Mohaneesh Pradhan profile photo 1 on Tal

Mohaneesh Pradhan

Former SWE Intern @ Google | M.E. Software Systems ’26 @ BITS Pilani, Pilani Campus

Bengaluru

2+ years of work experience

Google
Jan 20267 mosJul 2026

Bangalore Urban

During my time as a Software Engineering Intern at Google, I spearheaded the development of a Gen-AI Agent Orchestration System and an accompanying Observability App designed to enable intelligent service discovery and streamline complex deployment workflows. I architected a robust integration framework utilizing Python, the Agent Development Kit (ADK), and WebSockets to evaluate eight distinct agent skills, while also building a TypeScript and REST-based internal observability application. Ultimately, this system drove significant efficiency gains by achieving a 50% reduction in manual testing through automation, and the app served as a crucial reference implementation to resolve ongoing client issues.
Birla Institute of Technology and Science, Pilani
Aug 20241 yr 5 mosDec 2025

Pilani, Rajasthan, India

Navikenz
Jan 20247 mosJul 2024

Remote

In my remote role at Navikenz, I focused heavily on applied machine learning by developing an Audio-based Sentiment Classification System capable of categorizing speech into seven distinct emotional classes. I engineered and trained various deep learning architectures—including CNN, LSTM, and hybrid CNN-LSTM models—leveraging a comprehensive dataset of over 20,000 audio samples sourced from TESS, RAVDESS, CREMA, and SAVEE. My efforts culminated in a highly effective solution, attaining a peak validation accuracy of 98% with the CNN model, which successfully outperformed both the standalone LSTM and the combined CNN-LSTM architectures.
Tata Group
Jun 20223 mosAug 2022

Jamshedpur

As a Project Intern at Tata Steel in Jamshedpur, I developed a comprehensive Dispatch Operations Analytics App using Flutter to actively enhance data-driven decision-making capabilities for the road dispatch team. To support the mobile interface, I implemented a robust Flask backend and analytics pipelines designed to process and visualize real-time data tracking 700 to 1,000 vehicles and 17 kilotons of daily dispatch. By optimizing the automatic data ingestion, processing, and reporting workflows, this application successfully yielded a 60% reduction in manual effort for the dispatch personnel.
GitHub
@mohaneesh-03
LeetCode
@mohaneesh33rd

Mohaneesh’s AI Stack

antigravity
antigravity
codex
codex

Education

Birla Institute of Technology and Science, Pilani

Master of Engineering - MEng, Software Systems

Birla Institute of Technology and Science, Pilani

20242 yrs2026
Manipal University Jaipur

Bachelor of Technology - BTech, Information Technology

Manipal University Jaipur

20204 yrs2024

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Headline

Former SWE Intern @ Google | M.E. Software Systems ’26 @ BITS Pilani, Pilani Campus

About

I am proficient in C++, python and SQL. I possess hands-on knowledge of machine learning, deep learning, and computer vision, along with cross-platform app development using Flutter. Additionally, my strong foundation in Data Structures and Algorithms, particularly in C++, allows me to approach problem-solving in a systematic and efficient manner.

Location

Bengaluru

AI stack

antigravity

codex

Work experience

SWE intern at Google, Jan 2026 - Jul 2026 · 7 mos, Bangalore Urban, During my time as a Software Engineering Intern at Google, I spearheaded the development of a Gen-AI Agent Orchestration System and an accompanying Observability App designed to enable intelligent service discovery and streamline complex deployment workflows. I architected a robust integration framework utilizing Python, the Agent Development Kit (ADK), and WebSockets to evaluate eight distinct agent skills, while also building a TypeScript and REST-based internal observability application. Ultimately, this system drove significant efficiency gains by achieving a 50% reduction in manual testing through automation, and the app served as a crucial reference implementation to resolve ongoing client issues.

Teaching Assistant at Birla Institute of Technology and Science, Pilani, Aug 2024 - Dec 2025 · 1 yr 5 mos, Pilani, Rajasthan, India

Software Engineer Intern at Navikenz, Jan 2024 - Jul 2024 · 7 mos, Remote, In my remote role at Navikenz, I focused heavily on applied machine learning by developing an Audio-based Sentiment Classification System capable of categorizing speech into seven distinct emotional classes. I engineered and trained various deep learning architectures—including CNN, LSTM, and hybrid CNN-LSTM models—leveraging a comprehensive dataset of over 20,000 audio samples sourced from TESS, RAVDESS, CREMA, and SAVEE. My efforts culminated in a highly effective solution, attaining a peak validation accuracy of 98% with the CNN model, which successfully outperformed both the standalone LSTM and the combined CNN-LSTM architectures.

Project Intern at Tata Group, Jun 2022 - Aug 2022 · 3 mos, Jamshedpur, As a Project Intern at Tata Steel in Jamshedpur, I developed a comprehensive Dispatch Operations Analytics App using Flutter to actively enhance data-driven decision-making capabilities for the road dispatch team. To support the mobile interface, I implemented a robust Flask backend and analytics pipelines designed to process and visualize real-time data tracking 700 to 1,000 vehicles and 17 kilotons of daily dispatch. By optimizing the automatic data ingestion, processing, and reporting workflows, this application successfully yielded a 60% reduction in manual effort for the dispatch personnel.

Education

Master of Engineering - MEng, Software Systems, Birla Institute of Technology and Science, Pilani

Bachelor of Technology - BTech, Information Technology, Manipal University Jaipur

Public links

github: https://github.com/mohaneesh-03

leetcode: https://leetcode.com/mohaneesh33rd