Spike, Rust, Python, large-scale ML infrastructure, Renode, embedded RTOS environments, fuzzing, Static Analysis, formal verification, qemu, Statistics, Experimental Design, Verilator, observability, differential testing, evaluation methodologies, LLMs, SWE-bench, compilers, Emulators, HumanEval, lmevaluation-harness, Simulators, Embedded Systems, distributed infrastructure, evaluation frameworks, EvalPlus, hardware-in-the-loop systems, BigCode

Deep Learning, Pytorch, Machine Learning, RLHF, DPO, Supervised Fine Tuning, SFT, reinforcement learning, Reward Modelling, Model Alignment, ppo, GRPO, Preference Optimization, LLM Post Training, TRL, Reasoning Models, Large Language Models, Llm, Ai

Typescript, Javascript, Docker, Postgres, Python, AWS, Node.js, Redis, Gcp, FastAPI, Azure, Kubernetes, Prompt engineering, Agent orchestration, Pinecone, LangGraph, NLP pipelines, OpenAI APIs, Function calling, RAG pipelines, Multi-turn dialogue systems, LangChain, Anthropic Gemini, LLMs, Vector databases, Conversational memory architectures, FAISS, Embedding models, Weaviate, LlamaIndex

data preparation , Pytorch, Cuda, Artificial Intelligence, Deep Learning, Python, Machine Learning, Post-training, LLMs, Evaluation for ML models, Pre-training, Large-scale ML systems