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Work Background
ProvectusMachine Learning Specialist
Oct. 2024Armenia
EPAM SystemsApplied Researcher
Apr. 2024 - Oct. 2024Armenia● Personalized chatbot creation using OpenAI system, Quadrant and AWS.
● RAG enhancement and evaluation system creation using LLM as a Judge technique with 97% percent accuracy.
● Fine-tuning of LLama, Mistral, Gemma, GPT and BERT for Q&A tasks for clients (confidential), using transformers, Unsloth and
pytorch with achieving 90% accuracy on average.
● Human Language to ElasticSearch translation, 95% accuracy on test dataset.
● Created address deduplication system, which was given dozens of unstructured addresses it found duplicates between them
with 90% accuracy.
NVIDIAApplied Research Intern, Conversational AI
Dec. 2023 - Mar. 2024Armenia● Defined and enhanced LLM's robustness for the project from the statistical perspective and using augmentation techniques in Computer Vision transfer to the NLP domain achieved 10% enhancement of robustness of GPT 2B architecture. Modified and created token and embedding level augmentations, 5% and 10% accuracy enhancement from each augmentation respectively. Implemented all theoretical foundations with Nvidia’s NeMo and Megatron frameworks.
EPIC - Entrepreneurship and Product Innovation CenterCo-Founder
Sep. 2023 - Feb. 2024Yerevan, Armenia● With an astonishing team created MedGPT startup, an AI-based healthcare platform that bridges patients to medical professionals with relevant reviews, expert articles, and cost estimates
● To develop the startup, conducted thorough market research, customer interviews, and pitching among various auditors during the process. In total we had 24+ customer interviews, and analyzed more than 50 companies in 3 months.
● Checked the validity of the idea and have done a pivot of an idea.
● Graduated with final pitch with a high level certificate and our idea stage startup has been validated. Created an MVP for our
product using OpenAI, Langchain and AWS.
iVerse.aiApplied Researcher
Aug. 2023 - Aug. 2024Yerevan, Armenia● Closely worked with Stable Diffusion and Stable Diffusion XL models, and variations like Realistic Vision Family. On them I have tried consistent realistic character generation with InstantID, LoRA, Textual inversion, Dreambooth and Controlnet, 85% of generated pictures are similar to ground truth images and are realistic based on people's opinion.
● Enhancement of Virtual try on system using IDM-VTON and Semantic Segmentation making Virtual Model fit more than 300 pieces of cloths.
● Consistent clothing style generation with LoRA using diffusers and Peft. Closely worked with face detection with IP-adapters, GANs and AutoEncoders. Deep works helped us to achieve 85% similarity of generated clothes and training data clothes.
Denovo SciencesMachine Learning Specialist
Mar. 2023 - Dec. 2023Yerevan, Yerevan, Armenia● Responsible for the main product's Graph Neural Network exploration, creation, testing and validation. Researched and implemented more than 100 graph neural networks, having the majority of them used as a part of the main model’s base network.
● Proved various math theorems which theoretically and practically solved our problems, enhanced the MSE of main Product GNN by 10% in 2 months.
PicsartStaff Engineer and License Manager
May. 2021 - May. 2023Yerevan, Armenia● Responsible for writing Python based automations for all of the applications which needed to be connected with our identity provider platform, G-Suite. Used Docker for containerization and Gitlab for CI/CD. Implemented more than 40 internal automation infrastructure applications that connect internal and external SaaS products which helped the company to save money.
● Communicated and cooperated with more than 70 third party services and passed smooth security and legal checks with the assistance of corresponding teams.Docker and General Software Engineering.
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