Abhisar Anand

AI Engineer & Data Analyst

Building real-world AI systems powered by ML, CV, IoT,
and intelligent analytics.

About

Hey, I'm an aspiring student who loves tackling real-world issues: be it ideas from various fields, people from various teams, or applications from different industries. Some of my projects include AI Detection of Epileptic Seizures, Mask Detector, Occupation Tracker, Car Speed Detector, and "Drivector".

I have strong technical skills in engineering, machine learning, and deep learning. My passion lies in solving business problems with tailored data and algorithms and communicating complex ideas to non-technical stakeholders.

Experience

Data Analyst Intern

Brooks Automation • May 2025 – Present

Designed and developed an AI-powered On-Time Delivery Intelligence Dashboard to streamline global supplier performance analysis. Integrated automated news search and a supplier-specific AI chatbot. Delivered live demos to senior leadership including the CIO.

President & Campus Co-Organizer

Google Developer Groups Purdue • Aug 2024 – Present

Leading a passionate team to unite the campus through technology. Hosted monthly events to foster learning and collaboration, reaching as many students as possible.

Software Development Intern

Medical Informatics Engineering • May 2024 – Present

Spearheading "Real-Time Voice Transcription" utilizing Python, Raspberry Pi, and OpenAI's WhisperAI. Reduces manual documentation errors and integrates with EHR via Docker scable deployment.

Software Development Intern (IoT)

Medical Informatics Engineering • May 2024 – May 2025

Directed engineering of an NFC/RFID security system using Raspberry Pi + ESP32 with AES encryption. Integrated with Apple Wallet and MQTT for telemetry.

AI & Computer Vision Developer

New England Shirdi Sai Baba Temple • Jun 2020 – Nov 2023

Developed a Deep Learning-based Mask Detector and Occupancy Tracker for the temple. The system identifies non-compliant visitors with automated audio alerts and manages real-time foot traffic across multiple entries to enforce capacity limits.

View Appreciation Letter ↗ View Volunteer Hours ↗

Software Engineer Intern

FluidStack • July 2021 – Aug 2021

Worked on various tasks improving the service offered by the company.

Intern in IT and Data Science

LPBI Group • June 2021 – Aug 2021

Performed large-scale web scraping (6,000+ articles), created SOPs, and developed Deep Learning models for Epilepsy and Emotion classification.

Academic Research

Purdue • 2023-2024

Sustainable Fertilizer ML

ML model to discern waste types for composting, aligning with UN SDG Goal 15. Reducing ecological impact of agriculture.

Purdue • 2023-2024

Safe Scan Security AI

Real-time computer vision to distinguish normal activities from aggressive threats or firearms. Proactive safety for public spaces.

Purdue • 2023-2024

Surveillance Object Tracking

Comprehensive evaluation of 10 tracking algorithms (DeepSort, Lucas-Kanade) on a new custom dataset for entrance surveillance.

Technical Expertise

Industry & Specializations

Supply Chain Optimization Large Language Models (LLM) Computer Vision Deep Learning (TensorFlow, PyTorch, Keras) Machine Learning IoT & Embedded Systems Real-Time Systems Waste Management Medical AI Finance