13 posts
What is the difference between a data scientist and an AI engineer? A comprehensive guide to both role definitions, daily work, required skills, and career path.
AI transition for software developers: a skill bridge that leverages your existing experience, a step-by-step learning plan, portfolio projects, and a role-change roadmap.
What are the differences between AI Engineer, ML Engineer and Data Scientist? Role definitions, skill sets, responsibilities, transition paths and career path here.
How to become an AI engineer? Skill set, a step-by-step roadmap, portfolio and production project building, finding a job in Türkiye, and career transitions in one guide.
What is an AI engineer? An AI Engineer builds and integrates AI features into real applications using ready-made foundation models and APIs. This guide: a clear definition, the ML engineer difference, required skills, career path, salary range, the Türkiye ecosystem, limits, and FAQs.
AI is not destroying the value of professions; it is redistributing it. This evidence-based guide: which jobs AI augments rather than replaces, AI-core roles (AI engineer, agent builder), AI×domain hybrids (health, law, finance), resilient human-centric professions, the path from pressured roles to rising ones, the truth about 'prompt engineering is dead', Türkiye-specific opportunities, and a self-positioning framework. With Anthropic, WEF/LinkedIn, and Yale data.
A concrete roadmap to land a global remote AI Engineer position from zero in 12 months: 5 production-level projects, GitHub portfolio + blog strategy, $200K+ offer. Karpathy, Raschka, 3Blue1Brown, Andrew Ng curriculum; HuggingFace + LangChain + Anthropic Academy free programs; Turkish alternatives; case study (14-month timeline); and interview strategy for top offers.
In Türkiye, AI Engineer average is 50,500 TL (Eleman.net), Istanbul 75-110K TL, Senior 180K TL+. Globally, OpenAI/Anthropic/DeepMind L6+ roles hit $850K-$1.28M (Levels.fyi). LinkedIn AI Engineer demand YoY +74%. City, experience, equity, tax (Wise, sole-prop), and Türkiye-to-remote transition strategy — complete data report.
Most comprehensive Turkish technical guide for Few-Shot Learning prompt optimization: academic origins (Brown et al. 2020 GPT-3 paper, in-context learning discovery), 8 example selection strategies (random, similarity-based KATE, diversity, semantic, active learning), optimum example count analysis (1 vs 3 vs 5 vs 10 vs 32), ordering effects (Lu et al. 2022 'lost in middle'), delimiter and formatting best practices, Anthropic XML tags pattern, Few-Shot + CoT combination, recency + primacy bias, dynamic few-shot retrieval, prompt versioning, A/B test framework, 25+ Turkish practical examples, evaluation framework, production deployment.
Most comprehensive Turkish technical guide for Chain-of-Thought (CoT) prompting: academic foundations (Wei et al. 2022 NeurIPS paper, Kojima et al. 'Let's think step by step'), 6 CoT variants (Zero-shot CoT, Few-shot CoT, Self-Consistency, Tree-of-Thoughts, Graph-of-Thoughts, Auto-CoT), benchmark performance (GSM8K 18% → 78%), 35+ Turkish practical examples, model-specific CoT behavior, when NOT to use, hallucination control, multi-step task design, agentic system integration, Turkish-specific pitfalls, cost impact.
Detailed math guide for AI/ML engineering: 5 main areas (Linear Algebra, Calculus, Probability + Statistics, Optimization, Information Theory), per area depth required by job type (AI Engineer / ML Engineer / Research Scientist differ), 50+ concepts (vector/matrix/derivative/gradient/eigenvalue/SVD/lambda/expected value/MLE/MAP/Adam/Lagrange/KL divergence), Turkish + English learning resources (3Blue1Brown / Gilbert Strang / Khan Academy / BTK Akademi), Andrew Ng vs Andrej Karpathy approach difference, 6-month math learning plan, which formulas to memorize vs intuition only, practical vs theoretical math, math interview questions, course order for beginners, sequential book recommendations.
Deep technical + career comparison of AI Engineer, ML Engineer, Data Scientist roles: historical origins (2010 Data Scientist → 2015 ML Engineer → 2023 AI Engineer), day-to-day work, tech stack (PyTorch/TF/scikit-learn vs LangChain/MCP/vector DB), Turkey salary ranges 2026 (₺55K-300K), global comparison (US $130K-500K), two main career paths (academia vs industry), 7 main differences, which role suits you, transition strategies, interview questions, seniority levels, Turkish company examples (Trendyol, Getir, Turkcell, BiTaksi), 6 Turkish specialized niches.
A comprehensive data-driven analysis of AI's impact on software developers: 2024-2026 productivity research (Google DORA, GitHub, McKinsey, Stanford), Turkey software market (TÜBİSAD, BSO), threatened vs strengthened roles, junior/mid/senior impact, which skills gain value, KVKK + Turkish economic impact, 12-month + 3-year + 10-year forecasts, and 10 strategic recommendations for developers.