Pranav Bansal
@pranavbansal1
I’m a software engineer building AI-driven computer vision systems and real-time embedded firmware.
What I'm looking for
I’m a Software Engineer at the Center for Intelligent Product Development (CiPD), IIIT-Delhi, where I build real-time bare-metal firmware in C for STM32, ESP32, and Arduino-class systems, and develop interactive hardware projects with web-controlled interfaces. I also turn complex workflows into reliable software, from GPIO/UART/SPI/I2C interrupt-driven designs to OTA configuration over Wi‑Fi.
Previously, as a Software Engineer/Research Engineer at IIIT-D, I helped ship RAHI, an AI-driven roadway monitoring system for the Ministry of Rural Development using React, FastAPI, PostgreSQL, and a CBAM-enhanced ResNet for automated road condition classification. I’ve also collaborated on wildlife surveillance (YOLO‑v8 fine-tuning plus CLIP/DinoV2 semantic search) to cut analysis time by 90%, and built production-style pipelines like OpenCV-based defect detection with 0.2–0.3 mm localization and an 80% reduction in manual inspection. I bring a practical AI-and-systems mindset—shipping measurable outcomes with solid engineering practices.
Experience
Work history, roles, and key accomplishments
Software Engineer
Center for Intelligent Product Development (CiPD)
Jan 2026 - Present (5 months)
Developed bare-metal firmware in C for STM32, ESP32, and Arduino platforms, implementing GPIO, UART, SPI, I2C, timers, interrupts, and PWM for real-time sensor applications. Built a modular LED matrix gaming platform with a web control interface and Wi‑Fi OTA configuration.
Software Engineer / Research Engineer
Indraprastha Institute of Information Technology Delhi (IIIT
Jan 2025 - Dec 2025 (11 months)
Built RAHI, an AI-driven roadway monitoring system with React, FastAPI, and PostgreSQL, including synchronized video-GPS playback and CBAM-enhanced ResNet road condition classification. Collaborated on wildlife surveillance by fine-tuning YOLOv8 for 95+ species and improving image analysis by over 90% using CLIP and DinoV2 semantic search.
Education
Degrees, certifications, and relevant coursework
University School of Automation and Robotics, GGSIPU
Bachelor of Technology (B.Tech), Artificial Intelligence and Machine Learning
2021 - 2025
Grade: CGPA: 8.1
B.Tech in AI and Machine Learning at GGSIPU (CGPA: 8.1).
Sant Gyaneshwar Model School, Alipur, New Delhi
Class XII, CBSE
Grade: 86%
Completed Class XII (CBSE) with 86%.
Delhi Public School, Indirapuram, Ghaziabad, UP
Class X, CBSE
Grade: 94%
Completed Class X (CBSE) with 94%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/artzurosJob categories
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