Software Developer / Full Stack Developer
I am a Passionate Full Stack developer specializing in the MERN (MongoDB, Express.js, React.js, Node.js) stack. With a strong background in both front-end and back-end development, I bring a comprehensive skill set to deliver end-to-end solutions.
Skills
Experience
Education
•Worked under the supervision of Dr. Atul Gupta in the field of Nautal Language Processing
• Improved the accuracy of FinBERT model by 2% compared to GPT best accuracy by fine Tuning on the Augmentated Data generated by Paraphrasing.
• Used the Pegasus and ChatGPT 3.5 model for Data Augmentation using Specific Prompts.
• Led and managed a team of 14 students to create an Enterprise Resource Planning (ERP) system for IIIT Jabalpur
• The system consisted of 29 modules catering to various administrative needs of the institute and has been created to be used by over 2000 students, 50 Faculty Members and over 30 Staff Members of the institute.
Courses - Data Structures, Analysis Of Algorithms, Database Management, Operating Systems, Computer
Networks, OOPs, AI, ML, DL, Software Engineering, Cyber Security, Web Mining, Natural Language Processing
I possess a strong understanding of the MERN stack and have built numerous projects using it.
Additionally, I have extensive knowledge of HTML, CSS, and Bootstrap.
I have solved 800+ DSA problems on various platforms
• 3 star on Codechef
• 345 Rank in Codeforces Div 3
• Rank 19 on Codechef Oct. Long challenge 2022
I have a strong foundation in Computer Science fundamentals and have completed numerous course projects in areas such as DBMS,OS,OOPs Machine Learning, Artificial Intelligence and Computer Networks.
Linkedin
Enhanced FinBERT Sentiment Analysis, achieving a 3% accuracy improvement using data augmentation with ChatGPT 3.5 and Pegasus. Improved accuracy by 24%, reaching 80% in Forex trading sentiment analysis, addressing limited dataset challenges. Employed advanced market evaluation techniques like Pearson correlation and directional accuracy for robust sentiment analysis.
Developed a web scraping solution with Python (FastAPI, Scrapy spiders) to retrieve "call for proposal" information from Google search results. Processed over 6000 lines per cycle and used advanced filtering for up-to-date information. Enhanced the frontend with React.js and integrated Firebase Real-time Database for efficient data handling.
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