Backend Engineer | Forward Deployed Engineer | AI Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
knowledge-gap-formulation
May 4, 2026 – Present
Paired research protocol for identifying and closing knowledge gaps in AI systems engineering
View Projecttenacious-bench
April 27, 2026 – Present
Benchmarking and improving AI sales agents through synthetic evaluation datasets, scoring pipelines, and fine-tuned LLM components for B2B outreach performance.
View Projectconversion-engine
April 20, 2026 – Present
An Automated Lead Generation and Conversion System for Tenacious Consulting and Outsourcing
View Projectoracle-forge
April 8, 2026 – Present
TRP1 FDE — The Oracle Forge (April 2026): Production-grade multi-database data analytics agent with context engineering, self-correcting execution, and DataAgentBench evaluation.
View Projectagentic-event-store
March 16, 2026 – Present
immutable memory and governance backbone for multi-agent AI systems at production scale
View Projectyoutube_video_downloader
December 23, 2025 – December 23, 2025
A feature-rich Telegram bot to download YouTube videos in high quality, supporting playlists, large files, and format selection.
View Projectdjinni-telegram-bot
December 8, 2025 – December 9, 2025
This is a Golang-based Telegram bot that fetches job postings from Djinni.co's RSS feed and delivers personalized notifications to subscribers.
View Projectfastapi-ecommerce
October 30, 2025 – December 21, 2025
A scalable and modular eCommerce REST API built with FastAPI, SQLAlchemy, and JWT authentication.
View Projectlyrics-rest-api
July 15, 2025 – September 24, 2025
A robust and scalable RESTful API for managing song lyrics, built with Go.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards independent development and exploration of various technologies (Go, Python, JavaScript). The project diversity suggests a curious and self-driven individual. However, the projects are heavily focused on API development, bots, and AI agent benchmarking, which, while related, do not directly align with a broad range of typical Data Scientist responsibilities such as statistical modeling, advanced machine learning algorithm implementation, or deep data visualization. This might indicate a need for cultural alignment towards more traditional data science workflows and team collaboration in a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available.