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Architecting intelligent, secure systems at the intersection of artificial intelligence, cybersecurity, and cloud infrastructure. I build software that doesn't just work — it endures.
I'm a Computer Science student with an obsession for building systems that are not only powerful — but provably secure. My work sits at the junction of artificial intelligence, cybersecurity, and cloud-native software engineering.
From reverse-engineering malware samples in isolated labs to deploying ML pipelines on cloud infrastructure, I thrive at the deep end. I believe the future of technology is defined by engineers who can think at both the application layer and the adversarial layer simultaneously.
When I'm not writing code or hunting vulnerabilities, I'm leading intellectual discourse as Debate Club Chairperson, mentoring peers on technical concepts, or diving into research on emerging threats in AI-integrated systems.
Penetration testing, threat modeling, network security, vulnerability assessment, malware analysis
Machine learning, neural networks, NLP, model deployment, data pipelines, AI systems architecture
Full-stack development, REST APIs, real-time applications, progressive web apps, responsive design
Cross-platform mobile applications, native-like performance, real-time sync, Firebase integration
Cloud architecture, serverless functions, containerization, CI/CD pipelines, infrastructure as code
System design, data structures, algorithms, OOP, version control, agile methodologies
Data analysis, statistical modeling, visualization, predictive analytics, ETL pipelines
TCP/IP, network protocols, Linux administration, firewall configuration, VPNs, packet analysis
An intelligent conversational assistant powered by large language model APIs with custom memory management, context-aware responses, voice synthesis, and a progressive web app interface — deployable as both a standalone tool and an embeddable widget.
A virtualized penetration testing environment featuring custom attack-and-defend scenarios, automated vulnerability scanning, log aggregation, and real-time threat detection dashboards built on a self-hosted infrastructure stack.
An interactive data analytics platform ingesting multi-source datasets, processing them through ML-powered insight engines, and presenting real-time KPIs through dynamic, filterable visual dashboards with export capabilities.
An automated cloud deployment orchestration system leveraging containerized microservices, GitHub Actions CI/CD pipelines, and Terraform-managed AWS infrastructure — enabling zero-downtime deployments with rollback mechanisms.
Leading a team of 40+ members through competitive debate tournaments, moderating intellectual discourse on technology policy, AI ethics, and digital rights. Organized inter-university competitions and built a culture of critical thinking and rigorous argumentation within the club.
Designed and built end-to-end software systems across mobile, web, and cloud platforms. Delivered production-grade applications for real users, implementing secure authentication, scalable backends, and optimized UX. Maintained open-source contributions and technical documentation.
Conducting structured offensive security research in a personal virtualized lab environment. Topics include exploit development, network intrusion detection, malware reverse engineering, and post-quantum cryptography. Regularly completing CTF challenges on platforms like TryHackMe and HackTheBox.
Networking fundamentals, IP addressing, routing & switching concepts, network security basics.
Cloud concepts, AWS core services, security, architecture, pricing and support models.
Technical support, system administration, networking, operating systems, security, and IT automation.
Web exploitation, network pentesting, privilege escalation, Metasploit, Burp Suite, and active directory attacks.
Supervised/unsupervised learning, neural networks, reinforcement learning, and ML deployment strategies.
Security frameworks, SIEM tools, Python automation for security, threat analysis, and incident response.
Deep-diving into offensive security — buffer overflows, shellcode, Active Directory exploitation, advanced evasion techniques, and custom C2 framework development.
Building production AI systems — RAG architectures, fine-tuning LLMs, agentic workflows, vector databases, and integrating AI safely into security-sensitive environments.
IAM hardening, secure cloud architecture, Zero Trust networking, secrets management, and compliance frameworks (SOC 2, ISO 27001) applied to AWS and GCP environments.
Kernel development, memory management, process scheduling, system call interfaces, file system design, and low-level Linux internals for security-aware software engineering.
Whether you're looking for a skilled collaborator on a security project, an AI integration, or simply want to talk technology — my inbox is open. Let's build something remarkable.