Building production-grade solutions in Natural Language Processing and Computer Vision, with a focus on LLMs and enterprise applications
CURRENTLY WORKING ON
Developing an end-to-end MLOps platform for enterprise LLM applications
Technical Expertise
11 years of experience in ML/AI technologies and production deployments
Core Technologies
Python, SQL, ReactJS, PyTorch, Scikit-learn, HuggingFace Transformers
Computer Vision
Vision Transformers (Donut, LayoutLM, DiT), CNNs, OpenCV
Natural Language Processing
BERT, RoBERTa, BART, GPT-3.5/4, LangChain, Semantic Search
MLOps & Cloud
Dagster, MLFlow, FastAPI, Docker, Kubernetes, Azure, GCP
Databases
PostgreSQL, MySQL, SQL Server, Qdrant, Chroma, Weaviate
Business Intelligence
Power BI, Tableau, Qlik Sense, Excel
Featured Projects
Key achievements and impactful solutions
Planogram Optimization
Leading the development of a solution using Genetic Algorithms to optimize product placement and assortment in retail stores, maximizing sales through optimal product mix and positioning.
Intelligent Document Processing
Developed an automated multi-page claim classification solution achieving 95% page-level and 99% claim-level accuracy using vision and language models.
Generative AI QA System
Implemented a GPT-powered solution to automate QA process for customer chat interactions, including PII redaction and intelligent classification.
News Monitoring System
Architected a solution for predicting external factors' impact on operational metrics using web scraping, Seq2Seq models, and automated workflows.
Get in Touch
Let's discuss how we can work together on your next ML/AI project