available for work
01
about
I'm a software developer who likes building things that are fast, simple, and don't get in the user's way. I care about clean code as much as clean interfaces — the two usually go together.
Most of my work sits at the intersection of backend systems and practical frontend — APIs, data pipelines, and the UI layers that make them usable. I like shipping over polishing forever.
Outside of work I read source code for fun, contribute to a couple of open-source projects, and am usually mid-way through breaking something in a side project.
- JavaScript / TypeScript
- React / Next.js
- Node.js
- Python
- PostgreSQL
- Docker
- AWS
- Git / CI-CD
02
projects
01
Sign Language Interpreter
Developed a system that translates sign language gestures into text and speech using ML models. Enhanced real-time communication for the hearing impaired through image recognition.
02
DDoS Attack Prevention Tool
A cybersecurity tool that monitors network traffic to detect unusual patterns. It mitigates Distributed Denial of Service (DDoS) attacks using filtering and rate-limiting.
03
PhishRL: An End-to-End Reinforcement Learning Pipeline for Automated Email Threat Triage
Built a Reinforcement Learning-based system to detect, score, and prioritize phishing emails, enabling automated threat triage and faster security incident response.
04
Resume Screening AI – Intelligent ATS & Candidate Ranking Platform
Resume Screening AI is an AI-driven Applicant Tracking System (ATS) that automates resume parsing, skill extraction, candidate ranking, and job-fit analysis.
05
DSA Benchmark Studio
A web-based platform that evaluates and compares the performance of different Data Structures and Algorithms — measuring execution time, memory usage, and time complexity across input sizes with interactive visualizations.
03
publications
IEEE
PhishRL: An End-to-End Reinforcement Learning Pipeline for Automated Email Threat Triage
PhishRL is an AI-powered email threat detection system that leverages Reinforcement Learning to automatically identify, classify, and prioritize phishing emails based on their risk level. The platform analyzes email content, headers, URLs, and attachments to generate intelligent threat scores, helping security teams respond more efficiently. By automating email threat triage, PhishRL reduces manual analysis time, improves detection accuracy, and strengthens organizational cybersecurity.
View on IEEE Xplore ↗
04
contact
Have a project in mind, or just want to talk shop? My inbox is open.