Pushpendra Jain

CEO

Gurugram, Haryana, India3 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed advanced deep learning models for robotics.
Mentored students, enhancing their academic and co-curricular skills.
Engineered real-time applications for efficient system performance.

Stackforce AI infers this person is a Robotics and AI specialist with a focus on real-time systems.

Contact

Skills

Core Skills

Real-time Operating Systems (rtos)MentoringDeep Learning

Other Skills

C++LeadershipCryptographyAlgebrarange treesArduino IDEWeb DevelopmentManagementThreadsEmbedded SystemspointnetSegment anything model 3d3D-OWISMachine LearningTensorFlow

About

Hi, I am pursuing a Bachelor of Technology in Electrical Engineering at IIT Ropar, with a strong academic record. I have a passion for software development and constantly explore new frameworks and technologies. I interned at IIT Delhi, where I engineered deep learning models for 3D point cloud segmentation and developed ROS nodes for integrating these models into robots. Additionally, I have hands-on experience with RTOS systems, having designed and implemented real-time applications for efficient system performance. I have excellent communication and leadership skills, demonstrated through various projects and internships. I mentor students at Zenith, guiding them in co-curricular activities and helping them achieve their goals. I enjoy solving complex problems and coding solutions. Continuous learning and embracing new challenges are what drive me. I strive to deliver my best in everything I do. Thank you, IIT Ropar, for providing a solid foundation and fostering my growth as an independent engineer.

Experience

3 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

3 yrs 6 mos

Current Experience

J.p. morgan

Junior Analyst

Jun 2025 – Nov 2025 · 5 mos · Mumbai, Maharashtra, India · On-site

Zenith, iit ropar

Mentor

Jun 2024 – Jun 2025 · 1 yr · Punjab, India

MentoringLeadership

Indian institute of technology, delhi

Summer Intern

May 2024 – Jul 2024 · 2 mos · Delhi, India · On-site

Data Collection and Processing: Collected and preprocessed 3D point cloud data from the Velodyne Lidar sensor mounted on the robot within the lab.
Semantic Segmentation and Object Recognition: Implemented and evaluated state-of-the-art deep learning models including PointNet, D-OWIS, and Segment-Anything-3D for identifying and classifying semantic objects such as walls, ground, doors, barrels, and crates within the point cloud data.
Benchmarking and Model Evaluation: Conducted thorough benchmarking of the AI models to assess their effectiveness and performance in real-world scenarios.
Integration with Robotic Systems: Worked towards integrating the successful models into the robot’s operational system, allowing for real-time object detection and navigation.
Research and Development: Engaged in extensive research to stay updated with contemporary papers and cutting-edge AI libraries, ensuring the application of the latest methodologies in the project.
Collaboration and Guidance: Collaborated closely with a senior mentor who provided initial resources such as ROS (Robot Operating System) and offered continuous guidance for both data collection and model implementation.

C++Deep Learning

Indian institute of technology, ropar

2 roles

Intern

Promoted

Jul 2023 – Sep 2023 · 2 mos

System Design and Implementation: Developed an end-to-end solution for acquiring high-quality images from drones equipped with high-resolution cameras. This included the integration of STM32 microcontrollers for effective image capture and transmission.
Camera Integration: Successfully interfaced high-resolution cameras with STM32 microcontrollers, optimizing for superior image quality and accuracy in capturing detailed insect images.
Real-Time Operating System Development: Contributed to driver integration and development on Zephyr RTOS, enhancing the system's performance and functionality for real-time applications.
Cloud-Based Image Analysis: Facilitated the seamless transmission of captured images to AWS for sophisticated analysis and storage, harnessing the power of cloud computing for large-scale data processing.
Collaboration and Development: Worked closely with the team to integrate and fine-tune various hardware and software components, ensuring the system's robustness and reliability.

Real-Time Operating Systems (RTOS)C++