Riddhima Bhargava — Product Engineer

I am a 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 currently pursuing B.Tech in Software Engineering at Delhi Technological University (𝗖𝗚𝗣𝗔: 𝟵.𝟴𝟭). My work focuses on real-world AI systems — from RetinaNet implementations to SAR–EO image translation using CycleGAN and diffusion models. I enjoy building models from scratch, understanding architecture internals, and optimizing systems using metric-driven evaluation (PSNR, SSIM, mAP). During my 𝗠𝗟 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 at DTU, I: • Reproduced state-of-the-art object detection methods • Built EO/SAR datasets for cross-modal translation • Implemented RetinaNet and anchor generators from scratch • Trained GAN and diffusion models with systematic ablation studies In the 𝟱𝗚 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲 𝗟𝗮𝗯 (DoT, DTU), I worked on: • 5G-enabled AI intrusion detection systems • YOLO-based real-time vision pipelines deployed with MEC edge computing • Low-latency system architecture design for intelligent surveillance I am particularly interested in: Computer Vision • Remote Sensing • Edge AI • Detection Architectures • Foundation Models Open to: SDE Internships | Research Internships | Applied ML Roles | Computer Vision Research | AI Systems Engineering Let’s connect if you're building intelligent systems that operate in the real world.

Stackforce AI infers this person is a Machine Learning and AI Systems Engineer with a focus on Computer Vision and 5G technologies.

Location: Delhi, India

Experience: 1 yr