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Glaston velvarts

@glastonvelvarts

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AI/ML developer and full-stack engineer specializing in scalable data-driven solutions.

India

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What I'm looking for

I seek roles applying ML and data engineering at scale, with end-to-end ownership, collaborative teams, and opportunities to deploy production systems.

I am an AI/ML developer and full-stack engineer focused on building scalable, production-ready data solutions for enterprise clients. I combine strong engineering fundamentals in Python, web technologies, and cloud tooling with applied machine learning to deliver measurable impact.

At Olibr I processed 86+ million profiles with PySpark to reduce processing time from 90 days to 8 days, implemented semantic search with Elasticsearch, and developed AI interview and proctoring systems using LangChain and computer vision. My internships produced an MRI brain tumor detector with 99.5% accuracy and production-ready scraping, OCR, and analytics tooling.

I prioritize efficient, cost-conscious architectures—using Redis caching, AWS S3, Docker, and database optimizations—and enjoy end-to-end ownership from research and prototyping to deployment and monitoring. I seek roles where I can continue applying ML, data engineering, and full-stack skills to solve large-scale problems.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Developer

Current

Olibr

Feb 2025 - Present (8 months)

Developed AI-driven solutions for a job placement platform, processing 86M+ candidate profiles with PySpark to reduce processing time from 90 days to 8 days and implemented semantic search with Elasticsearch to improve relevancy and speed.

Pyspark Elasticsearch Computer Vision Redis AWS S3 Resume Parsing

Data Science Intern

Cantilever

Jun 2024 - Jul 2024 (1 month)

Built an eBay web scraper and image text extraction pipeline, improving scraping efficiency by 40% and OCR accuracy by 30%, and integrated real-time storage and analytics dashboards while halving request latency.

Flask Selenium BeautifulSoup Docker PostgreSQL Data Visualization

Research Intern

Maharaja Agrasen Institute of Technology

Jul 2023 - Dec 2023 (5 months)

Developed an MRI brain tumor detection system using CNN and VGG ensemble, improving accuracy from 97% to 99.5% and achieving a 20% recall improvement via augmentation and regularization techniques.

Python TensorFlow CNN VGG 16 & Model Tuning OpenCV Medical Imaging VGG16

Technical Intern

Delhi Metro Rail Corp

Aug 2023 - Sep 2023 (1 month)

Analyzed metro signaling mechanisms and network infrastructure, gaining hands-on experience in signaling efficiency and network management for urban rail operations.

Network Analysis Data Collection Technical Reporting