCMC)

Physics, Chemistry, Mathematics, and Computer Science (PCMC)

Completed Higher Secondary Education with a strong foundation in Mathematics, Computer Science, and analytical problem solving. Developed technical and communication skills through academics, leadership activities, sports, and extracurricular participation.

03 · experience

Technical journey

From internships to production-scale cloud security research — building depth across AI, security, and systems engineering.

Career roadmap

2023

Started B.Tech CSE (Cyber Security)

Amrita Vishwa Vidyapeetham

2025

Software Development Intern

Goklyn Pvt. Ltd.

2026

AI & Cloud Services Intern

VINSINFO

2026

Published Research in IEEE Xplore

ICPC2T 2026, NIT Raipur

AI & Cloud Services Intern
02/2026 – 05/2026
VINSINFO
Chennai, Tamil Nadu, India (Hybrid)
- Deployed and operated cloud-native applications on AWS using Docker and Kubernetes (EKS), ensuring high availability and scalable container orchestration.
- Engineered secure cloud infrastructure with AWS VPC segmentation, IAM least-privilege policies, and AWS WAF, aligned with cloud security best practices.
- Built serverless, event-driven workflows using AWS Lambda and API Gateway for automated backend processing.
Software Development Intern
09/2025 – 12/2025
Goklyn Pvt. Ltd.
Internship
- Built and optimized full-stack web applications using React.js, Node.js, JavaScript, and Python, improving performance and reliability.
- Strengthened debugging, testing, and version-control workflows via GitHub-based collaborative development.
- Implemented UI/UX components from Figma specifications, ensuring design-to-code fidelity.

04 · Research

Research output

Quantum error mitigation on QaaS platforms, applied machine learning published in IEEE Xplore, and empirical systems research.

Published Research

[ IEEE Xplore ]

Published in IEEE Xplore – ICPC2T 2026, NIT Raipur[IEEE Xplore Document ↗]

Gradient Boosting-Based Framework for Alzheimer's Disease Prediction Using Clinical and Lifestyle Data

Designed an interpretable ensemble ML pipeline using XGBoost and LightGBM on 2,149 patient records spanning 35 clinical, cognitive, and lifestyle features. Achieved 95.35% accuracy and 0.948 ROC-AUC through ensemble learning and stratified cross-validation, applying SHAP to interpret key predictive features including MMSE, ADL, and Functional Assessment scores.

Core Methodologies & Focus Areas

Gradient BoostingXGBoost & LightGBMSHAP ExplainabilityEnsemble LearningHealthcare AIClinical Data Analysis

95.35%

Accuracy

0.948

ROC-AUC

2,149 Records

Dataset Size

35 Attributes

Features

Official IEEE Xplore Document (ID: 11646411)

https://ieeexplore.ieee.org/document/11646411

05 · Selected systems

Engineering intelligence.

Research prototypes designed as systems: observable, adversarially tested, and built around measurable outcomes.

Case study / p01

Autonomous Adversarial Security Assessment System for VAPT

AI-Driven VAPT · Digital Twin Framework

Engineered a digital twin-based platform enabling production-safe vulnerability discovery, attack simulation, and exploit validation without risking live infrastructure. Automated end-to-end vulnerability scanning and findings correlation via FastAPI with OWASP ZAP, Nuclei, and Metasploit. Applied DQN-based Reinforcement Learning to discover multi-stage attack paths and GANs for zero-day anomaly detection with ELK Stack monitoring.

PythonFastAPIOWASP ZAPNucleiMetasploitDockerKubernetesDQNGANsELK StackDevSecOps

Case study / p02

Cloud IAM Forensics Framework for Threat Detection

Cloud Security & Digital Forensics

Built a multi-cloud IAM forensic framework spanning AWS, Azure, and GCP to detect identity-based threats, privilege misuse, and misconfigurations at scale. Combined graph analytics with ML-based threat classification, mapping detected behaviors directly to the MITRE ATT&CK framework and generating automated forensic reports.

PythonFlaskScikit-learnNetworkXAWS CloudTrailAzure LogsGCP Audit Logs

Case study / p03

TorViz – Tor & VPN Traffic Deanonymization Engine

Network Forensics & Intelligence Platform

Developed a network forensics platform for deep packet inspection (DPI) and analysis of Tor, VPN, and encrypted traffic using NetFlow/IPFIX and PCAP processing. Implemented JA3 TLS fingerprinting, eBPF-based traffic attribution, and C2 channel detection for real-time forensic monitoring and adversary identification.

PythonFastAPIReact.jsScapyeBPFNetFlow/IPFIXJA3DockerLinux

Case study / p04

Behavioral Malware Intelligence using LLMs and API Graph Analytics

Cybersecurity Research · Dynamic Malware Analysis

Developed a dynamic malware detection framework using Heterogeneous Graph Transformers (HGT), LLMs, and Retrieval-Augmented Generation (RAG). Built a ~100K-record Behavioral Malware Knowledge Dataset (BMKD) with MITRE ATT&CK enrichment and sandbox behavioral analysis, alongside a FAISS-based retrieval pipeline with SHAP explainability benchmarked against GCN, GAT, and GraphSAGE.

PythonPyTorchPyTorch GeometricHGTFAISSRAGSHAPMITRE ATT&CK

Case study / p05

AI-Driven LEO Satellite Mesh Routing & Space Edge Computing

Graph ML · Networking · Edge Computing

Designed a software-defined networking (SDN) platform for dynamic, fault-tolerant routing across Low Earth Orbit (LEO) satellite constellations. Built a large-scale orbital simulation framework and applied Temporal GCNs for traffic prediction, congestion forecasting, and route optimization.

GoPythonPyTorch GeometricTemporal GCNsGNNsDockerWebSocketsDistributed SystemsEdge Computing

Case study / p06

AI-Driven Job Intelligence & Automation Platform

Applied AI · Automation Systems

Built an LLM-powered platform for automated resume parsing, skill extraction, and role-suitability scoring. Automated job discovery workflows end-to-end using secure authentication, browser automation (Playwright), and intelligent web data extraction.

PythonPlaywrightLangChainStreamlitLLMs

For more projects and open-source work, explore my GitHub profile.

Explore GitHub

07 · Technical Capabilities

Engineering & research depth

Research engineering across artificial intelligence, quantum computing, cloud systems, and algorithmic foundations.

AI/ML & Research Systems

Design and evaluation of deep learning, reinforcement learning, and GNN pipelines with reproducible methodology and empirical rigor.

Graph Neural Networks
LLMs & RAG
Reinforcement Learning
Quantum Machine Learning
SHAP Explainability

Cloud Security & DevSecOps

Enterprise security architecture across AWS, Kubernetes (EKS), Zero Trust models, and automated adversarial threat detection.

VAPT & Threat Modeling
IAM Forensics
MITRE ATT&CK
eBPF & Network DPI
Zero Trust Architecture

Algorithms & Scalable Backends

Strong foundations in data structures, algorithms, and microservices for production-grade, fault-tolerant systems.

FastAPI & Microservices
Graph Algorithms
Distributed Systems
Kubernetes & Docker
Event-Driven Workflows

Technical Capabilities Map

Interconnected research and engineering domains across AI, quantum, cloud, and systems.

Capabilities

Categorized skills

Programming Languages

PythonJavaC++GoJavaScriptSQLC

AI/ML & Data Science

GenAILLMsDeep LearningReinforcement LearningNLPComputer VisionGNNsMulti-Agent SystemsXGBoostLightGBMCNNsRNNsSHAPGANs

Frameworks & Libraries

PyTorchTensorFlowFastAPIFlaskLangChainRay RLlibvLLMNumPyPandasScikit-learn

Cloud, DevOps & MLOps

AWS (EC2, Lambda, API Gateway, IAM, VPC, WAF, CloudTrail)DockerKubernetes (EKS)TerraformCI/CDZero Trust Architecture

Cybersecurity & Security Tools

eJPTOWASP ZAPNucleiMetasploitBurp SuiteWiresharkNmapKali LinuxVAPTDevSecOpsThreat DetectionNetwork ForensicsMITRE ATT&CKeBPF

Databases & Analytics

MySQLPostgreSQLMongoDBELK StackETL PipelinesTableauPower BI

Web & Developer Tools

React.jsNode.jsExpress.jsHTML5CSS3REST APIsLinuxGitGitHubBashPlaywrightStreamlitAndroid StudioVS CodeFigma

Open Science & Research

Open CodeOpen DataOpen ResultsOpen ScienceOpen Tools and ResourcesEthos of Open Science

08 · credentials & certifications

Verified credentials

Professional certifications across cloud, AI, cybersecurity, and foundational computer science, verified and issued by industry leaders.

Total Certifications

Security

Cloud

AI / ML

NASA Open Science

2 credentials

Verified

NASA Open Science 101

August 2026DSA / CS

NASA Open Science Essentials

August 2026DSA / CS

INE Security

1 credential

Verified

eJPT (Junior Penetration Tester)

August 2026Security

Oracle Cloud Infrastructure

3 credentials

Verified

Architect Associate

2025Cloud

Networking Certification

2025Cloud

Generative AI Professional

2025Cloud

Infosys Springboard

4 credentials

Verified

Artificial Intelligence Primer Certification

2025AI / ML

Principles of Generative AI Certification

2025AI / ML

OpenAI GPT-3 for Developers

2025AI / ML

Deep Learning for Developers

2025AI / ML

NPTEL, IIT Kharagpur

3 credentials

Verified

DSA in Java

2024DSA / CS

Cloud Computing (Elite)

2024DSA / CS

Ethical Hacking

2024Security

Cisco Networking Academy

4 credentials

Verified

Ethical Hacking

2024Security

Cyber Threat Management

2024Security

Endpoint Security

2024Security

Network Defense

2024Security

Palo Alto Networks

4 credentials

Verified

Network Security Fundamentals

2024Security

Cybersecurity Fundamentals

2024Security

Cloud Security Fundamentals

2024Security

Security Operations Fundamentals (SecOps)

2024Security

Ethical Byte

1 credential

Verified

Penetration Pro Essential (PPE)

2024Security

09 · Achievements & Leadership

Recognition

First Prize Winner — Infineon Technologies Hackathon

First Prize Winner, DSA Track in 'Defend the Kingdom' (Jan 2026). Won among 10+ teams (40+ participants) by engineering a time-based simulation system using Dijkstra's Algorithm (evaluated against A*) with event-driven logic, resource-constraint handling, and XML input parsing.

Club Coordinator — AMIGOS Amrita (Game Dev Club)

Club Coordinator at Amrita Vishwa Vidyapeetham (Nov 2023 – Nov 2025). Mentored members in Blender, Unity, and C# scripting; organized technical workshops and hackathons; coordinated BotBattleX 2025 under Amrita CyberNation (ACN 2025), a national-level design sprint with 50+ participants.

Published ML Research — IEEE Xplore

Published in IEEE Xplore at ICPC2T 2026, NIT Raipur for ensemble ML with XGBoost, LightGBM, and SHAP interpretability on clinical and lifestyle healthcare records (95.35% Accuracy, 0.948 ROC-AUC).

LeetCode Profile

LeetCode & Competitive DSA Problem Solving

Solved 100+ problems on LeetCode across DSA, graphs, dynamic programming, trees, and greedy algorithms, with hands-on mastery in secure coding and OWASP Top 10 vulnerability remediation.

View LeetCode Profile

Finalist — Punjab National Bank (PNB) Hackathon

Finalist for developing Q-Sentra, a Post-Quantum Cryptography (PQC) readiness assessment platform that analyzes certificates and exposed APIs to identify cryptographic risks and evaluate quantum-era security posture.

For more achievements, competitive ratings, and tech event winnings:

LeetCode (100+ Solved)LinkedIn

10 · Engineering Impact

Research & engineering output

A record of research contributions, engineering systems, and professional development across industry and academia.

Projects Built

Research Papers

Internships

Certifications

AI/ML & Research Systems

Design and evaluation of deep learning, reinforcement learning, and GNN pipelines with reproducible methodology and empirical rigor.

Graph Neural NetworksLLMs & RAGReinforcement LearningQuantum Machine LearningSHAP Explainability

Cloud Security & DevSecOps

Enterprise security architecture across AWS, Kubernetes (EKS), Zero Trust models, and automated adversarial threat detection.

VAPT & Threat ModelingIAM ForensicsMITRE ATT&CKeBPF & Network DPIZero Trust Architecture

Algorithms & Scalable Backends

Strong foundations in data structures, algorithms, and microservices for production-grade, fault-tolerant systems.

FastAPI & MicroservicesGraph AlgorithmsDistributed SystemsKubernetes & DockerEvent-Driven Workflows

11 · Contact

Let's discuss research, engineering, or opportunities

Open to research collaborations, full-time research engineering roles, and conversations with teams working on AI safety, quantum computing, or applied security.

yeshselva1@gmail.com

Send email

+91 8122995972

Call

LinkedIn Profile

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LeetCode (100+ Solved)

View LeetCode Profile

Credly Certifications

View Credly badges

GitHub Profile

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