Artyom Sirekanyan

Lead ML Engineer

Yerevan, Yerevan, Armenia8 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in scalable AI/ML systems architecture.
Proven leadership in cross-functional AI strategy.
Strong foundation in theoretical computer science.

Stackforce AI infers this person is a SaaS-focused AI/ML architect with strong leadership in scalable systems.

Contact

Skills

Core Skills

Ai/ml Systems ArchitectureMlops & Ai InfrastructureMachine LearningAi System DesignAlgorithmsNetworkingComputer ArchitectureSoftware SolutionsTechnical LeadershipC++OopGame DevelopmentUnity

Other Skills

Generative AI & LLM EngineeringTechnical Leadership & Architecture StrategyDistributed Systems & Cloud PlatformsDeep LearningSystems DesignScalable SystemsPython (Programming Language)Cloud ComputingData EngineeringLarge Language Models (LLM)Claude SkillsCursor AIC (Programming Language)Assembly LanguageComputer Hardware Assembly

About

As an AI-focused Sr Staff Engineer at Synopsys Inc., I lead the design and deployment of scalable AI/ML systems, with a focus on distributed systems architecture, advanced model development, and MLOps pipelines. Collaborating with cross-functional teams, I ensure the seamless integration of business requirements into AI-driven solutions while driving technical strategy and engineering best practices across the organization. I hold a Master’s degree in Discrete Mathematics and Theoretical Informatics from Yerevan State University, bringing a strong academic foundation to my work. My core competencies include AI system design, scalable systems, distributed architectures, and systems design, which I leverage to mentor engineers and contribute to innovative advancements in AI and system architecture.

Experience

8 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

1 yr 3 mos

Current Experience

Synopsys inc

2 roles

AI, Sr Staff Engineer

Promoted

May 2026 – Present · 1 mo

Leading the technical vision, architecture, and execution of large-scale AI/ML platforms and production-grade intelligent systems across multiple business domains.
Driving enterprise-wide AI strategy, defining long-term roadmaps for scalable LLM, NLP, and advanced machine learning solutions.
Architecting highly scalable, distributed AI infrastructure optimized for high-performance model training, inference, reliability, and cost efficiency.
Spearheading the design and deployment of production-ready GenAI and LLM-powered systems, including retrieval-augmented generation (RAG), agentic workflows, and multimodal AI applications.
Establishing engineering standards, MLOps best practices, governance frameworks, and AI system reliability patterns across teams.
Leading critical technical decisions, system reviews, and complex architectural initiatives involving distributed systems, cloud infrastructure, and AI platforms.
Driving innovation through applied research, evaluating emerging AI techniques and translating cutting-edge advancements into scalable, business-impacting solutions.

AI/ML Systems ArchitectureGenerative AI & LLM EngineeringMLOps & AI InfrastructureTechnical Leadership & Architecture StrategyDistributed Systems & Cloud Platforms

AI, Staff Engineer

Mar 2025 – May 2026 · 1 yr 2 mos

Led the end-to-end design and deployment of scalable AI/ML systems, from data ingestion to production environments.
Architected distributed systems optimized for machine learning workloads, improving scalability, reliability, and performance.
Developed and optimized advanced models (NLP, LLMs) for real-world applications.
Established and maintained robust MLOps pipelines, enabling continuous integration, deployment, and monitoring of models.
Collaborated with cross-functional teams to translate business requirements into AI-driven solutions.
Drove technical strategy and set best practices for AI system design and software engineering.
Mentored engineers and contributed to team growth through technical guidance and knowledge sharing.
Improved model accuracy, efficiency, and latency through experimentation and optimization.
Integrated AI models into production systems via APIs and scalable infrastructure.
Applied state-of-the-art research to build innovative, production-ready AI solutions.

Machine LearningDeep LearningAI System DesignSystems DesignScalable SystemsPython (Programming Language)+6

Grovf

R&D Engineer: Sr II

Sep 2024 – Mar 2025 · 6 mos · Yerevan, Armenia · On-site

Spearheaded research initiatives to address scalability challenges in large-scale network systems, contributing innovative methodologies that advanced the field of network optimization
Architected end-to-end network solutions by designing modular, scalable system components.
Applied advanced problem-solving strategies to dissect complex network issues.
Employed a robust combination of graph theory, high-performance C++, and Python to develop and
refine sophisticated network models and simulations.
Optimized C++ simulation engines and algorithmic logic for memory and CPU efficiency, enabling real
time analysis of networks
Utilized ns-3 to rigorously analyze and enhance network behavior under both static and dynamic
conditions
Designed and implemented architectural frameworks for simulation and deployment of adaptable, fault
tolerant network topologies.
Integrated deep neural network (DNN) models to predict and optimize network traffic patterns.
Developed custom deep learning pipelines using TensorFlow and PyTorch for real-time diagnostics,
adaptive routing, and failure prediction
Delivered scalable and optimized solutions by aligning software architecture, algorithmic performance,
and infrastructure design with strategic business objectives

AlgorithmsC (Programming Language)C++Assembly LanguageComputer ArchitectureComputer Hardware Assembly+19

Russian - armenian university

Lecturer

Feb 2024 – Dec 2024 · 10 mos · Aremenia

Facilitated theoretical computer science courses, emphasizing algorithm design, analysis, and complexity
theory.
Developed course materials and assessments to support student learning.
Provided mentorship to students on academic and career matters.
Participated actively in departmental and community service activities.

Critical ThinkingAlgorithmsComputer ArchitectureC++Data Structures

Vms software inc.

2 roles

R&D Manager at VSI a Teracloud Company

Promoted

May 2023 – Apr 2024 · 11 mos

Led a cross-functional R&D team in achieving strategic objectives aligned with broader business goals,
translating organizational vision into actionable technical roadmaps.
Managed comprehensive research activities including experimental design, data modeling, and
validation, ensuring high-quality and data-driven decision-making across all phases of development
Directed sprint planning, backlog grooming, and milestone tracking to keep initiatives on time and
aligned with strategic priorities
Mentored and developed a high-performing R&D team, fostering a culture of innovation, ownership, and continuous improvement
Championed Agile methodologies (Scrum, Kanban) to drive iterative development, enhance team collaboration, and increase velocity.
Defined and tracked key performance indicators (KPIs) to measure research impact, operational
efficiency, and product-market fit
Introduced internal process improvements and documentation standards

Software SolutionsCritical ThinkingComputer ArchitectureQuality AssuranceSoftware ImplementationCreative Problem Solving+2

Software Engineer II

Oct 2022 – May 2023 · 7 mos

Led the research, design, and implementation of optimized algorithms for a C++ compiler leveraging
LLVM technology on OpenVMS.
Created custom intrinsic functions for both LLVM-IR and compiled IR from scratch.
Designed and implemented the control flow for a data-flow language, ensuring seamless integration.
Engineered a sophisticated search engine tailored for a specific file hierarchy as a language extension of
C++.
Crafted comprehensive technical documentation to ensure clarity and accessibility.
Analyzed software, firmware, and hardware to understand their functioning.
Documented findings and recommendations in detailed reports for stakeholders.
Conducted static analysis of code, binaries, and firmware to identify structure and potential
vulnerabilities.
Employed dynamic analysis techniques to observe software behavior in controlled environments.
Monitored system behavior and interactions using debuggers, emulators, and virtual machines.

Critical ThinkingCreative Problem SolvingC++C (Programming Language)Assembly LanguageLinux+8

Siemens digital industries software

Software Engineer

Sep 2021 – Sep 2022 · 1 yr · Yerevan

Researched, designed, and implemented efficient algorithms for EDA tools, focusing on complex ICs like
Tanner S-Edit.
Produced robust and efficient code according to requirements.
Collaborated with the team on Schematic Layout Optimization.
Troubleshot, debugged, maintained, and enhanced existing software.
Authored comprehensive technical documentation.

OOpCritical ThinkingAssembly LanguageC (Programming Language)AlgorithmsComputer Hardware Assembly+10

Improvis team

Game Developer

Sep 2017 – May 2021 · 3 yrs 8 mos · Armenia

Designed and developed game mechanics and implemented realistic physics to simulate car motion in
race games across various platforms using Unity3D.
Built libraries and reusable components within Unity3D to streamline development processes.
Utilized C# for scripting and HLSL for crafting shaders, leveraging Unity3D's built-in tools and
technologies.

C#UnityAlgorithmsObject-Oriented Programming (OOP)C++Java+6