AI Systems Engineer (Graduate)
M.S. Computer Science β Saint Louis University (2026)
I build end-to-end AI systems including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and applied machine learning projects. My focus is on production-style AI architecture, clean engineering practices, and reproducible systems.
Full-stack AI tutoring system using FastAPI, OpenAI embeddings, vector search, and Next.js frontend.
Demonstrates real RAG pipeline, multi-user support, and production-style backend architecture.
π Repository: https://github.com/Yesh-is-here2/teachai
Computer vision + emotion detection + Spotify integration.
Real-time facial emotion classification using DeepFace and music generation pipeline.
π Repository: https://github.com/Yesh-is-here2/ai_mood_dj
Structured research and experimentation on OCR systems, multimodal LLMs, and applied AI architectures.
Demonstrates model evaluation mindset and architecture analysis.
π Repository: https://github.com/Yesh-is-here2/ai-research-explorations
Phase-based roadmap documenting transition from ML learner to production-ready AI engineer.
Includes ML pipelines, Docker, PostgreSQL, and system design foundations.
π Repository: https://github.com/Yesh-is-here2/building-ai-engineer-73-days
Enhancing Text Extraction: The Evolution and Future Potential of EasyOCR (2024)
Teaching Assistant β Data Structures
Vice President β University Extension Activity Council
LinkedIn: https://www.linkedin.com/in/yeshwanth-akula-0339a925b/
Email: akulayeshwanth3@gmail.com