---
title: "Mouryaa Konathala - Placement Coordinator in Bengaluru | Tal"
description: "Meet Mouryaa Konathala, MS(Research) @ IITM | Ex-ML Intern @ Bhoodhristi | Ex-Project Intern @ ISRO(NRSC) | Amazon ML Summer School ’22 | IIITDMK ’24 based in Bengaluru. AI stack includes anthropic apis, antigravity, and claude code."
image: "https://tal.club/meet/mourya-konathala/share-image"
---

# Mouryaa Konathala on Tal

## Headline

MS\(Research\) @ IITM \| Ex\-ML Intern @ Bhoodhristi \| Ex\-Project Intern @ ISRO\(NRSC\) \| Amazon ML Summer School ’22 \| IIITDMK ’24

## About

Some researchers pick a lane\. I build the bridge between them\. I'm a Master's researcher at IIT Madras, working at the intersection of 3D computer vision, digital twin systems, and inference optimization, not as separate topics, but as one interconnected challenge\. The goal: machines that perceive the physical world in 3D, mirror it as a living digital replica, and make decisions fast enough to matter on a factory floor\. Before this, I've done my Bachelors with Major in Electronics &amp; Communication Engineering at IIITDM Kurnool with a minor in Machine Learning and Data Science, an unconventional combination that pushed me to think about intelligent systems from both the hardware and the algorithmic side\. Before IIT Madras, I got my hands dirty across some genuinely intresting problems\. At Bhoodhristi, I worked on estimating volumes of large\-scale stockpiles directly from raw aerial photogrammetry point clouds combining RANSAC\-based plane fitting, DBSCAN clustering, and tetrahedralization to extract precise 3D geometry from raw, noisy spatial data\. At ISRO\-NRSC, I built a custom YOLOv8\-based multiclass object detection model for satellite imagery hitting 98\.5% mAP50, deployed on a government server\. At Soul AI, I contributed to LLM alignment through RLHF, sitting in the feedback loop that shapes how large language models reason and respond\. The thread connecting all of it: I think in research depth and build in production\-ready systems, equally comfortable deriving what should work and engineering what actually does\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude code

claude

codex

hugging face

## Work experience

Placement Coordinator at Placement &amp; Internship Cell, IIT Madras, Jun 2025 \- Present · 1 yr 4 mos, \- Led student outreach initiatives to attract companies for internship and placement opportunities\. \- Managed the logistics for company interviews to ensure a smooth onboarding process\.

Machine Learning Intern at Bhoodhristi Pvt Ltd, Dec 2023 \- May 2024 · 6 mos, Worked on Stockpile volumetric estimation and analysis of point cloud data generated out of LiDAR and Photogrammetry

Project Intern at National Remote Sensing Centre, ISRO, May 2023 \- Jul 2023 · 3 mos, Shad Nagar, Telangana, India, Built a multi class object detection model for satellite imagery and developed a Streamlit\-based Web app and deployed it on ISRO Server

AI/ML CORE at Google Developer Student Club IIITDM Kurnool, Aug 2022 \- Jul 2023 · 1 yr, Mentored students and conducted hands\-on sessions to teach machine learning concepts, fostering deep understanding and practical application of AI/ML techniques\.

Mentee \- Amazon ML Summer School 2022 at Amazon, Jul 2022 \- Jul 2022 · 1 mo

## Education

Master of Science\(Research\), Interdisciplinary, Indian Institute of Technology, Madras

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, Indian Institute of Information Technology Design &amp; Manufacturing, Kurnool

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

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