Tushar Malik
About Tushar Malik
Tushar Malik is a Software Development Engineer 2 currently working at Nanonets in Delhi, India. He has a background in natural language processing and extensive experience in software engineering, having previously worked at organizations such as DRDO, Magic FinServ, and Afinoz.
Work at NanoNets
Tushar Malik has been employed at NanoNets as a Software Development Engineer 2 (SDE 2) since 2022. In this role, he contributes to various projects and initiatives, leveraging his expertise in software development and natural language processing. His work involves utilizing advanced technologies and frameworks to enhance the company's offerings and improve user experiences.
Previous Experience in Software Engineering
Prior to his current role, Tushar Malik worked at several organizations in software engineering positions. He served as a Software Engineer at Magic FinServ from 2020 to 2021 and at Afinoz Digitalizing Finance from 2019 to 2020. He completed a one-month internship at the DRDO Ministry of Defence in 2018, where he gained valuable experience in a government setting.
Education and Expertise
Tushar Malik earned a Bachelor's degree in Computer Science from Krishna Engineering College, Ghaziabad, from 2015 to 2019. He has developed expertise in various areas, including natural language processing, machine learning, and data engineering. His educational background has equipped him with the skills necessary to work with advanced technologies and frameworks.
Technical Skills and Certifications
Tushar Malik is proficient in a wide range of programming languages, frameworks, and libraries. He is familiar with natural language processing techniques and has experience with cloud platforms such as Azure and GCP. His technical skills include backend frameworks like Django, Flask, and FastAPI, as well as containerization and orchestration tools like Docker and Kubernetes.
Machine Learning and Data Engineering Proficiency
Tushar Malik has a strong foundation in machine learning algorithms and data engineering. He has explored various embedding techniques and is skilled in creating data pipelines for large datasets. His knowledge extends to deep learning architectures and experience with databases and caching solutions, enabling him to build scalable and efficient systems.