MS Computer Engineering @ Virginia Tech | Software Engineer | Machine Learning Researcher
I'm a software engineer and graduate student passionate about leveraging technology to tackle real-world challenges. My work spans machine learning, software engineering, computer networks, and cybersecurity—with a particular focus on building scalable systems that push the boundaries of what's possible.
class DarshanNere:
def __init__(self):
self.role = "MS Computer Engineering Student"
self.location = "Blacksburg, VA"
self.education = "Virginia Tech"
self.graduation = "2026"
self.interests = [
"Machine Learning & AI",
"LLM Security & Optimization",
"Full-Stack Development",
"Cybersecurity (CTFs & Penetration Testing)",
"Human-Computer Interaction"
]
self.current_work = {
"research": "LLM security, mathematical reasoning, wearable feedback systems",
"ta": "Graduate Teaching Assistant @ VT",
"ra": "Research Assistant @ VT"
}
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together 🚀")
me = DarshanNere()
me.say_hi()Python • TypeScript • JavaScript • C++ • Java • Kotlin • Dart • Go
SQL • R • Swift • PHP • Assembly
PyTorch • TensorFlow • Keras • Scikit-learn • Pandas • NumPy
Transformers • LangChain • Hugging Face • OpenCV • MediaPipe
React • Next.js • Vue.js • Nuxt • Astro • SolidJS
Node.js • Express • NestJS • Django • Flask
TailwindCSS • Bootstrap • Vite
Flutter • React Native • Expo • Swift • Kotlin
AWS • GCP • Firebase • Vercel • Netlify • Cloudflare
Docker • Nginx • GitHub Actions • GitLab CI
PostgreSQL • MySQL • MongoDB • DynamoDB • SQLite
Prisma • Supabase • PlanetScale
- 🏋️ FlexGuard: Preventing Injuries in Strength Training with Wearable Feedback
- 🔒 A Cross-Layer Survey of Security for Large Language Models
- 💻 My VT Hacks 12 Experience: Building HomeRun Platform
➡️ Read more on darshannere.com/blog
academic:
- MS Computer Engineering @ Virginia Tech (2024-2026)
- Research in LLM optimization, security, and HCI
- Graduate TA/RA with published research
technical:
- 71% accuracy on GSM8K with GRPO (beating SOTA small models)
- Built search engine handling 10M+ queries/second
- Municipal software serving 50,000+ users
- CTF competitor on HackTheBox
community:
- VT Hacks 12 Participant
- FOSSASIA Contributor
- Technical blogger with 10+ articles
- Open source contributorconst currentlyWorkingOn = {
🔬 research: [
"Converting CTF challenges to JSONL for Cybench-LLM",
"Optimizing LLM reasoning with GRPO/DPO",
"Wearable feedback systems for injury prevention"
],
🎓 learning: [
"Advanced RL techniques (GRPO, DPO, PPO)",
"LLM security and jailbreak prevention",
"Multi-agent system architectures"
],
🛠️ building: [
"High-performance data engineering pipelines",
"CTF challenge automation tools",
"Research paper conversion utilities"
],
💼 seeking: [
"Data Engineering opportunities",
"Software Engineering roles",
"Research collaborations in ML/Security"
]
};I love to build and break things. Whether it's creating efficient systems or solving complex CTF challenges, I'm motivated by projects that require deep technical understanding and creative problem-solving.
Open to:
- 💼 Full-time opportunities (Data Engineering, Software Engineering, ML)
- 🤝 Research collaborations
- 💡 Interesting technical discussions
- 🏆 CTF team invitations
Best ways to reach me:
- 📧 Email: darshan.nere2@gmail.com
- 💼 LinkedIn: darshan-nere
- 🌐 Website: darshannere.com
- 🐦 Twitter: @DarshanNere
- 🎯 HackTheBox enthusiast - solving CTF challenges in my free time
- 🏗️ Built software serving 50,000+ citizens
- 📊 Published research on LLM optimization and wearable feedback systems
- 🌐 Contributed to FOSSASIA open source projects
- 🚀 Can optimize your model to run on consumer hardware (proved it with Qwen2.5-3B!)
- ☕ Fueled by coffee, curiosity, and challenging problems
✨ Thanks for visiting! Let's build the future of technology together.