Headline: AI Engineer (Fresher, B.Tech CSE 2026) – specializes in Generative AI, Retrieval‑Augmented Generation (RAG) & AI agents.
Role: Agentic AI Engineer Trainee at Zetheta Algorithms Private Limited (Oct 2026 to Present), Chennai.
Education: Bachelor of Technology - BTech, Computer science engineering (2022 to 2026) – BSA Crescent Institute of Science and Technology.
- ParcelPilot (Oct 2026): AI support copilot using RAG and tool‑calling; shows evidence for every answer and requires human confirmation before any state‑changing action.
- Programming: Python, C++, OOP, FastAPI, SQL, SQLite, Pandas, scikit‑learn, OpenCV, Streamlit, AWS, SAP ERP, SaaS, SDLC.
- Claude Academy: AI capabilities and limitations (Nov 2026, Anthropic)
- English – Full professional proficiency
Career Objective: I am seeking entry‑level roles in Generative AI, AI Engineering or Data Analytics (Chennai or remote) and can join immediately after graduation in 2026.
- Tamil – Native or bilingual proficiency
- Foundations: Data, Data, Everywhere (Jun 2025, Coursera)
- GenAI Powered Data Analytics Job Simulation (Jun 2025, Forage)
- Solutions Architecture Job Simulation (Jun 2025, Forage)
- AI/ML: Large Language Models (Gemini), Retrieval‑Augmented Generation, Prompt Engineering, Agentic AI Development, Generative AI, Machine Learning, Data Mining, NLP, Computer Vision, Image Processing.
- Data & Analytics: Data Literacy, EDA, Data Visualization, Data Modeling, Big Data, Data Analysis, Data Processing, Research Skills.
- Cloud & Architecture: Cloud Computing, Cloud Security, Solution Architecture, Amazon Web Services.
- Additional: API development, Systems Design, Software Project Management, Graphic Design, Canva, Microsoft Excel, Content Design.
- SmartVein‑ID (May 2026 – Jul 2025): Contact‑less hand‑vein authentication on Raspberry Pi Zero 2W with 92‑98 % match confidence via CLAHE, Black‑Hat, Otsu thresholding, and rotation‑tolerant template matching.
- Personality Prediction System (Jun 2024 – Apr 2024): NLP‑based model with TF‑IDF features; Logistic Regression achieved >85 % accuracy.