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Pranav BansalPB
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Pranav Bansal

@pranavbansal1

I’m a software engineer building AI-driven computer vision systems and real-time embedded firmware.

India
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What I'm looking for

I’m looking for a role where I can build end-to-end AI systems (computer vision, NLP/LLMs) and pair them with robust backend/full-stack engineering, ideally on products that measure real impact.

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

CC
Current

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.

Indraprastha Institute of Information Technology Delhi (IIIT logoII

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

UG

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).

SD

Sant Gyaneshwar Model School, Alipur, New Delhi

Class XII, CBSE

Grade: 86%

Completed Class XII (CBSE) with 86%.

DU

Delhi Public School, Indirapuram, Ghaziabad, UP

Class X, CBSE

Grade: 94%

Completed Class X (CBSE) with 94%.

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