👋 Hi, I'm Nikita Annt
Principal Full Stack & ML Engineer | AI Research Contractor | 9+ Years of Experience
Mountain View, CA | Email | LinkedIn | GitHub
🚀 About Me
Elite AI Research Contractor specializing in Large Language Models, Transformer architectures, and production-grade AI systems. Currently working with three of the world's largest AI research laboratories through Mercor, providing CTO-level task orchestration, adversarial testing, and model evaluation for next-generation coding agents.
With 9+ years architecting high-availability platforms and neural interface systems, I bridge abstract AI research with scalable, production-ready execution. Proven track record of 60%+ system latency optimization and 25% user engagement improvements through adaptive AI solutions.
🛠️ Technical Expertise
Languages:
Python • C++ • JavaScript/TypeScript • SQL • Ruby • R
AI & Machine Learning:
PyTorch • TensorFlow • Hugging Face Transformers • LLM Fine-tuning • RLHF • Model Evaluation • Adversarial Testing • Vertex AI • OpenCV • EEG Signal Processing
Web & Infrastructure:
React.js • Node.js • Ruby on Rails • GraphQL • Docker • Kubernetes • AWS • GCP
Data & Analytics:
Pandas • NumPy • Apache Spark • Financial Modeling • Algorithmic Trading • Qdrant RAG • Supabase
💼 Professional Highlights
Elite AI Research Contractor @ Mercor (Aug 2025 - Present)
- Conducting CTO-level evaluation of frontier coding agents and LLMs not yet publicly released
- Performing comprehensive adversarial testing (red-teaming, jailbreak attempts, prompt injection)
- Designing complex coding challenges across environment configuration, database schema, API development
- Generating RLHF/DPO training data for model improvement
- Collaborating with leading AI researchers on evaluation benchmarks
Principal ML Engineer @ Mother Games (Mar 2023 - Jun 2025)
- Architected LLM-based dialogue engine using custom Transformer models for NPC interactions
- Built real-time player behavior analysis pipeline +25% user retention
- Engineered emotionally intelligent game agents with optimized inference latency
- Designed scalable microservices architecture
Quantitative ML Researcher @ WorldQuant (Mar 2025 - Present)
- Engineering advanced ML models for alpha generation in financial datasets
- 40% improvement in backtesting pipeline execution speed
Senior Full Stack Engineer @ The Asian Classics Institute (Mar 2020 - Sep 2023)
- Maintained high-traffic platform (10k+ users) achieving 99.9% uptime
- 60% latency reduction through API and microservice optimization
- 40% increase in user engagement via recommendation algorithms
Lead Systems Engineer @ Luciding (Sep 2014 - Apr 2019)
- Engineered firmware and signal processing for EEG wearable devices in C++
- Managed high-throughput biometric data pipeline for 1,000+ participants
🔬 Research & Open Source
Active Research Areas:
- Novel human-AI interaction frameworks
- Transformer architectures for therapeutic dialogue
- Psychological network analysis and personality profiling
- Neural brainwave signal processing
Notable Projects:
- LLM Gameplay Integration - AI-powered gameplay with Claude Vision, Qdrant RAG, Supabase (shadow-of-the-wyrm-AI, crawl_AI forks)
- Neuro-Hiring Platform - Next.js hiring platform with Five-Factor Model personality profiling
- AI-Meta Glasses Integration - Autonomous behavioral event processing for habit tracking
- Open Source Contributions - Open-LLM-VTuber, BasedHardware/omi, roguelike AI projects
📊 Impact by Numbers
- 9+ years architecting enterprise systems
- 60%+ average latency optimization across projects
- 99.9% platform uptime maintained
- 25%+ user engagement improvements
- 1,000+ biometric data participants managed
- 10,000+ concurrent users supported
🔗 Let's Connect
- 📧 Email: nikita@diannt.net
- 💼 LinkedIn: linkedin.com/in/nikita-annt
- 🐙 GitHub: github.com/diannt
Always exploring the intersection of AI research, human-centered design, and scalable engineering.