I engineer minds for machines—systems that learn from data, reason through complexity, perceive the world in pixels and tokens, and act with precision. From foundation models to production inference, I build AI that delivers.
Every intelligent system I build rests on these foundational principles—forged in the crucible of classical AI and tempered with modern breakthroughs.
I architect neural networks that extract patterns from noise—from backprop basics to gradient-boosted ensembles and transformer attention. Every model learns, adapts, and scales.
Symbolic logic meets neural inference. I build systems that plan, search, and optimize—constraint solvers, graph reasoners, and chain-of-thought prompting for transparent decisions.
Computer vision and NLP are my bread and butter. I've trained models to see, hear, and understand—object detection, segmentation, embeddings, and multimodal fusion at scale.
Intelligence without action is theory. I deploy RL agents, control policies, and agentic workflows that take real-world actions—safe, measurable, and optimized for outcomes.
The latest tools, frameworks, and methodologies I deploy to build state-of-the-art AI systems. From transformers to diffusion, I stay at the bleeding edge.
Self-attention mechanisms for sequence modeling—GPT, BERT, T5 architectures
Iterative denoising for generative tasks—Stable Diffusion, DALL-E, image synthesis
Reinforcement Learning from Human Feedback—alignment, reward modeling, PPO tuning
Parameter-efficient fine-tuning—adapt foundation models with minimal compute
Retrieval-Augmented Generation—vector DBs, embeddings, grounded generation
CLIP, Flamingo, GPT-4V—vision-language models that see and understand
LLMs that plan, call APIs, and orchestrate actions—ReAct, function calling
INT8/4-bit inference, pruning, distillation—edge deployment and cost optimization
Real systems I've architected and deployed—from research prototypes to production-grade AI that processes millions of requests daily. Each one pushed boundaries and delivered measurable impact.
Fine-tuned Llama 3 70B with LoRA adapters, RAG pipeline over 10M+ docs, and Constitutional AI guardrails. Built custom vector DB indexing and deployed on vLLM for <200ms p95 latency at scale.
YOLOv8 + SAM segmentation pipeline running on NVIDIA TensorRT. Custom training on 500k+ annotated images with online hard example mining. Handles 4K video streams with <50ms inference time.
Stable Diffusion XL with ControlNet, custom LoRA training, and multi-stage refinement. Built efficient inference server with 8-bit quantization and batching—powers 10k+ daily generations.
PPO-based agent trained on 5 years of market data with RLHF from expert traders. Multi-asset portfolio optimization with risk constraints. Deployed live with continuous learning and A/B testing.
From research notebooks to production infrastructure—I command the entire AI pipeline with battle-tested tools and frameworks.
I don't just train models—I architect end-to-end AI systems that solve real problems at scale. From ideation to deployment, I bring clarity, rigor, and creativity to every challenge. Whether you need cutting-edge research, production ML pipelines, or strategic AI leadership, I deliver results that move the needle.