Collaborators
Talented builders who have contributed to JBAC EdTech projects.
Aaditya Shankar
JBAC AI Trading CoachComputer Engineering · Trinity College Dublin
Aaditya Shankar is a Computer Engineering undergraduate at Trinity College Dublin with deep expertise across AI/ML, full-stack development, and embedded systems. He joined JBAC EdTech as a collaborator on the JBAC AI Trading Coach, where he contributed to building a production-grade Angular + FastAPI system powered by AWS Bedrock LLMs, complete with sentiment analytics, strategy evaluation, and cloud-optimized deployments.
His technical foundation spans core computing (Data Structures, Algorithms, Operating Systems), hardware–software integration (Microcontrollers, Digital Logic), and advanced mathematics (ODEs/PDEs, Numerical Methods, Vector Calculus). Aaditya has built a diverse portfolio of AI-driven projects, including a Personalized Tutor RAG System using Cohere and FAISS-based retrieval, an EkaImpact NGO Chatbot with domain-specialized LLM capabilities, and an Arduino-based autonomous buggy with PID control and ultrasonic sensing.
His work consistently reflects a practical, real-world engineering mindset - combining AI models, algorithmic thinking, and robust system design to build tools that operate reliably outside controlled environments. Outside academics, Aaditya is passionate about fitness, cricket, music, and experimenting with interactive web designs and 3D visuals.
Aaditya's long-term vision centers on the intersection of AI/ML engineering, software systems, and intelligent hardware - building scalable, high-impact technology that integrates machine learning with real-world constraints.