Karthikeyan Periyasamy

AI Engineer with 2+ years of hands-on experience building Generative AI, Retrieval-Augmented Generation, semantic retrieval, multimodal workflows, and production web systems. Independently architected and delivered an AI-native LMS with multiagent tutoring, secure code execution, asynchronous workers, role-based controls, and multi-model resilience. Combines strong Python and FastAPI engineering with Next.js, PostgreSQL, Redis, Celery, Docker, vector search, and cloud deployment, using a systems-first approach to reliability, evaluation, latency, and safety.

Engineer - MUKESH AND ASSOCIATES

(2024-11 - 2025-03)

• Developed AWS-based image-recognition workflows for visual data categorization, feature detection, and automated metadata extraction.
• Optimized cloud processing paths for reliable semantic analysis across high-volume image workloads and supported real-time inference requirements.
• Strengthened output quality and operational reliability through automated moderation, validation, and exception-handling controls.

AI Data Analyst - KAT ENTERPRISE LLC

(2023-05 - 2024-05)

• Built an AI personal-assistant workflow with tool orchestration for web search, news, enterprise retrieval, and MyCircle contact actions, improving assistant workflow efficiency by 95%.
• Engineered semantic recommendation and RAG pipelines using 768-dimensional embeddings and Cosmos DB for MongoDB vector search to ground responses in business and provider data.
• Implemented contextual conversation logging, user-level memory, approximate name matching, provider recommendation logic, geospatial filtering, and resilient API fallback handling.
• Integrated heterogeneous enterprise data into retrieval and recommendation flows, translating product requirements into production-ready Python and FastAPI services.

Data Scientist Trainee - ALMABETTER

(2022-10 - 2023-03)

• Completed applied training in Python, SQL, machine learning, deep learning, NLP, model evaluation, and end-to-end data-science workflows.
• Built predictive and language-processing projects involving data preparation, feature engineering, model experimentation, validation, and insight communication.
• Worked with Git, Docker, Jenkins, Spark, TensorFlow, and collaborative development practices across iterative project lifecycles.

Bachelor of Engineering - Electrical & Electronics Engineering - MAHENDRA ENGINEERING COLLEGE (2018)

Postgraduate Diploma - Cooperative Management - ANNA UNIVERSITY (2022)