Shobhit

I am Shobhit Gupta, a highly skilled Software Engineer with over 3 years of dedicated experience in the field. I earned my B.Tech in Computer Science & Engineering from Maharaja Surajmal Institute of Technology, where I laid the foundation for a robust technical skill set.

Throughout my professional journey, I have excelled in backend development and ML integration, showcasing expertise in various programming languages, including Python, Java, JavaScript, C, and C++. My proficiency extends to technologies such as Flask, Git, Jenkins, and a range of databases, including MySQL, PostgreSQL, and MongoDB. I have consistently demonstrated my ability to navigate complex technical landscapes.

In my role at Porbis3P Consulting Pvt Ltd, I played a pivotal role in integrating OpenAI into existing ML applications. This initiative not only optimized server response times but also significantly improved prediction accuracy, a testament to my commitment to pushing technological boundaries. Leading the development of an in-house OCR pipeline was another highlight, where I successfully eliminated dependencies on external APIs, reducing processing time from 2 days to 5 minutes. This not only streamlined operations but also enhanced the scalability of ML-based BMS systems.

As a Full Stack Developer at NlpCore-EarlySail, I leveraged my skills in ReactJS, Python, GraphQL, and MongoDB to develop dynamic dashboards. This not only enhanced the user experience with real-time updates but also resulted in a 70% increase in user engagement. Additionally, my role involved designing and implementing a User Management System from scratch, streamlining the onboarding process. I actively participated in the migration of a Windows application into a cross-platform app using the Electron framework, contributing to the design, development, and successful deployment of the project.

My tenure as a Trainee Decision Scientist at Mu Sigma Business Solutions involved extensive front-end work using NodeJS and ReactJS. I took the lead in creating a Natural Language Query (NLQ) Dashboard from scratch, employing Python, Dash, and SQLova model. This project achieved a 95% accurate intent classification and earned recognition with a Spot Award. I also contributed significantly to the migration of all modules of the in-house AI Assistant muNERVA to open-source frameworks, showcasing my adaptability to evolving technology stacks.

Noteworthy among my achievements is the comprehensive Fully-Automated Workflow I designed and implemented at Mu Sigma. This showcased the migration of data from SQL databases to Hadoop, incorporating Data Quality Management (DQM) checks, data sanitation using Apache Airflow, and seamless integration with a Kubernetes cluster through a CI/CD pipeline. This initiative resulted in a 60% reduction in processing time.

In addition to my technical expertise, I am well-versed in working within agile software development environments. My hands-on experience with cloud platforms, particularly AWS (Lambda, EC2, S3, ECS), demonstrates my adaptability to diverse technological ecosystems.

I am excited about the prospect of contributing my skills and experience to new challenges. My passion for technology, coupled with a proven track record, positions me as a valuable asset to any team or project. I am eager to bring my commitment, expertise, and innovative mindset to further contribute to the success of future endeavors.