Bhargav Bhardwaj

Intern

Bihar, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Top 1% globally on TryHackMe
Hands-on experience in SOC and defensive security
Passionate about Ethical Hacking and Network Defense

Stackforce AI infers this person is a Cybersecurity and AI enthusiast with practical experience in offensive security and AI model training.

Contact

Skills

Core Skills

CybersecurityNetwork SecurityArtificial IntelligenceProblem Solving

Other Skills

PythondnspythonKali LinuxBurp SuiteWiresharksocket programmingData AnnotationAI trainingEntrepreneurshipAmazon Web Services (AWS)Web Application SecurityHypertext Transfer Protocol Secure (HTTPS)IDOROWASP TOP 10 (WEB + API)NLP

About

As a Cybersecurity student at VIT-AP University, I bridge the gap between vulnerability and vigilance. I am passionate about Ethical Hacking and Network Defense because I believe proactive security is the foundation of digital trust. With hands-on experience in SOC and defensive security, I am actively seeking opportunities to contribute to a forward-thinking security team and solve real-world defense challenges.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Inlighnx global pvt ltd (inlighn tech)

Offensive Cybersecurity Intern

Apr 2025 – Jul 2025 · 3 mos

Built a Python-based reverse shell backdoor using socket programming, implementing Base64 file transfer, JSON session control, and directory traversal for use in controlled pentest environments.
Developed a custom DNS enumeration tool with dnspython capable of extracting 6+ record types (A, AAAA, MX, CNAME, TXT, SOA) for passive OSINT and reconnaissance.
Conducted network enumeration and attack simulation exercises, improving understanding of real-world offensive security kill chains.
Tools used: Python, dnspython, Kali Linux, Burp Suite, Wireshark.

PythondnspythonKali LinuxBurp SuiteWiresharkCybersecurity+1

Scale ai

AI Model Trainer

Oct 2024 – Jul 2025 · 9 mos · India · Remote

Contributed to training and improving AI models by evaluating and refining complex mathematical and logical prompts across 15+ projects.
Reviewed and refined prompts to ensure clarity, accuracy, and solvability, maintaining high-quality standards for AI-generated content.
Analyzed prompts for ambiguity, logical consistency, and uniqueness of solutions, enhancing model reliability and performance.
Modified and optimized tasks to eliminate multi-interpretation issues and ensure well-defined outputs.
Applied strong problem-solving and analytical thinking skills to validate solutions and improve dataset quality.
Collaborated in iterative feedback cycles to continuously enhance AI response accuracy and reasoning capabilities.
Worked on diverse domains including mathematics, logic-based reasoning, and introductory computer science concepts.

Data AnnotationAI trainingArtificial IntelligenceProblem Solving