Azad Kumar Jha

Product Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed real-time perception systems for industrial autonomy.
Designed AI-driven automation systems for enhanced digital visibility.
Strong foundation in computer vision and machine learning.

Stackforce AI infers this person is a skilled developer in Autonomous Systems and Digital Marketing.

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Skills

Core Skills

Machine LearningComputer VisionArtificial Intelligence

Other Skills

object detectionsegmentationpose estimationtrackingdepth estimationGPU optimizationinference efficiencycamera-LiDAR calibrationmulti-sensor alignmentAI-driven SEO automationPythonlidar camera calibrationSuper glueDeepSortMLA

About

As a Perception Engineer Intern at Virya Autonomous Technologies, I contribute to developing and deploying end-to-end real-time perception pipelines for industrial autonomy. My responsibilities include object detection, segmentation, pose estimation, tracking, and depth estimation on a custom MLSoC platform with a strong emphasis on GPU optimization and inference efficiency. I also focus on targetless camera-LiDAR calibration, enhancing multi-sensor alignment for improved spatial understanding in autonomous systems. Currently pursuing a Bachelor of Technology at the Indian Institute of Information Technology Design & Manufacturing Kancheepuram, I have developed a strong foundation in computer vision, machine learning, and robotics. My work is driven by a focus on creating robust, efficient, and scalable AI solutions that address real-world challenges across multiple domains.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Virya autonomous technologies

Perception Engineer Intern

Jan 2026 – Present · 5 mos · Bangalore Urban, Karnataka, India · On-site

At Virya Autonomous Technologies, I work on building and optimizing real-time computer vision and perception systems for industrial autonomy. My work involves developing and deploying end-to-end perception pipelines, including object detection, segmentation, pose estimation, tracking, and depth estimation, on a custom MLSoC platform, with a strong focus on GPU optimization, inference efficiency, and real-time performance. I have also worked on targetless camera-LiDAR calibration, improving multi-sensor alignment and enabling more reliable spatial understanding for autonomous systems.

object detectionsegmentationpose estimationtrackingdepth estimationGPU optimization+5

Edlar

Software Developer Intern

Sep 2025 – Dec 2025 · 3 mos · Chennai, Tamil Nadu, India · Remote

Designing an AI-driven SEO automation system that enables restaurants to achieve higher direct reservations, more online orders, reduce dependence on third-party aggregators, boost digital independence, and increase visibility in locality.

AI-driven SEO automationPythonArtificial Intelligence

Indian institute of technology, madras

Machine Learning Intern

May 2025 – Aug 2025 · 3 mos · Chennai, Tamil Nadu, India · On-site

Developed and tested vision-based perception modules for robotics applications, evaluating model performance under
realistic conditions such as motion blur, varying illumination, partial occlusion, and sensor noise.
Conducted benchmarking of 7+ embedding models and 10+ vision/VLM models, analyzing robustness, generalization,
and failure cases relevant to object detection, recognition, and scene understanding in autonomous systems.
Built end-to-end automated evaluation pipelines for large-scale datasets, including data preprocessing, configurable test
scenarios, and reproducible reporting—accelerating perception model validation and deployment workflows.