Sarthak Kumar
About Sarthak Kumar
Sarthak Kumar is a Software Engineer with experience in various programming languages and tools. He has worked at companies such as CSIR India, Genpact, and Lokal, and holds a Bachelor of Technology in Material Science and Engineering from the Indian Institute of Technology, Kanpur.
Work at Lokal
Sarthak Kumar has been employed at Lokal as a Software Engineer since 2021. In this role, he contributes to the development of software solutions, leveraging his expertise in various programming languages and frameworks. His experience at Lokal builds upon his previous roles in the software engineering field.
Previous Experience in Software Engineering
Before joining Lokal, Sarthak Kumar worked at Genpact as a Software Engineer from 2020 to 2021. He also held a position at Chegg Inc. as a Subject Matter Expert for two months in 2020. Earlier in his career, he worked as a Blockchain Developer at CSIR India for three months in 2019, where he developed a decentralized peer-to-peer renewable energy trading system.
Education and Expertise
Sarthak Kumar earned a Bachelor of Technology (BTech) in Material Science and Engineering from the Indian Institute of Technology, Kanpur, from 2016 to 2020. His educational background includes a strong foundation in science, having completed his 12th grade with the Central Board of Secondary Education, where he achieved a notable CGPA of 9.8 in his 10th grade.
Technical Skills and Proficiencies
Sarthak Kumar is proficient in a variety of programming languages and tools, including TypeScript and JavaScript, and frameworks such as Django, Angular, and Spring Boot. He has experience with multiple databases, including PostgreSQL, Redis, MySQL, MongoDB, and CouchDB. His skill set extends to DevOps practices, utilizing tools like Docker and Git, as well as implementing machine learning techniques and cloud computing solutions using AWS services.
Blockchain and Machine Learning Experience
During his internship at CSIR-Central Drug Research Institute, Sarthak Kumar developed a decentralized peer-to-peer renewable energy trading system using the Hyperledger Fabric blockchain framework. He is also skilled in machine learning techniques, including Regression Modeling, Random Forest, XGBoost, and kNN Classifier, and has expertise in Natural Language Processing, utilizing libraries such as NLTK and Keras.