Available for Opportunities — 2026
AI & Data Science Engineer. Building intelligent systems that turn messy data into clear decisions — from RAG pipelines to production-grade deep learning models.
S. Antony Mittul
Final-year Computer Science & Engineering student at Hindustan Institute of Technology and Science, graduating in 2026 with a CGPA of 8.8/10.
I work at the intersection of AI engineering and data science — building RAG systems, training deep learning models, and shipping products that actually run in production. Not just notebooks.
Currently wrapping up an AI internship at Orion Innovation where I designed an end-to-end analytics platform using LLMs, FAISS, and FastAPI. Before that, built a cross-platform mobile app at XUVI Technology Labs.
An end-to-end analytics platform built at Orion Innovation that lets business users query structured and unstructured data in plain English. Powered by a RAG architecture — semantic chunking, FAISS vector retrieval, and LLM response generation — with deliberate safeguards against hallucination. The React + TypeScript dashboard dynamically renders charts and insights from natural language queries.
Chest X-ray classification using a custom CNN pipeline — data augmentation, Conv–ReLU–MaxPool blocks, and Grad-CAM heatmaps for visual explainability. Deployed via Streamlit for real-time inference. The explainability angle is what makes it more than a classifier.
Multi-domain analytics work covering sentiment analysis on restaurant reviews, public bike-sharing ridership patterns (regression + decision trees), and Indian government open data visualization. End-to-end: data cleaning, EDA, ML models, and interactive Tableau dashboards.
Open to full-time roles, research positions, and interesting problems in AI. Based in India, open to remote.