Md Mohtashim Meeran Email & Phone Number

Gurugram, Haryana, India

-> Incorporated a secure authentication system, managing JSON Web Tokens (JWT) and jwtDecode for session persistence and extract user data. Implemented Role-Based Access Control (RBAC) for various user roles, leveraging useRouter for dynamic routing to role-specific pages.-> Utilized the React Context API for state management, defining TypeScript interfaces for strict typing and structured state objects for complex data while employing useState and useEffect for dynamic updates. Integrated Axios for efficient data fetching & API management-> Implemented a Markdown Editor on the prompt submission page using react-markdown, react-quill & react-syntax-highlighter, providing a real-time WYSIWYG editor with custom toolbars and a live preview with syntax highlighted code, enhancing the user experience.-> Optimized application performance by implementing Lazy Loading and Code Splitting using Webpack, which dynamically imports components via React.lazy() & import(). Utilized Suspense for seamless UI transitions during the fallback period while fetching lazy-loaded components.

-> Spearheaded core team to manage the technical society of the university.

Greater Noida

-> Managed the society, its documentation, finances & resources. -> Organized various technical events & workshops.

-> Developed an Image Labeling and Captioning Tool using Python and React.js. Utilized Flask for RESTful APIs, along with AWS S3 and Redshift for efficient data storage, achieving a 70% optimized labeling process and a consequent 30% boost in overall work efficiency.-> Implemented a Python-based natural language file search system using OpenAI API. Employed Pandas for data cleaning and Elasticsearch for a 25% improvement in search accuracy and speed.

India

-> Developed an automated bulk messaging system using Instagram GraphAPI, effectively sending messages to a targeted user list, deployed on AWS EC2. Integrated with AWS S3 for efficient data storage, resulting in a significant 40% boost in the marketing teams’ operational efficiency.-> Implemented a data processing system using ETL to extract and transfer load in Python, seamlessly integrated with AWS S3, EC2, and Lambda. Leveraged Redshift for analytics, also performed EDA on large datasets, and achieved a 30% improvement in processing speed. -> Enhanced system efficiency by integrating task scheduling with Cronjob, utilizing AWS Lambda and EC2, while leveraging Route 53 for seamless DNS management resulting in a 25% reduction in processing time for scheduled tasks, contributing to increased overall system reliability.

-> Implemented YOLO v3 model in Python for single-class object detection, focusing on identifying the regions of interest within frames.-> Managed a 65+ class dataset, trained the model extensively, and achieved an outstanding 95% average accuracy, surpassing baseline standards.-> Scaled topic labeling model training using zero-shot classification, optimizing speed by 60% for a 17% boost in product scalability.

Bachelor Of Technology - Btech, Computer Science, 7.8

Activities and Societies: - President || @Technova, Technical Society, Sharda University -> Spearheading 8 Technical Clubs to manage.

Higher Secondary, Mathematics And Computer Science