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I’m Zuhriddin Sharofiddinov (Zuck), an AI and software engineering student based in Toronto, focused on building reliable AI systems and automation tools that actually help teams move faster. I enjoy working across the full stack, turning ideas into working services, then validating and improving results with a strong attention to quality, safety, and real-world constraints.…

Zuhriddin Sharofiddinov

AI Engineer, Software Engineer, Data Scientist, +2

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I’m Zuhriddin Sharofiddinov (Zuck), an AI and software engineering student based in Toronto, focused on building reliable AI systems and automation tools that actually help teams move faster. I enjoy working across the full stack, turning ideas into working services, then validating and improving results with a strong attention to quality, safety, and real-world constraints.…

Available to hire

I’m Zuhriddin Sharofiddinov (Zuck), an AI and software engineering student based in Toronto, focused on building reliable AI systems and automation tools that actually help teams move faster. I enjoy working across the full stack, turning ideas into working services, then validating and improving results with a strong attention to quality, safety, and real-world constraints.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

AI Training Contractor at Mercor

May 1, 2026 - June 30, 2026

Evaluated and ranked LLM outputs across coding and consulting tasks using structured rubrics. Compared model responses side by side and provided written rationales for each ranking to improve model alignment. Identified hallucinations, factual inaccuracies, and safety issues in model-generated responses, documenting failure patterns and delivering detailed feedback to support model improvement for leading AI labs.

Projects — Supply Chain Transparency & Audit Platform

January 1, 2026 - Present

Built a supply chain compliance platform that traces ethical and regulatory compliance across multi-tier supplier networks using a graph-based relational model with recursive SQL CTEs. Implemented Clean Architecture (Domain/Application/Infrastructure/API), JWT authentication, Redis caching, and Docker/Kubernetes deployment with CI/CD via GitHub Actions.

Projects — Multi-Agent Product Copywriting

January 1, 2026 - Present

Designed a multi-agent Python backend workflow for product analysis, SEO strategy, competitor research, and copywriting, generating marketplace-ready content in under 30 seconds. Containerized a scalable multi-service architecture with Docker Compose and automated builds, tests, and PR checks using a GitHub Actions CI/CD pipeline.

Supply Chain Transparency & Audit Platform (C# .NET 8, React, SQL, Redis, Docker) at Projects

January 1, 2026 - Present

Multi-Agent Product Copywriting (Python, TypeScript, LangChain, Docker, Git) at Projects

January 1, 2026 - Present

Designed a multi-agent Python backend workflow for product analysis, SEO strategy, competitor research, and copywriting to produce marketplace-ready content in under 30 seconds. Containerized a scalable multi-service architecture with Docker Compose and automated builds, tests, and PR checks via a GitHub Actions CI/CD pipeline.

Software Consultant Intern at KPMG

January 1, 2026 - April 30, 2026

Built Python automation scripts with NumPy and scikit-learn to eliminate recurring manual data processing, reducing a 10-hour workflow to near-zero for 90+ consultants. Developed an RFP document generator using Power Automate to assemble proposals from structured inputs, reducing drafting time for the advisory team. Created and maintained Oracle SQL stored procedures for an internal pricing tool enabling 30+ consultants to query deal profitability directly from the database. Produced Power BI dashboards connected to SQL sources to surface 5 years of advisory deal trends and insights for internal stakeholders.

YouTube Comments Spam Detector

September 1, 2025 - October 1, 2025

Built a spam/ham classifier using scikit-learn and NLTK with a Multinomial Naive Bayes model, Bag-of-Words features, and TF-IDF weighting, achieving 87% test accuracy.

Projects — Cosmetics Multi-Agent RAG System

September 1, 2025 - December 1, 2025

Created a multi-agent backend (Planner, Reflection, Summarization, Validation) backed by a retrieval pipeline over open-source health product data, with a Flask API serving and a Streamlit chat UI. Used LLaMA 3.3 via Groq for inference and FAISS as the vector database for semantic retrieval.

YouTube Comments Spam Detector (scikit-learn, NLTK, Python) at Projects

September 1, 2025 - October 1, 2025

Built a spam/ham classifier using scikit-learn and NLTK with Multinomial Naive Bayes and Bag-of-Words features with TF-IDF weighting. Achieved 87% test accuracy.

Cosmetics Multi-Agent RAG System (LangChain, LangGraph, FAISS, Streamlit) at Projects

September 1, 2025 - December 1, 2025

Built a multi-agent backend workflow (Planner, Reflection, Summarization, Validation) backed by a retrieval pipeline over open-source health product data. Implemented a Flask API and Streamlit chat UI, using LLaMA 3.3 via Groq for inference with FAISS for semantic retrieval.

Marketing Associate at Quartermaster

April 1, 2025 - December 1, 2025

Collaborated with the software team to triage and report product bugs using Jira and Slack. Supported a team of 11 and helped drive a 15% homeowner-to-user conversion across the GTA through marketing coordination and feedback loops.