I'm a software engineer passionate about building intelligent systems at the intersection of AI and cloud infrastructure. Currently at Amazon Web Services, I'm a founding engineer on the Amazon Quick Suite generative AI team, where I helped architect the entire conversational AI infrastructure from scratch.

Originally from Kazakhstan, I moved to the US for my education and have been building at the intersection of ML research and production systems since my freshman year. I speak English, Russian, and Kazakh. Beyond engineering, I'm a 2nd-degree black belt with 33 competitions under my belt — martial arts taught me the discipline and resilience I bring to every technical challenge.

SDE Intern — Edge ML Services

Amazon Web Services

May 2023 — August 2023

Designed automated CloudFormation stacks updater in CI/CD pipeline, making team deployments 15x faster. Shipped production code 3x faster than expected. Coordinated across 3 teams to integrate the service.

AWS CDK Step Functions Lambda CloudWatch

ML Technical Associate

GrainBound, LLC

February 2022 — May 2023

Developed and applied ML techniques for a large international chemicals manufacturer. Improved manufacturing efficiency by 40% by providing predictive insights on 50K+ row datasets.

Python TensorFlow Scikit-learn Pandas

ML Engineer — Capstone for Merck & Co.

Machine-Assisted Contextualization

January 2023 — December 2023

Led ML pipeline for pharmaceutical label classification achieving $500K annual cost savings. Improved accuracy from 47% to 92% via feature engineering (10x efficiency gain), then to 96% with semi-supervised GAN-BERT. Deployed on AWS with FastAPI.

Python PyTorch Scikit-learn FastAPI AWS

Co-founder & Technical Lead

SteppeTech Consulting

January 2024 — March 2024

Founded AI consulting firm and architected computer vision-powered trademark search platform for IP-Assist Patent Office using CLIP embeddings and AWS Elasticsearch. Reduced search latency by 80% and achieved 65% cost reduction across 100K+ trademark images.

Python AWS React CLIP Elasticsearch

Co-founder

Archaic AI

2026 — Present

Building Archaic — a developer tool that helps engineers see their code as a system. Turning complex codebases into clear, navigable system views.

AI Developer Tools

tryarchaic.com →

Undergraduate DL Researcher · June 2020 – Dec 2023

Multifunctional Materials & Machine Learning Group

Accelerated extraction of mechanical properties of quantum materials by 3.5x using deep convolutional autoencoders. Reduced model size by 3,000x via quantization-aware training. Preprocessed 1.3M data samples. Prepared FPGA deployment achieving 40μs/fit latency.

PI: Dr. Joshua C. Agar · Lehigh University

PyTorch hls4ml AutoQKeras FPGA

Research Assistant · Aug 2022 – Mar 2023

Brain Imaging & Computation Lab

Developed Graph Attention Neural Networks for depression severity prediction, achieving R² = 0.91 between predicted and true values of Beck Depression Inventory (BDI) and Spielberger Trait Anxiety Inventory (TAI).

PI: Dr. Yu Zhang · Lehigh University

Graph Neural Networks PyTorch Neuroimaging

In Progress

The University of Texas at Austin

MS in Computer Science

Machine Learning Specialization · GPA: 4.0/4.0

Part-time while working at AWS · Expected Dec 2027

Deep Learning, Advances in Deep Learning, Reinforcement Learning, Parallel Systems

Completed

Lehigh University

BS in Computer Science & Business

Magna Cum Laude · GPA: 3.78/4.0 · Minor: Cognitive Science

VP of CS & Business Association · Secretary, Central Asian Students Association

Languages

Python Java TypeScript C/C++ SQL HTML/CSS

ML & Data Science

PyTorch TensorFlow NumPy SciPy Pandas Scikit-learn Matplotlib

Cloud & Infrastructure

AWS (CDK, Lambda, Fargate, DynamoDB, Kinesis, S3) Docker CI/CD React Git Google Cloud

AI & Systems

Multi-Agent Systems A2A Protocol Bedrock Reinforcement Learning Computer Vision Deep Learning