Projects as Principle Engineer, Software Development (Apps)Current Projects: SV Calibration Data project, which leverages machine learning to continuously improve model performance while detecting anomalies. Key highlights of the project include: Initial Proof of Concept: Implemented supervised learning using a 1D Convolutional Neural Network (CNN) to establish the foundation. Current Model Overview: Developed and maintained a detailed overview of the latest model version in PoC, MVP and production. Phase 1: Designed a Transfer Learning Pipeline to enable continuous retraining and anomaly detection, adapting the model to evolving data. Phase 2: Built a hybrid Semi-Supervised/Transfer Learning Pipeline to further enhance model performance and anomaly handling.Older projects: Led the zero-to-pilot implementation of an on-premises hybrid cloud solution for testing APIs before moving to Google Kubernetes Engine (GKE). This served as an R&D testing cluster for data engineering pipelines, Infrastructure as Code (Linux), CI/CD, and ML DevOps in a Kubernetes environment.Developed the DAO Horizon SIEVE, an automated paper screening app for the Horizon platform used on the manufacturing HDD floor in Thailand. This project utilized Kafka for real-time data streaming and automated user queries.Tech Lead and Project Leader for GalaXY – Guided Data Discovery Platform Development, scaling MVP1 to support over 100 users, mentoring team members, and optimizing the web application layer to achieve a 10x speed improvement.

Project Lead: GalaXY – Guided Data Discovery Platform Development – MVP1 o Tech Lead Engineer: Main roles included system design, web application coding to help build a scalable Dockerized microservice framework. This internally-built custom-web-application allows for UI (React) and API (curl) access to our internal big data platform. Typical Use Case: Large raw data wrangling and extraction (5x faster vs python-Redshift direct data extraction), and bulk data extraction for machine/deep learning workloads.o Experience Gained: web and app frameworks built from scratch (Flask, React, and Token LDAP login). Limited API design experience for this project Project Owner: Near- Real Time Kafka, Spark-Streaming based Distributed Pipeline and Dashboard Dev.o Tech Lead: Main roles included: ETL analytics system design, noSQL database schema design, and UI layout creation. This project was my innovation, project taken from zero to pilot; presented at internal conference . This platform-agnostic compute solution was built on-top of the Hadoop ecosystem; Used in qualification production testing, provided a near-real-time standardized data-visibility tool for our engineers. (Submitted for patent: Trade Secret accepted)o Experience gained: Kafka, Spark, MongoDB, front-end callback functionsDeveloped Integration Stand-Alone App. - Processing of Structured and Unstructured Data o Data Analytics and Software Development Experience: Python-Tinker based UI which enabled flexible summary file generation. Filled a gap for testing-engineers’ day-to-day-productivity: project was my innovation. It utilized parallel processing methods to summarizing 100's of GB of raw files, while given the user flexibility. It was deployed to the data center reliability team, and later adopted as part of the day-to-day reliability production process flow.

o C-code Optimization: Developed a parallel-bit-testing algorithm in C-code for the in-house SanDisk (ReRAM) Test Vehicle, code was accepted for production-usage and reduced testing time by 20%o Statistical Testing / Circuit Simulations: CMOS Evaluation Study (CMOS TEG array + ReRAM cell). Developed the experimental design, characterized the voltage drop across each component of the CMOS TEG array + ReRAM cell with KVL calculations (H-Spice simulations); confirmed with measured lab tested data; presented data to internal customer: resulted in pin-pointing the hot spot (point of high current leakage in the overall circuit design).

Pitched the first initial idea to upstate NY and NYC investors. Won first place in Albany Business plan competition.

Data Analytics, and Visualization (Volatile memory (SRAM, I/O Periphery FETS)) Technical Development Engineer, Staff - Developed binary search algorithm for transistor voltage-threshold calculation: Revived a thought-to-be-broken automatic wafer-test-machine; increased reliability testing productivity 100x (previous testing done manually before this innovation). - Developed MOSFET I/O periphery SPICE models: Gained experience with building complex circuit models.

Device Engr. NCG Researcher - Resistive RAM materials research (2 Patents accepted)

Graduated in summer 2013.Dissertation title: Controlling the variability of hafnium oxide based non volatile resistive memory via the modeling of the switching process

Electrical Characterization of ReRAM materials and crossbar,1T1R and array strucutres

Memory Technologist 1T1R fabricationReRAM Reliability Materials/Electrical characterization of ReRAM XbarReRAM (Modeling Forming and Switching Phenomena via comsol and matlab)

www.bess-tech.com Acting-CEO (2010-11)Co-founderEnergy Technologist

Applied Physics

I was a field engineer, responsible for running and troubleshooting down-hole measurement DSP based equipment