Skills
Python, SQL, Machine Learning, Artificial Intelligence (AI), AI Engineering, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Agents, Prompt Evaluation, AI Model Evaluation, Model Evaluation, Embeddings, Vector Search, Semantic Search, Hybrid Search, BM25, Knowledge Graphs, GraphRAG, Question Answering, Transformers, Hugging Face Transformers, scikit-learn, spaCy, LlamaIndex, FastAPI, REST APIs, Pydantic, Neo4j, Cypher, Weaviate, PostgreSQL, Firebase, Docker, Prometheus, Grafana, Git, GitHub, pytest, JWT Authentication, API Integration, Data Analysis, ETL, Software Engineering, Object-Oriented Programming (OOP), Software Architecture, Design Patterns, Technical Documentation, Java, Dart, JavaScript, Flutter, Next.js, HTML, CSS
About
Software Engineering graduate with hands-on experience in AI Engineering, Machine Learning, NLP, RAG, Agentic AI, Knowledge Graphs, backend development, and AI model evaluation. Experienced in building end-to-end AI systems using Python, FastAPI, LlamaIndex, Neo4j, Weaviate, scikit-learn, Transformers, and Docker.
Built and evaluated AI solutions involving hybrid retrieval, semantic search, question answering, knowledge graphs, REST APIs, and multi-agent workflows. Contributed to an Agentic AI customer-support platform, focusing on model evaluation, observability, NLP, system integration, and performance monitoring, achieving strong evaluation results including 1.00 Intent Macro-F1 and 1.00 Top-3 Retrieval Accuracy.
I also have professional experience reviewing and evaluating AI-generated outputs and technical tasks for correctness, reasoning quality, instruction following, and implementation accuracy. I am a fast learner with a strong Software Engineering foundation and enjoy solving complex technical problems, learning new technologies, and building practical AI-powered applications.
Profile Photo
