Biren Mer Email & Phone Number

Gujarat, India

Ahmedabad, Gujarat, India

Consultation: Provided expert consultation on the architecture of various machine learning systems, ensuring robust and scalable solutions.LLM Fine-Tuning: Specialized in fine-tuning Large Language Models (LLMs) such as Llama-3 on multiple formats including ORPD, JSON, and text. Utilized advanced tools like bitsandbytes, PEFT, AutoTrain, and Unsloth for efficient model training and optimization.Recommendation Systems: Conducted in-depth research and development of recommendation systems employing collaborative filtering and two-tower architecture to deliver personalized user experiences.Computer Vision: Worked extensively on computer vision tasks with a focus on object tracking. Leveraged cutting-edge tools such as YOLOv8, StrongSORT, DeepSORT, and OpenCV to achieve high accuracy and performance.Prompt Engineering: Consulted on various prompt engineering projects, offering tailored solutions to enhance AI model interactions and outcomes.Music Generation: Utilized PyTorch to develop an LLM model for generating music from text-based prompts. Drew inspiration from Meta's AudioCraft papers and Google MusicLM, and incorporated concurrency into the model to improve generation efficiency.Research: Engaged in research within the fields of Natural Language Processing (NLP) and music generation, contributing to the advancement of these domains through innovative methodologies.ANPR Systems: Created Automatic Number Plate Recognition (ANPR) systems using frameworks such as PyTorch and TensorFlow, and tools like Tesseract OCR and Keras OCR, delivering accurate and reliable recognition solutions.

Ahmedabad, Gujarat, India

Designed and implemented computer vision models for a variety of real-world applications such as object identification, picture segmentation, and facial recognition.Collaborated with cross-functional teams to define project requirements, gather data, and create robust machine learning pipelines.Utilized TensorFlow and PyTorch to construct, train, and fine-tune deep neural networks, resulting in state-of-the-art performance on picture classification tasks.Integrated OpenCV for image preprocessing and post-processing.Leveraged NumPy and pandas for data manipulation and analysis, ensuring data readiness for training and evaluation.Developed a highly accurate facial recognition system using deep learning techniques, achieving a recognition rate of 98% on a challenging dataset. This system was deployed in security applications, ensuring compliance with privacy regulations.Kept abreast of the latest advancements in computer vision and machine learning, incorporating them into project development to stay competitive.

Computer Science And Engineering, 8.28

I have recently entered in B.E. COMPUTER ENGINEERING an I am exploring the new stuff about the language and hardware of the computers.

H.S.C, Science A Strem