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Hyderabad, In

Hyderabad, Telangana, India

– Developed a real-time freight container OCR and location system using Ray, achieving 100% location accuracy.– Integrated advanced sensor systems (LiDAR, GNSS) for a precise trigger mechanism and location inference.– Built a custom model & training pipeline for orientation classification, achieving 99% accuracy.– Finetuned Yolo models for container number detection, reducing false negatives by 20%.– Led product pipeline testing and analysis across various operational scenarios, leading to better generalization.– Deployed Jenkins pipeline for SAST, dependencies analysis and pipeline dockerization.– Created Grafana and Kibana dashboard for pipeline monitoring & analysis.– Contributed to designing a common platform SDK, enhancing code reusability and maintainability.

Hyderabad, Telangana, India

– Played a pivotal role in developing multiple advanced AI solutions tailored for freight container and cargo operations.– Enhanced an Image-Stitching module using keypoint extraction and matching, reducing the miss rate to 2%.– Trained custom segmentation models (e.g., UNet, DeepLab) for warehouse occupancy detection with 99% accuracy.– Revamped product for health assessment of freight containers with multi-product compatibility.– Designed a highly efficient detection aggregation method, reducing false negatives by 28%.– Prototyped a PyQT application for streamlined health assessments.– Implemented a FastAPI microservice to interact with camera SDK for a surveillance system.– Engaged in various SDLC phases, crafting user stories, code review and stakeholder interactions.– Mentored interns, driving interactive learning sessions and fostering continuous learning.

Hyderabad, Telangana, India

– Designed motion detection logic leveraging (MS-SSIM), reducing false transactions to 3%.– Built and refined a robust character classification model for OCR, enhancing accuracy to 98%.– Assisted in analysing product pipeline bottlenecks and potential improvements