I am a Senior Applied Scientist on the Amazon Agentic AI Science team, where I work at the forefront of Generative AI and Large Language Model development for code transformation. My current focus centers on designing LLM agent architectures—from reinforcement learning–based post-training methods that enhance code transformation capabilities, to building sophisticated orchestrators and tools that enable these agents to operate effectively. A critical part of my work also involves developing robust guardrails that ensure these powerful systems behave responsibly and reliably in real-world applications.

What I bring to this role is a technical foundation that spans an unusually wide range of domains. Over the years, I have built deep expertise in machine learning, deep learning, advanced signal processing, computer vision, time-series modeling, and radar/WiFi sensing. This breadth has allowed me to design and deploy AI/ML solutions across vastly different industries—from healthcare applications and IoT localization systems to wireless sensing platforms and, now, intelligent code generation. Each of these experiences has shaped how I approach complex problems, giving me the ability to draw connections across disciplines and adapt quickly to new technical challenges.

Beyond the technical dimension, I also bring a global perspective shaped by nearly six years of working in multicultural, multi-ethnic environments across Asia, Europe, and North America. This international exposure has been invaluable in teaching me how to collaborate effectively with diverse teams and navigate different working cultures—skills that complement my technical work and enrich how I contribute to large-scale, cross-functional projects

Positions Held

• Senior Applied Scientist, Amazon, July 2025- Present
• Applied Scientist II, Amazon, Jan. 2021- July 2025
• Applied Scientist Intern, Amazon, May 2020- Aug. 2020
• Software Intern, Cadence Design Systems, May 2019- Aug. 2019
• Project Engineer, Nokia Networks, Feb. 2010- Feb. 2014

Education

• Ph.D., Electrical and Computer Engineering, Oklahoma State University, USA
• M.S., Electronics and Computer Engineering, Istanbul Şehir University, Turkey
• B.Tech., Electronics and Communication Engineering, NIT Srinagar, India

News/Announcements

• [03/24/2026] Patent issued from USPTO on, Respiration Waveform Generation for Sleep Stage Estimation in a Contactless Manner using mmWave Radar. Click here for more details.
• [07/14/2025] Promoted to Senior Applied Scientist, Amazon Agentic AI.
• [07/08/2025] Patent issued from USPTO on, “System for touch interaction with non-touch screen display”. Click here for more details.
• [2024] Our project with Agentic GenAI system for Java Code Migration is highlighted in Forbes.
• [2024] Our paper on “Sub-Resolution mmWave FMCW Radar-based Touch Localization using Deep Learning” got accepted in IEEE-VTC Fall-2024. More details here.
• [2024] I will be serving as TPC member for IEEE Globecom- AI/ML Track.
• [2024] I will be serving as TPC member for IEEE Wireless Communications and Networking Conference.
• [04/02/2024] Moved to Amazon NGDE (Next Gen DevX) Science Team as Applied Scientist II.
• [2023] 5 patents filed with USPTO
• [2023] Third patent issued from USPTO on “Channel state information (CSI) sensing in the 2.4 GHz band”. Click here for more details.
• [2023] Second patent issued from USPTO on “Channel state information (CSI) sensing in the 2.4 GHz band “. Click here for more details.
• [2023] I will be serving as TPC member for IEEE Globecom- ML track in communications.
• Patent issued from USPTO on “Dynamic memory reallocation and offload channel state information (CSI) processing for device power savings”. Click here for more details.
• [2023] Our paper on “Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing” got accepted at “IEEE CCNC, 2023”. Click here to read.
• [2023] I will be serving as a TPC member for IEEE ICC Conference that will be held in Rome, Italy.
• [2022] Our work on, “Propeller Effects on mmWave UAV Channels: A Statistical and Empirical Modeling Study” is now published in “IEEE BlackSeaCom, 2022”. Click here to read.
• [2022] Amazon Research Award call is open for fall 2022 proposals. The themes for fall 2022 are, AWS AI- advancing the frontiers of machine learning. Automated reasoning- systems assurance by mathematical proof. Prime Video- pushing the boundaries of science and technology and Sustainability
• [2022] I will be serving as a TPC member for IEEE Globecom Conference- ML in Communications and UAV communications tack.