Making LLMs do what they're told
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Assessing your cultural and operational fit
auto-vertical-reframe
April 19, 2026 – Present
Scene-aware vertical auto-reframe CLI that turns horizontal footage into 9:16 video without losing the subject.
View Projectproduction_rag_pipeline
March 18, 2026 – Present
Free Perplexity-style web search library for local sLLM. Bing + DuckDuckGo → semantic filtering → reranking → LLM-ready prompt with citations.
View Projectcbt-assistant
March 11, 2026 – Present
A local AI-powered CBT assistant with chat, RAG-based knowledge search, thought journaling, sleep tracking, mood assessments and SOS practices — all running privately on your machine via Ollama.
View Projectdspy-optimization-patterns
November 23, 2025 – Present
A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.
View Projectsystem-prompt-benchmark
November 19, 2025 – Present
Automated Red-Teaming tool for LLM Security. Evaluate system prompts against prompt injection, jailbreak, and data exfiltration attacks.
View Projectproduction-rag
November 4, 2025 – November 4, 2025
Production-quality Retrieval-Augmented Generation with multi-strategy retrieval and comprehensive evaluation framework.
View Projectllmflow-search
May 21, 2025 – Present
LLMFlow Search agent processes complex queries, deep searches, and synthesizes information from the web.
View Projectbook-translator
December 3, 2024 – Present
Translate books and big text files via Ollama LLMs using two-stage approach with initial translation, then AI self-reflection and refinement.
View Projectvideo-analyser
November 10, 2024 – November 13, 2024
⚡ The YouTube Video Analyzer Pro brings AI-powered analysis capabilities to your fingertips, offering deep insights for content creators and marketers.
View ProjectNovelGenerator
November 2, 2024 – November 5, 2025
Fiction generator using LLM agents to create complete novels with coherent plots, developed characters, and diverse writing styles.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML and LLM development, with minimal direct frontend development experience. While there's exposure to HTML, CSS, and JavaScript, it appears to be in a supporting role for AI applications rather than core frontend architecture or UI/UX. This indicates a potential mismatch with a dedicated 'Frontend Developer' target role, suggesting a stronger fit for an AI/ML Engineer or Fullstack Developer with an AI focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on independent, technical problem-solving.