I am a dedicated software developer with a strong background in computer science and engineering. Throughout my career, I have had the privilege of leading innovative projects across various domains, including MLOps, DevOps, and software development. My expertise lies in managing large-scale data pipelines, implementing cloud-native architectures, orchestrating complex migrations, automating deployment pipelines, and developing robust full-stack applications. With a commitment to continuous learning, I bring strong analytical skills and a genuine passion for driving technological advancements.
My journey in the realm of computer science has been fueled by a deep fascination for Machine Learning. This passion led me to pursue a Master's degree in Computer Science with a focus on Artificial Intelligence. During this time, I had the opportunity to collaborate with a robotics research group, where I contributed to the enhancement of obstacle avoidance algorithms by integrating sensor data.
Professionally, I have consistently strived to leverage my skills to innovate and improve complex systems. My career began as a software developer at Cloudcheckr, where I honed my expertise in working with .NET products. This experience provided me with a solid foundation in software engineering principles. Subsequently, I transitioned to a DevOps role at Susquehanna International Group, a prominent financial company. This position allowed me to develop a comprehensive understanding of system operations and development practices within a large organization.
Currently, I hold the position of Lead MLOps Engineer, where I am responsible for guiding a team of talented individuals in developing and maintaining machine learning models for pathology images. This role presents an exciting opportunity to work with cutting-edge technologies, such as deep learning and computer vision, to enhance the accuracy and efficiency of pathology diagnoses. I collaborate closely with stakeholders to ensure that the models align with their requirements and are deployed effectively and efficiently.
I am driven by a genuine passion for leveraging technology to address real-world challenges. I continuously seek opportunities to expand my knowledge and skills, eagerly anticipating the future advancements in the field of artificial intelligence.
With a solid foundation in computer science and engineering, I possess a particular enthusiasm for Machine Learning. My skills encompass managing extensive data pipelines, implementing cloud-native architectures, overseeing intricate migrations, automating deployment processes, and developing comprehensive full-stack applications. I am committed to ongoing learning and bring strong analytical abilities and a dedication to driving innovation through technological advancements.
Throughout my career, I have had the opportunity to work on a diverse range of projects, including:
Throughout my career, I have had the privilege of working as a Software Developer, DevOps Engineer, and MLOps Engineer. In my current role as a Lead MLOps Engineer, I am entrusted with the responsibility of leading a team of skilled developers and engineers in the development and maintenance of machine learning models for pathology images. For more detailed information about my professional experience, please refer to my resume.
I hold a Master's degree in Computer Science with a focus in Artificial Intelligence and a Bachelor's degree in Computer Engineering. These academic accomplishments have provided me with a solid foundation in the field of computer science and have equipped me with the necessary skills to excel in my professional pursuits.
If you would like to get in touch with me, please feel free to send an email to jobs@bharatjangir.com. I look forward to connecting with you and discussing potential collaborations or opportunities.