Key Achievements:

• Conducting async RL environment research with code execution sandboxing for safe agent training
• Sole-led enterprise-wide technical sessions distilling cutting-edge research papers (DeepSeek MLA, Muon optimizer, etc.) to 500+ attendees
• Contributing to patents in the RL, Quantum Computing, and Agentic AI domains
• Architected enterprise multi-agent AI framework using LangGraph and MCP
• Established company-wide standards for agentic AI: security protocols, evaluation metrics, and tool-use patterns

Technologies:

Key Achievements:

• Applied DPO (Direct Preference Optimization) for German-language podcast episode description generation
• Generated synthetic training data and used PPO for fine-tuning Mistral 7B and Mixtral 8x7B models
• Optimized inference pipelines with INT4-FP8 quantization techniques across heterogeneous GPU hardware
• Implemented spherical interpolation model merging for improved multilingual performance

Technologies:

Key Achievements:

• Implemented reasoning and chain-of-thought tool calling architecture for improved response quality
• Built LoRA dynamic adapter selection with orchestrator agent for high EQ responses across conversation contexts
• Autonomous knowledge graph creation for persistent user understanding
• Employed task queues with Celery and graph-based agentic systems for parallel, real-time conversational processing

Technologies:

Key Achievements:

• Built production conversational AI using BERT models, achieving 90% accuracy across 1M+ monthly interactions
• Implemented comprehensive APM monitoring across 100+ microservices using Splunk and OpenTelemetry

Technologies:

Key Achievements:

• Enhanced SVM model accuracy from 79% to 94% through kernel optimization for sentiment classification and cross-border threat detection
• Applied NLP and deep learning techniques to aggregate and process news/social media data for US-Mexico-Canada supply chain assessment

Technologies: