Sam Deva Prasanth A

AI/ML & Generative AI Engineer with hands-on experience building LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and AI assistants using Python and modern AI frameworks. Experienced in developing production-oriented GenAI solutions with FastAPI, LLM APIs, vector databases, and cloud platforms. Strong background in Python full-stack development, REST API design, LLM application development, and end-to-end AI solution delivery.

Skilled in building scalable, reliable, and context-grounded AI applications with a focus on performance and practical business use cases.

GenAI & Agentic AI Program at Learnbay (2026-05 – Present)

Expected Completion: 11/2026

• Currently pursuing training in Generative AI, LLMs, RAG, Agentic AI, and LLMOps.
• Gaining knowledge of LangChain, LlamaIndex, Azure OpenAI, Hugging Face Transformers, vector databases, Multimodal RAG, Graph RAG, and prompt engineering.
• Learning fine-tuning techniques including PEFT, LoRA, and QLoRA, along with RAG evaluation and LLM application development.
• Learning and applying AutoGen, CrewAI, and LangGraph for AI agent workflows, tool calling, and automation.

Python Full Stack with React Internship at Camerin Folks Pvt. Ltd. (2025-02 – 2025-07)

• Applied Python with Django to build secure backend systems, REST APIs (DRF), and manage SQL databases.
• Developed dynamic front-end interfaces with React.js using hooks and routing for seamless user experience.
• Implemented full-stack features including user authentication, file handling, and CRUD operations, with Git/GitHub version control and deployment collaboration.

Data Science with AI Internship at Avodha EduTech Pvt. Ltd. (2024-09 – 2025-01)

• Applied Python with NumPy, Pandas, Matplotlib, and Seaborn for data cleaning, preprocessing, and exploratory data analysis (EDA).
• Built classification and regression models using Scikit-learn, applying algorithms like Logistic Regression, Decision Trees, KNN, SVM, and Random Forest.
• Gained practical experience in Deep Learning with TensorFlow and Keras, implementing ANN, CNN, and NLP-based models using Jupyter Notebook and GitHub.

Junior Python Developer at Digitalee (2022-01 – 2024-08)

• Designed and developed scalable web applications using Django and Flask frameworks.
• Integrated third-party APIs and built RESTful services, optimizing database queries for improved performance.
• Enhanced frontend responsiveness and collaborated with cross-functional teams to deliver high-quality software solutions.

Python Django Internship at Avodha Edutech Pvt Ltd (2021-03 – 2021-10)

• Learned Python programming fundamentals and applied Django for basic web development with MySQL/PostgreSQL integration.
• Developed a mini e-commerce project to implement Python and Django concepts in a practical scenario.
• Gained introductory experience in APIs, debugging, and deploying projects on GitHub.

Network & Infrastructure Roles at K-Security, Emigo Pvt Ltd, Abel Softwares, InfoTech Software Solutions (2015-01 – 2020-12)

• Configured and maintained Cisco routers, switches, and Windows Server environments.
• Implemented routing protocols (OSPF, EIGRP, BGP), VLANs, and network security setups; managed Active Directory, DNS, and DHCP.
• Installed and configured computer networks, hardware, and CCTV surveillance systems with LAN/WAN troubleshooting support.

Bachelor of Engineering in Computer Science – Sun College of Engineering and Technology (2011-07 – 2014-05)

Diploma in Information Technology – Sun Institute of Technology (2008-06 – 2011-05)