I'm a software engineer with a deep background in machine learning, data science, distributed systems, and backend infrastructure. I love to write code and train models in Machine Learning. I like understanding how things work at every layer, which means I have a tendency to build things from scratch when I could probably just use a library. It's a problem I've made peace with.
I'm very fascinated by life sciences and actively look to use my skills to solve problems in those fields. I reguarly build projects related to neuroscience, computational biology, and the intersection of machine learning with both. I love thinking about how do biological systems encode and transmit information, how do ecological networks self-organize, what do large-scale vision and language models actually learn when trained on biological data, and whether any of that maps onto how real neural systems operate.
The Neuro-AI space is where I think the next genuinely interesting things will happen. The idea of applying ML to biological datasets and using what we know about biological computation to better understand Artifical systems and vice versa(The vice versa is very important. Imagine my suprise when I founnd out we can actually understand more about our brain by experimenting with Artifical Networks)
So, to summarize, my interests are wide and varied but all of them are connected by my love for life and curiosity toward intelligent machines.
I'm currently at the early stages of bridging my systems background into computational biology and neuroscience research. This page is where that work lives. I welcome any opportunities for research.
Current focus: Meridian, a multi-agent intelligence system that filters signal from high-volume information streams and delivers what actually matters, when it matters.
| Project | What it does | Stack |
|---|---|---|
| Meridian | Multi-agent AI intelligence system with persistent memory, real-time workflows, and an iOS companion | Python · TypeScript · Claude API · RAG |
| Tartarus Gate | Layered security platform: WAF + ML-based malware detection + active threat neutralization | Rust · Python |
| News Aggregator | Serverless AI pipeline: 19 sources, LLM-filtered, curated intelligence delivered daily by email | Python · AWS Lambda · DynamoDB · Claude API |
| Automotive Security | TLS 1.3 + AES-256-GCM secure ADAS communication with full STRIDE threat model and local PKI | Python |
| CyberSec Research | Security research lab: DNS spoofing detection, AES reverse shells, steganography, rootkit analysis | Python · C |
| Repository | Description | Stack |
|---|---|---|
| Meridian | Multi-agent AI intelligence system with persistent memory and real-time workflows · live | Python · TypeScript · Claude API |
| NewsAggregator | Serverless AI pipeline: 19 sources, LLM-filtered intelligence delivered daily | Python · AWS |
| threat-intel · live · repo | CVE feed: 5-tier classification, EPSS scoring, AI-enriched MITRE mappings | TypeScript |
| fleet-ops-api | REST API for fleet management: vehicles, drivers, trips, and maintenance with JWT auth and role-based access | Java · Spring Boot · PostgreSQL |
| CyberSecProjects | Security research: rootkits, C2 simulation, DNS spoofing, phishing detection | Python · C |
| ReverseShell | AES-encrypted reverse shell with C2 communication | Python |
| vehicle-threat-model | STRIDE threat model for automotive ECU and ADAS architecture | Mermaid |
| automotive-secure-communication-demo | TLS 1.3 + AES-256-GCM ADAS comms with mutual certificate auth and local PKI | Python |
| folio | GraphQL API for editorial publishing workflows | Go · PostgreSQL |
| PocketCoach | Real-time iOS exercise form analyzer using Vision body pose estimation | Swift |
| Flashforge | iOS app: OCR + Claude API to generate flashcards from anything you read | Swift |
| SwiftProjects | iOS projects built in Swift and SwiftUI | Swift |
| neetcode-submissions-dsa | Algorithm problem solutions from NeetCode.io | Python |
Languages C++ Python SQL Go C TypeScript
Distributed Systems & Database Internals
Raft Consensus Leader Election Log Replication Consistent Hashing LSM-Tree WAL MVCC SSTable Bloom Filters Leveled Compaction Partitioned Message Queues In-Sync Replica Tracking
Cloud & Infrastructure
AWS (Lambda · DynamoDB · S3 · IAM · ECS · CDK · SQS · SES) Docker Linux
Backend & Systems
REST APIs ETL Pipelines PostgreSQL MySQL Redis System Design OOP Design CI/CD
Security
Threat Modeling Application Security Cryptography OWASP Top 10 Penetration Testing
AI / ML
Machine Learning, LLMs RAG Systems Claude API Agentic Systems