AI Engineer | Early-Career | Generative AI, RAG, Vector Databases

I am a Computer Science graduate specializing in Artificial Intelligence with hands-on experience in software development, backend engineering, and AI/ML applications.

Over the past few years, I have worked on diverse projects spanning full-stack web applications, AI-powered systems, and scalable backend architectures. My expertise includes:

• Python (Django, FastAPI, Flask)
• JavaScript frameworks (React, Node.js)
• Databases such as PostgreSQL and MongoDB, with additional exposure to cloud platforms like AWS and GCP.

I am particularly passionate about AI-driven problem-solving. I have implemented generative AI solutions, Retrieval-Augmented Generation (RAG) pipelines, and NLP-based applications, and I have experience working with frameworks like:

• LangChain
• Vector Databases
• LLM orchestration.

My work also includes developing end-to-end systems such as a Financial Document Reader with rule-based parsing, NER processing, and LLM-based entity extraction, achieving high accuracy on structured financial datasets.

Beyond AI, I enjoy building full-stack applications that integrate user-focused design with robust backend systems. I thrive in collaborative, cross-functional teams where I can learn, contribute, and innovate. My goal is to join a company where I can apply my skills in AI/ML and software engineering to solve meaningful challenges, contribute to scalable solutions, and grow as a developer while making a real-world impact.