I'm an AI/ML Engineer with 1+ years of hands-on experience in applied machine learning, backed by 5+ years of building scalable full-stack systems.

I work across NLP, computer vision, generative models, and classical ML, focusing on building practical AI solutions that integrate cleanly into production environments.

My background in full-stack development helps me bridge the gap between model development and real-world deployment.

Machine Learning & AI

• 🤖 LLM-based applications and prompt engineering
• 🎨 Image generation (Stable Diffusion workflows)
• 👁️ Computer vision and NLP tasks
• 📊 Classical ML for prediction and classification
• 🎯 Model training, evaluation, and fine-tuning

Development & Deployment

• 🐍 Python, PyTorch, TensorFlow
• 🤗 Hugging Face ecosystem, OpenAI APIs
• 🔌 Backend integration and API development
• ☁️ Cloud deployment and DevOps practices
• 🌐 Full-stack application development

Autonomous Browser Automation Platform

• Self-hosted headless browser automation with 0% detection rates
• Advanced anti-detection, fingerprinting control, and behavioral simulation
• Built with Node.js, Playwright, and AI-powered decision-making

AI-Powered Resume Analyzer

• Privacy-first resume analysis platform using Next.js 16
• OpenAI GPT-4 integration for ATS compatibility scoring
• Skill gap analysis, grammar checking, and job description matching

AI-Powered Social Media Scraper

• Intelligent Twitter/X.com data extraction and analytics
• Clean data processing with AI integration
• Engagement metrics and profile analytics

I'm actively seeking opportunities as an AI/ML Engineer where I can:

• ✅ Build and deploy production-ready AI systems
• ✅ Work with LLMs, computer vision, and generative models
• ✅ Expand my experience across different model architectures
• ✅ Contribute to impactful AI-driven products
• ✅ Collaborate with international teams on challenging problems