I am a Senior Applied Scientist on the AWS Agentic AI Science team, building large-scale generative AI and large language model (LLM) services for AWS Transform. My work focuses on code transformation, modernization, and software migration to improve developer experience on AWS. This spans programming languages, databases, and platforms, including Java 8/11 to Java 17 migration, Microsoft SQL Server to PostgreSQL conversion, and Windows/.NET application modernization. I also lead and mentor a team of scientists, working with leadership to shape our product roadmap and define priorities for future scientific work.

A central part of my work is validation and verification of LLM-generated and transformed code. I develop methods to evaluate functional equivalence, detect behavioral differences, and assess correctness across application and database migrations. This includes executable evaluation, automated testing, and guardrails that help agents preserve intended behavior and produce dependable results. My experience also includes post-training Amazon LLMs using supervised fine-tuning (SFT) and reinforcement learning (RL) to improve code generation and transformation. I work on agent architectures, orchestration, and tools that enable these models to understand complex codebases, plan and execute transformations, and support reliable migrations in real-world applications.

My broader technical background spans machine learning, deep learning, signal processing, computer vision, time-series modeling, and radar/WiFi sensing. I have developed AI/ML solutions for healthcare, IoT localization, wireless sensing, and code generation. These experiences continue to shape how I approach complex problems and work across disciplines.

Before joining Amazon, I spent approximately six years working in multicultural environments across Asia, Europe, and North America. This experience continues to shape how I collaborate with diverse teams and contribute to 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

• [09/29/2026] Our paper on Functionally Equivalent or Not? Graph-Grounded Differential Surrogate Execution for Code Equivalence is accepted at NeurIPS 2026. Click here to read.
• [09/29/2026] Our second paper on Source-Grounded Executable Evaluation of Software-Migration Agents is accepted at NeurIPS 2026.
• [09/09/2026] I’ll be serving on the Program Committee for ReCode 2027, co-located with ICSE 2027.
• [08/14/2026] Our paper on Detecting Database Migration Non-equivalence through LLM-Assisted Mutation-Score-Guided Testing is accepted at 2nd ACM SIGPLAN International Workshop on Language Models and Programming Languages, 2026. Click here to read.
• [06/29/2026] Authored an AWS blog on Generating Referentially Consistent Synthetic Test Data for PostgreSQL in .NET Application Modernization work. Click here for more details.
• [06/04/2026] Authored an AWS Blog on SQL Server to PostgreSQL Schema Validation work. Click here for more details.
• [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.