Headline

Applied AI Engineer | Full Stack Intern @ Casting Bell | Building AI Products, Agentic Systems & Intelligent Workflows

About

I'm an MCA graduate from Jain University (2025) and am currently working as a Full Stack Intern at Casting Bell. My work sits at the intersection of software engineering, automation, and AI. At Casting Bell, I've worked on automating dataset creation and augmentation workflows, improving information extraction through prompt engineering, enhancing frontend experiences, and contributing to product development initiatives, including a Progressive Web App (PWA). What keeps me curious is the rapidly evolving field of AI. I'm particularly interested in Generative AI, Large Language Models, Agentic AI systems, retrieval-based architectures, memory systems, multi-agent workflows, and the broader challenge of building intelligent systems that can reason, adapt, and create real-world value. Outside of work, I spend much of my time building projects, experimenting with new AI tools and frameworks, and exploring ideas that bridge research and practical applications. I enjoy taking concepts from research papers, technical blogs, and emerging technologies and turning them into working prototypes and products. My long-term interest lies in Applied AI and AI Research, especially in areas involving agentic systems, intelligent decision-making, memory architectures, and the next generation of AI-powered products. Always open to connecting with engineers, researchers, founders, and teams building meaningful AI systems.

Location

Bengaluru

AI stack

claude code

codex

kimi

langgraph

notebooklm

obsidian

Work experience

Full Stack Developer at Casting Bell, Aug 2025 - Sep 2026 · 1 y 1 mo, Bangalore Urban, Karnataka, India, -> Automated parts of the dataset creation and augmentation workflow, reducing manual effort and improving data preparation efficiency. -> Improved flyer parsing accuracy by refining prompts and structuring extracted information into detailed, usable records. -> Enhanced frontend UI components across the platform with a focus on responsiveness, usability, and pixel-perfect implementation. -> Currently developing a Progressive Web App (PWA) to improve the mobile and cross-platform user experience. -> Built and customized a client's WordPress website from scratch while using AI-assisted development tools.

Data Science / Analytics at Zidio Development, Jul 2024 - Aug 2024 · 2 mos, Bengaluru, Karnataka, India, • Engineered a machine learning model for digit recognition using SVM, achieving 94% accuracy. • Applied hyperparameter tuning (Randomized SearchCV) to optimize model performance, improving accuracy by 15%.

Machine Learning Intern at Prodigy InfoTech, Apr 2024 - Apr 2024 · 1 mo, Remote, • Developed a predictive model using linear regression to forecast house prices, achieving an R-squared value of 0.85. • Built an image classification solution using CNNs and OpenCV for image preprocessing, attaining 92% accuracy. • Applied clustering algorithms (SVM) to segment customers, enhancing customer targeting efficiency by 20%.

Education

Master of Computer Applications - MCA, Artificial Intelligence & Machine Learning, Jain (Deemed-to-be University)

Bachelor of Science, Information Technology, Chikitsak Samuhas Sir Sitaram and Lady Shantabai Patkar College of Arts and Science

Public links

github: https://github.com/MaqboolSaiyed