Software Engineer with less than a year in AI Security & Full-Stack Development
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Assessing your cultural and operational fit
Aspiring Software Engineer specialized in AI Security and Full-Stack Development. Proven track record in building robust RAG-based systems and performing vulnerability assessments to bridge innovation and secure software standards.
JSS Academy of Technical Education
B.E. · Computer Science and Engineering
N/A – June 30, 2027
1M1B & IBM SkillsBuild
AI Engineer Intern
December 1, 2025 – January 31, 2026
Bengaluru, Karnataka, India
Threat Prism
Cyber Security Intern
May 1, 2024 – June 30, 2024
Bengaluru, Karnataka, India
SwiftChain Pay
April 1, 2026 – June 1, 2026
Engineered a serverless DApp reducing cross-border transaction costs by 90% vs traditional SWIFT. Hardened smart contract infrastructure against reentrancy attacks, ensuring secure asset flow.
AquaGuard-AI
March 1, 2026 – March 1, 2026
Designed predictive monitoring with 12-hour lead time, reducing resource waste by 15%. Automated real-time anomaly detection, improving infrastructure response time to deviations.
DemystiLex
September 1, 2025 – September 1, 2025
Developed an AI-legal platform; implemented RAG architecture reducing manual review time by 70%. Achieved 95%+ factual accuracy using high-precision retrieval pipelines for legal datasets.
Vertex AI API
Google Cloud
June 1, 2026 – Present
RAG
Google Cloud
June 1, 2026 – Present
IBM Agentic AI
Industry
June 1, 2026 – Present
GenAI
Google Cloud
June 1, 2026 – Present
Prompt Design
Google Cloud
June 1, 2026 – Present
NPTEL AI (Elite+Silver)
Industry
June 1, 2026 – Present
Cisco Ethical Hacker
Industry
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning blockchain, AI-legal platforms, and environmental monitoring, indicates a broad interest and adaptability. The combination of AI/LLM and cybersecurity skills suggests a candidate who values both innovation and robustness, which can be a strong cultural fit for organizations prioritizing secure and intelligent systems. The academic background and certifications further demonstrate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (reducing transaction costs, improving accuracy, reducing waste) and a proactive approach to security. The internship experiences suggest an ability to work in structured environments and contribute to specific objectives. The focus on AI and security aligns well with roles requiring innovative and secure software solutions.