AI-Native Link Adaptation
Production-grade AI system for link adaptation in 5G RAN — a 6-year journey from early research to commercial product deployed with global Tier-1 operators.
ML Engineer + Researcher
I turn RL research into production systems that run on baseband hardware under sub-millisecond budgets — from multi-agent platforms optimizing live 5G networks to agentic AI that closes the loop without human intervention.
01agent = train(env, policy);02action = agent.decide(state);03reward = env.step(action);04deploy(agent, prod);Production ML systems I've designed, built, and shipped under real-world constraints.
Production-grade AI system for link adaptation in 5G RAN — a 6-year journey from early research to commercial product deployed with global Tier-1 operators.
Agentic AI system for autonomous 5G network operations enabling real-time closed-loop decision-making.
Enabled real-time autonomous decision-making in production 5G networks
High-throughput distributed reinforcement learning system spanning GPU learners, 100+ CPU actors, and multi-node coordination.
Reduced distributed RL training time by 20x
Peer-reviewed publications in machine learning, control, and network optimization.
Generalization methods for RL agents operating in radio access networks to enable zero-shot transfer across unseen network configurations.
Design principles for building generalizable and scalable AI solutions for radio access network optimization.
Fundamental trade-offs between communication cost and control performance in stochastic event-triggered systems.
Deep RL algorithm jointly optimizing communication scheduling and control performance in networked systems.
Technical deep-dives on distributed RL, agentic AI, and systems engineering.
I'm a Machine Learning Engineer with 10+ years of experience translating ambiguous research problems into production-grade AI systems. I specialize in reinforcement learning, agentic AI, and distributed training architectures.
My work spans designing multi-agent RL platforms for 5G network optimization, leading agentic AI systems that integrate LLM reasoning with Bayesian optimization, and building PyTorch-native libraries adopted across engineering organizations.
Current
Master Researcher in Machine Learning
Ericsson AB · Dec 2023 – Present
Open to research collaborations, consulting, and engineering challenges where ML meets production constraints.