About Me
I'm an AI/ML Engineer passionate about building intelligent applications using Machine Learning, Generative AI, Computer Vision, Large Language Models (LLMs), and AI Agents. I enjoy transforming complex problems into AI-powered solutions that automate workflows, improve decision-making, and deliver real-world value.
Through projects including Scorelia, Deepfake Video Detection, Vision Document Parsing, and Face Recognition Attendance Management, I've gained hands-on experience developing end-to-end AI applications — from data preprocessing and model development to AI pipelines, backend APIs, and modern web interfaces.
I'm continuously exploring Agentic AI, Retrieval-Augmented Generation (RAG), multimodal AI, and modern LLM frameworks to build more capable and reliable intelligent systems. My goal is to engineer production-oriented AI products that solve meaningful problems and create measurable impact.
Bachelor of Technology (B.Tech)
Experience
- Evaluated 50+ AI prompt variations for response quality, consistency, and model performance.
- Performed AI output evaluation, workflow validation, and functional/API testing across real-world use cases.
- Identified response issues, documented defects, and collaborated with developers to improve AI application reliability.
- Validated AI-generated outputs and supported continuous improvement of AI models and workflows.
