Boris Martirosyan

Applied Researcher with excelent experiance in NLP and Computer Vision

About

I specialize in GenAI, LLM and NLP tasks, where my responsibility is to enhance LLM's performance with various techniques. My working main architectures are LLama, GPT and BERT. <br> I have both academic and industrial experience in Mathematics, specifically in areas such as Probability, Linear Algebra, Calculus, and Real Analysis. This strong mathematical foundation allows me to effectively tackle complex problems in my field. When it comes to engineering, I possess excellent Python skills and have worked extensively with various tools and libraries such as Google APIs, Requests, Selenium, Flask, and PyTorch. These skills enable me to develop efficient and high-quality solutions. I am also well-versed in CI/CD practices using GitLab, ensuring smooth and streamlined software development processes. In addition to my expertise in Python, I am proficient in programming with Java, providing comprehensive solutions to meet diverse business needs

Education

American University of Armenia

Bachelor, Computer Science / May, 2025 (anticipated)

Yerevan

high school, Mathematics and Physics / May, 2020

Yerevan

Experience

Epam Systems

Applied Researcher / April, 2024 — Present

I am responsible for research, creation and development of LLM's RAG evaluation pipeline. Research areas are LoRA, LLMs and novel SFT techniques.

Nvidia

Conversational AI Intern / December, 2023 — April, 2024

Here we were working on LLM’s robustness enhancement with novel data augmentation techniques. Closely worked with Nvidia’s Nemo and Megatron frameworks.

Denovo Sciences

Machine Learning scientist / March, 2023 — December, 2023

Responsible for inventing, modifing and reaserching graph neural networks for regression task in drug discovery. The work contained the exploration both 3D and 2D drug structures (represented as graphs), their feature engineering and applying appropriate GNNs for my task (cannot mention the task name becasue of NDA). Closely worked with equivariant 3D GNNs and 2D GNNs. Also, explored many papers for Self-Supervised Learning and Diffusion Models in graph domain.

Picsart

Staff Engineer and License Manager / May, 2021 — June, 2023

I specilized in internal automations based on python, which help in various administrative tasks, such as managing third party services in Picsart, administrating their process and automating manual tasks. During the job I Managed more than 70 SaaS applications, closely worked with Gitlab, GCP, G-Suite, Docker and General Software Engineering.

Join Boris on NotedSource!

Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.