🚀 AI/ML Engineer | HPX Contributor (C++) | Systems + LLMs | 🇮🇳 India
- 🔭 Building AI systems that work in real-world environments
- ⚡ Contributor to HPX (C++ distributed runtime, 20+ PRs)
- 🧠 Focus: LLMs, Multimodal AI, Systems, Reliability
- 🚀 Interested in AI + Systems + Startup building
- 🎯 Goal: Crack top AI/ML internship + build SmartBiz AI
🔗 https://github.com/arpittkhandelwal/multimodal-hallucination-detection-clip-blip
- Detects hallucinations in multimodal LLM outputs
- Uses CLIP + BLIP for cross-modal validation
- Focus on LLM reliability + evaluation systems
🔗 https://github.com/arpittkhandelwal/Bharati
- End-to-end AI platform with real-time inference
- LLM-powered chatbot + automation workflows
- Scalable backend APIs for AI services
🔗 https://github.com/arpittkhandelwal/CardioAI
- ML system for coronary blockage detection
- Hybrid model (Random Forest + SVM)
- Explainable AI (XAI) for medical insights
- 📊 70.4% accuracy
🔗 https://github.com/arpittkhandelwal/sepsisguard-ai
- Early sepsis detection using ICU data
- Predicts up to 8.5 hours before diagnosis
- Feature engineering on real-world noisy datasets
🔗 https://github.com/arpittkhandelwal/battery-intelligence-assistant
- ML pipeline for Li-ion battery telemetry
- Event detection using derivative signals (
$di/dt$ ) - Telegram bot for real-time monitoring
🔗 https://github.com/STEllAR-GROUP/hpx
- 20+ merged PRs in distributed runtime system
- Worked on concurrency, schedulers, performance
- Implemented modern C++ parallel algorithms
- Fixed race conditions in core runtime
Python • C++ • JavaScript • TypeScript • SQL
Scikit-learn • Pandas • NumPy • LLMs • RAG
Concurrency • Parallel Computing • Distributed Systems
Node.js • Flask • REST APIs • Docker • Git • Linux
MongoDB • PostgreSQL
⭐ If you find my work interesting, consider following and starring the repositories!