Raghavendra Manjegowda

Data Scientist

https://talent.gravityer.com/raghavendra-manjegowda

Interests - OS, Embedded System and LLMs

Member since June 27, 2026

Key Strengths

Strong foundational skills in C++ and Python, frequently used in data science and autonomous systems.
Extensive personal projects demonstrating practical application in areas like real-time systems, LiDAR processing, and Kalman filters, which are highly relevant to data science roles in robotics or autonomous vehicles.
Experience with embedded systems and operating system development (Vivitsa) indicates a deep understanding of low-level programming and system architecture.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards self-directed learning and complex problem-solving, which could indicate a good cultural fit for innovative and research-oriented teams. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

RAGify

February 18, 2025 – February 20, 2025

Contextual Code Exploration for Developers

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unscented-kalman-filter

August 12, 2020 – August 16, 2020

Unscented Kalman Filter (UKF) implementation to track vehicles using LiDAR and RADAR measurements

View Project

collision-avoidance-system

June 16, 2020 – June 21, 2020

Collision avoidance system by fusing lidar and camera data

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lidar-obstacle-detection

May 19, 2020 – June 21, 2020

Obstacle detection using lidar point cloud

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config

May 16, 2020 – Present

Profile Management with Git and Github

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vivitsa

June 12, 2018 – June 7, 2020

An Operating System written from scratch.

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development-of-real-time-systems

October 8, 2017 – May 28, 2019

Coursera Development of Real-Time Systems Course Assignments

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self-driving-car

April 28, 2017 – October 8, 2017

Udacity Self-Driving Car Nano Degree

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forked-repos

January 6, 2017 – April 30, 2025

Repository I have forked from others

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programming-mobile-applications-for-android-handheld-systems

June 24, 2015 – July 29, 2015

Coursera "Mobile Cloud Computing with Android" specialization

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Key Strengths

Strong foundational skills in C++ and Python, frequently used in data science and autonomous systems.
Extensive personal projects demonstrating practical application in areas like real-time systems, LiDAR processing, and Kalman filters, which are highly relevant to data science roles in robotics or autonomous vehicles.
Experience with embedded systems and operating system development (Vivitsa) indicates a deep understanding of low-level programming and system architecture.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Raghavendra Manjegowda

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit