---
title: "Aditya Karan - Physics-Informed Real-Time Drone Detection System in Ahmedabad | Tal"
description: "Meet Aditya Karan, AI/ML Engineer | Data Analytics Consultant | SQL | Power BI | Machine Learning | Computer Vision | Ex-DRDO Research Fellow based in Ahmedabad."
image: "https://tal.club/meet/aditya-172/share-image"
---

# Aditya Karan on Tal

## Headline

AI/ML Engineer \| Data Analytics Consultant \| SQL \| Power BI \| Machine Learning \| Computer Vision \| Ex\-DRDO Research Fellow

## About

I am a Machine Learning Engineer and Data Analytics Consultant with experience in Computer Vision, Geospatial AI, SQL and Business Analytics\. During my research fellowship at DRDO, I worked on geospatial anomaly detection, satellite imagery analysis and predictive modelling for real\-world applications\. I have also developed end\-to\-end Computer Vision and IoT\-integrated systems using YOLOv8, OpenCV and Flask\. My expertise includes: • Machine Learning • Data Analytics • SQL • Power BI • Predictive Analytics • Computer Vision • Flask Applications I am currently open to: • AI/ML Engineering Opportunities • Data Analytics Roles • Freelance Consulting Projects • Research & Development Collaborations Portfolio: https://refined\-personal\-brand\.lovable\.app/ Let's connect if you're looking for data\-driven solutions or AI\-powered systems\.

## Location

Ahmedabad

## Work experience

Physics\-Informed Real\-Time Drone Detection System at Self\-Employed, Dec 2025 \- Jan 2026 · 2 mos, ➜ Engineered a real\-time drone vs\. bird classifier on live video using YOLOv8 \+ OpenCV; achieved high\-precision detection by injecting physics\-informed kinematic constraints \(speed envelope, trajectory smoothness, oscillation frequency\) into post\-processing — going beyond vanilla bounding\-box inference\. ➜Reduced false positive rate significantly vs\. baseline YOLO inference by filtering detections against physics\-derived motion signatures, validated on real\-world outdoor footage and a custom\-annotated dataset\. ➜Built full IoT alert layer: ESP32 microcontrollers trigger real\-time Telegram API notifications upon threat classification — complete end\-to\-end pipeline from video ingestion → detection → classification → dispatch\. ➜Architected the entire pipeline as a modular, deployable system: video ingestion → frame preprocessing → YOLOv8 inference → kinematic filter → classification → IoT dispatch\. Validated on real\-world footage\.

Research Fellow — Geospatial AI & Remote Sensing at DRDO, Ministry of Defence, Govt\. of India, Jun 2024 \- Aug 2024 · 3 mos, Delhi, India, ➜Designed an end\-to\-end ML pipeline for land\-cover anomaly detection in satellite imagery targeting active border surveillance — one of a small number of undergraduate researchers selected for DRDO's classified research track\. ➜Processed and analyzed large\-scale multi\-temporal remote sensing datasets using ArcGIS, QGIS, and Google Earth Engine; built feature extraction workflows to identify statistically significant spatial change patterns across time\-series imagery\. ➜Built spatial risk models integrating multi\-source geospatial signals; delivered structured technical reports and documentation adopted directly into DRDO project workflows\. ➜Co\-authored peer\-reviewed research published in IJERT \(DOI: 10\.5281/zenodo\.18441874\) — "Scenario\-Driven Land Change Anomaly Assessment for Border Surveillance," 2025\.

DRDO Representative — Sustainable Development Technical Sessions at AAEIT, Jun 2024 \- Jun 2024 · 1 mo, Rajasthan, India, Represented DRDO in cross\-organizational technical sessions on environmental impact assessment and low\-emission engineering strategies; contributed to collaborative working groups with multi\-disciplinary teams\.

## Education

Bachelor of Technology \- BTech, Computer Science, SILVER OAK UNIVERSITY

[View the original profile](https://tal.club/meet/aditya-172)

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