Anand Kumar

Anand Kumar --"mailto:akm67209@gmail. LinkedIn R&D Engineer with 2.5+ years of experience in developing Machine Learning, Deep Learning, Computer Vision for real-time image processing & object detection. Proficient in Python, C++, TensorFlow,Yolo and Open-CV, with expertise in API development and model optimization. Skilled in delivering innovative solutions that enhance accuracy and performance. Work Experience R & D Engineer, LFT Pvt Ltd. (Gurgaon) Skills June 2022- Present Project1: Protocols- CXL2.0, CXL3.0 (C++)  Led the development of CXL2.0 and CXL3.0 APIs for GUI, resulting in a 30% increase in system responsiveness and improved user experience.  Worked on Data Link and Physical layers, including LTSSM Traffic Setup Hardware Status modules, while collaborating with hardware architects and developers for seamless functionality.  Conducted unit testing and debugging using Python scripts, ensuring high code quality and reliability. Contributed to requirement gathering, test case preparation, and detailed design documentation using Confluence and Jira. Project2: Helmet Detection using YOLOv8l (Computer Vision)  Led the design, development, and deployment of an automated Helmet Detection System using YOLOv8l with 80% detection accuracy, improving public safety and traffic law enforcement. Fine-tuned the model using 20k training images, leveraging Transfer Learning, Data Augmentation, and Image Processing to enhance precision and recall.  Skills Used: Python, Open-CV,Pandas,NumPy, Yolo,TensorFlow, Transfer Learning, AWS, Flask, Docker,Matplotlib, CI/CD, PyTest, Data Augmentation, Image Processing.  Optimized inference using TensorRT, reducing latency by 35%, and ensured reliability with PyTest, OpenCV, Pandas, and Matplotlib for analysis and visualization. Internship|IIT BHU Project: Kidney Disease Classification using Deep Learning   GitHub Developed and fine-tuned a VGG16 based deep learning model for kidney tumor classification, leveraging transfer learning and extensive data pre-processing to enhance model accuracy and performance. Achieved 80% on kidney image datasets, utilizing Python, TensorFlow, Keras, and Open-CV, Ml-flow, DVC contributing to improved diagnostic support in healthcare applications. Education B. Tech Computer Science and Engineering IIMT UNIVERSITY, MEERUT,UP (INDIA) [2022] – 84% Class XII Green Field Knowledge City School, Hajipur Bihar Class X Pratibha Pallavan Public School, Jehanabad Bihar  Programming: C, C++, Python  Statistics  ML Tools: Pandas, Numpy, Scikit-learn , MLflow, DVC  Deep Learning: VGG16, SSDMobileNet  Computer Vision:Open-CV, YOLO, RCNN  GenAI: LLM, HuggingFace  Framework: Flask,TensorFlow  Tools: AWS, GCP, CI/CD, JIRA  Others: SQL, Git, Docker, PyTest Soft Skills Time Management Research & Problem Solving Technical writing, User manuals Communication and Teamwork Good Learning Ability & Adaptable      Certifications Python for Everybody, Coursera (2020) Developing applications with GCP, Coursera (2020) ML on GCP, Coursera (2020) SQL server, Coursera (2020) Machine Learning, Udemy (2021)      Areas of Interest   Programming and problem solving Listening Music, Sports, Travelling, Cooking Languages Hindi, English, Bengali Achievements     Awarded for Class Topper in all semesters. Received an appreciation email from the organization for best performance. Secured 1st position in Hackathon organized by Eduyear in ML. Medal at District Level in Cricket.