Skills

Technical Skills

Core Skills

• Foundations: Data Structures & Algorithms, Object-Oriented Programming, Software Design Patterns.
• Development: Web Development, System Design.

Programming Languages

• Java — Enterprise backend development (Java 8, 17, 21).
• Python — Dataset preparation, model finetuning, and ML/LLM tooling.
• C# / ASP.NET — Enterprise application development (Core, Core MVC).
• JavaScript/TypeScript — Frontend development with Vue.js and React.js.
• HTML/CSS — Web markup and styling.
• SQL — MySQL, Microsoft SQL Server — schema design, query optimization.
• Bash/Shell — Automation and CI/CD scripting.

AI, LLM & Speech

• Large Language Models (LLM): Model internals and configuration, structured LLM planning and validation, prompt/agent design, LLM-based detection and classification pipelines.
• LLM Finetuning: Full finetuning and LoRA-based adapter training and evaluation.
• Speech AI — Text-to-Speech (TTS) & Automatic Speech Recognition (ASR): Model finetuning, dataset preparation and curation, benchmarking and evaluation.
• Model Optimization: Model quantization, inference performance tuning, and Real-Time Factor (RTF) improvements — the ratio of audio-processing time to audio duration, lower is faster.
• Model Publishing: Publishing finetuned models, datasets, and quantized variants on HuggingFace.
• Deep Learning Fundamentals: Neural networks, hyperparameter tuning, sequence models, TensorFlow/PyTorch.

Backend & Frameworks

• Spring Ecosystem: Spring Boot, Spring Framework, Spring Security (JWT, RBAC), Spring Data JPA/Hibernate.
• ASP.NET: ASP.NET Core, ASP.NET Core MVC.
• API Design: RESTful API design, versioned service architecture, domain-driven module design.
• Build Tools: Maven, Maven Central package publishing.

Frontend

• Vue.js 3 — Component-based SPA development with Vuex state management.
• React.js — Component-based UI development.

Databases & Caching

• Relational: MySQL, Microsoft SQL Server, Oracle DB, JPA/Hibernate ORM.
• NoSQL: MongoDB.
• Caching & In-Memory: Redis, Caffeine.

Distributed Systems & Cloud

• Distributed Systems: Distributed state synchronization, concurrency primitives (ConcurrentHashMap, ExecutorService), fault-tolerant coordination patterns.
• Cloud & Storage: AWS S3, Docker containerization.
• CI/CD: Jenkins pipelines, Docker Compose, automated build/deploy workflows.

Domain Expertise

• Telecom / VoIP: Session Border Controllers, number management, billing systems.
• Software Engineering: Enterprise architecture, testing (JUnit), workflow/process design, technical writing.

Version Control & Tooling

• Git, GitHub, GitLab — Collaborative development, open-source maintenance, CI/CD workflows.

Certifications & Training

• Deep Learning Specialization — Coursera (deeplearning.ai), 2025

Currently Exploring

• Advanced TTS/ASR model architectures, quantization, and finetuning techniques
• LLM-based agentic systems and structured planning