- 🎓 Computer Systems & Software Engineering student at KBTU
- 🤖 AI Engineer focused on Machine Learning, LLMs & Data-Driven Systems
- 📱 Android Developer using Kotlin + MVVM
- 🌐 Software Engineer experienced in Web & Backend Development
- ☁️ Familiar with cloud platforms, APIs, databases, and deployment workflows
- 🧠 Strong problem-solving, system design, and product thinking mindset
- 💼 Open to freelance, startup, and research collaborations
| AI / ML Models, data pipelines, automation, inference workflows |
Full-Stack Modern frontends, APIs, dashboards, and backend systems |
Android Kotlin apps with clean architecture and maintainable code |
Enterprise AI Banking Support Platform integrating conversational AI, RAG-based knowledge retrieval, ticket lifecycle management, customer analytics, audit logging, and secure authentication.
Engineered with FastAPI, React, Gemini AI, Google OAuth, and modern cloud deployment practices to demonstrate scalable enterprise customer support architecture and intelligent workflow automation.
Hybrid ML + RAG research assistant focused on semantic retrieval, citation-grounded generation, and confidence-aware AI responses. Designed for trustworthy academic and technical document understanding using LLMs, embeddings, vector databases, and retrieval-augmented generation pipelines.
Enterprise Knowledge Intelligence Platform featuring Retrieval-Augmented Generation (RAG), Semantic Search, Workspace Isolation, Conversation Memory, and Multi-Provider AI Routing. Built with FastAPI, Next.js, Qdrant, Sentence Transformers, and modern LLM infrastructure to transform business documents into intelligent AI-powered support systems.
Production-oriented Machine Learning pipeline engineered for automated data processing, model training, evaluation, and deployment workflows.
Focused on reproducibility, modularity, and scalable ML operations for real-world AI systems.
Production-grade Retrieval-Augmented Generation (RAG) platform designed for intelligent research paper understanding using semantic embeddings, contextual retrieval and vector-based search pipelines. Engineered with FAISS, Sentence Transformers, Streamlit and modular AI architecture to deliver grounded, context-aware responses over research documents.
Production-ready full-stack weather intelligence platform combining real-time weather insights, interactive maps, travel recommendations, cloud-based weather history management, and multi-format data export.
Tech Stack: Next.js • TypeScript • Tailwind CSS • Supabase • PostgreSQL • OpenWeatherMap • Leaflet • OpenStreetMap • YouTube Data API • Vercel
⚠️ Important Note:
Several high-profile, academic, and client-based projects are maintained in private repositories due to:
- university policies
- client confidentiality
- intellectual property protection
Access can be provided upon request for evaluation or collaboration purposes.
💬 Open to collaboration & freelance work
⭐ If you find my work useful, consider starring my repositories