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01 · mission briefing

Security is an AI problem.
AI is a security problem.

M.Tech CSE (Cyber Security) student at National Forensic Sciences University, working at the intersection of machine learning and security engineering. I build ML-driven threat detection systems, study how AI systems fail under attack, and have trained inside real SOC environments monitoring live threats. National-level hackathon winner, IndiaSkills medallist, GATE CSE qualified.

I work on both sides of that loop — building ML systems that detect threats, and studying how AI systems themselves can be attacked. My training ground spans academic research labs, government security operations centers, and national hackathon floors.

Builder Researcher Problem Solver Security-Conscious Engineer

education record

National Forensic Sciences University

Integrated B.Tech–M.Tech, CSE — currently M.Tech (Cyber Security specialization)

Aug 2022 – Present · Agartala, Tripura

CGPA 9.1 / 10

coursework/

Data Structures & Algorithm Analysis · Artificial Intelligence · Systems Programming · Software Methodology · Database Management · Internet Technology · Computer Architecture

9.1

CGPA / 10

M.Tech CSE (Cyber Security)

4

Internships

IIT Delhi · NIC · Govt. of India · Industry

National hackathon wins

CipherCop 2025 · Avishkar S3

1st

IndiaSkills NE Regional

Cyber Security domain

02 · field record

Experience

May 2025 – Aug 2025

AI/ML Web Development Intern

Government of India

  • Contributed to AI/ML and web engineering work for a national government organization.
AI/ML Web Engineering

Jan 2025 – Feb 2025

Cyber Security Intern

National Informatics Centre (NIC)

  • Hands-on exposure to live SOC operations, SIEM monitoring, and incident handling workflows.
  • Assisted in analyzing DDoS attacks, security logs, and real-time threat monitoring mechanisms.
SOC SIEM Incident Response DDoS Analysis

Jan 2025 – Feb 2025

AI Security Research Intern

Competent Software Pvt. Ltd.

  • Researched Large Language Model security: risks, vulnerabilities, and attack surfaces.
  • Explored emerging security challenges and mitigation techniques for AI and LLM-based systems.
LLM Security AI Risk Threat Modeling

Jun 2024 – Jul 2024

Research Intern

Indian Institute of Technology, Delhi

  • Conducted an in-depth literature survey across contemporary cybersecurity research.
  • Authored a review paper applying quantitative research methods for structured comparison and analysis.
Research Cybersecurity Academic Writing

Research interests

My research interests sit where AI and security collide: LLM attack surfaces, adversarial machine learning, ML-driven threat detection, and the shift toward post-quantum cryptography.

exploring: Quantum computing & post-quantum cryptography exploring: Adversarial machine learning exploring: LLM security & red-teaming

03 · project files

Projects

Each file opens a full breakdown: problem, architecture, stack, impact, and what it taught me.

file_01 · THREAT-DETECT

● NATIONAL WINNER · CIPHERCOP 2025

CyberVajra

AI-powered detection of fraudulent URLs and malicious APKs.

Python ML models Feature engineering Static APK analysis

open file →

file_02 · POCKET-ANALYST

● BUILT AT IQOO HACKATHON 2026

Nullify

A multi-agent mobile security analyst that shields students from phishing, scams, and social engineering — in real time.

Python FastAPI scikit-learn Selenium

open file →

file_03 · QUANTUM-RISK

● WORKING PROTOTYPE · POST-QUANTUM

T4SKFORCE Enterprise

A quantum-security scanner that discovers cryptographic assets in banking systems and scores their vulnerability to quantum attacks.

Python FastAPI scikit-learn TLS analysis

open file →

file_04 · SUPPLY-CHAIN

● NATIONAL WINNER · AVISHKAR S3

MedPath

Barcode-driven hospital drug inventory and supply-chain platform with real-time, unit-level traceability.

Python Flask SQLAlchemy SQLite

open file →

file_05 · DATA-EXTRACT

● OPERATIONAL

Web Intelligence Pipeline

Automated web data extraction and AI-powered summarization at scale.

Python BeautifulSoup Selenium NLP

open file →

file_06 · SELF-HOST

● LIVE · YOU ARE INSIDE IT

This Portfolio

A DevSecOps exhibit: hardened static site with automated edge deployment.

Astro React islands TypeScript Tailwind CSS

open file →

04 · capability map

Skill constellation

Three domains, one system. Node size reflects depth of use.

skill_constellation.map — hover to isolate a domain

05 · verified record

Achievements

2026 exam

GATE CSE 2026 — Qualified

National graduate-level examination in Computer Science & Engineering.

2026 competition

IndiaSkills National Competition — Competitor

Representing at the national level in the Cyber Security domain.

2025 ★ first place

IndiaSkills North-East Regional — 1st Place

Gold in the Cyber Security domain, qualifying for Nationals.

2025 ★ first place

CipherCop 2025 — National Hackathon Winner

First place in a national-level cybersecurity hackathon organized by BPR&D, ISB, and TGCSB, with CyberVajra.

2024 ★ first place

Avishkar Season 3 — National Hackathon Winner

Winning team for a practical, technology-driven solution (MedPath).

2024 research

Best Paper Award — International Conference

IES College of Engineering, for research presentation.

06 · secure channel

Open a connection

Recruiting, research collaboration, hackathon teams, or hard problems in AI × security — I respond fast on LinkedIn. Or skip the pleasantries and type sudo hire in the terminal.

tashee@portfolio: ~ (interactive — type here)

tashee@portfolio:~$ session established

type 'help' to list commands, or try 'sudo hire'