CHIRAG DAS

B.Tech CSE student · AI/ML Intern · Operations Lead

Bengaluru, Karnataka, India

@chirag_das

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🎓 B.Tech in Computer Science Engineering (Artificial Machine & Machine Learning) at Dayananda Sagar University · Graduating 2028

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About

Computer Science Engineering student focused on artificial intelligence, machine learning, and product/operations work. Has experience in AI-driven operations, ML pipeline development, and building web applications for real-world problems.

Experience

Leading Operations

Healloop · Bengaluru, India

Nov 2025 – Present

Lead day-to-day operations for an AI-driven micro-insurance platform providing flexible coverage based on real-time risk insights. Collaborate with tech and product teams to shape features, improve user experience, and ensure platform stability. Drive business growth through partnerships, market analysis, and expansion strategies. Coordinate across product, technology, and marketing teams to ensure smooth project execution and delivery timelines. Contributed to early-stage product decisions, aligning operational workflows with business and user needs.
Artificial Intelligence & Machine Learning Intern

Future Interns · Bengaluru, India

Nov 2025 – Dec 2025

Implemented machine learning models to solve real-world business problems. Worked on end-to-end ML pipelines including data preprocessing, model training, and evaluation. Improved understanding of model performance metrics and practical deployment considerations.

Education

2028

B.Tech in Computer Science Engineering (Artificial Machine & Machine Learning)

Dayananda Sagar University

Computer Science · Aug 2024 – Sep 2028

Computer Science · Aug 2024 – Sep 2028

Skills

<3 months

C SQL CSS HTML NumPy Python Pandas PyTorch Matplotlib

Tools / apps / platforms

<3 months

MySQL GitHub MongoDB VS Code Jupyter Notebook Google Cloud Platform Amazon Web Services AWS

Projects

Behavion - Behavioural Risk Detection with Ethical Support

Python, Pandas, Edge AI, NumPy, Streamlit

Designed a privacy-preserving Edge-AI framework to detect behavioural changes using sleep, activity and screen-time patterns. Proposed hybrid AI-based anomaly detection with adaptive thresholds, on-device processing, and ethical professional referrals.
PaharRakshaAI – Landslide Early Warning System

Python, FastAPI, MongoDB, React, Leaflet

Built a web app that predicts landslide risk across 32 zones in 8 North Eastern states and explains each alert in plain language. Added safe rerouting around blocked roads and offline geotagged field reports that sync once the network returns.

Courses & certifications

Cloud Computing Fundamentals Certifications · IBM SkillsBuild · 2026
Real Time Operating System Certification · NPTEL · 2025
Machine Learning Internship Certification · Future Interns · 2025
Web Based Technology and Multimedia Certification · NPTEL · 2024

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