Toxic Span Identification
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Summary
Engineered a machine learning model to detect toxic language spans, leveraging advanced NLP techniques for high accuracy, utilizing Python, Bi-LSTM, and BERT.
About
Highly skilled Full Stack Developer with a Bachelor of Technology in Computer Science, adept at engineering robust web applications and optimizing system performance. Proven ability to drive significant improvements in user engagement, reduce downtimes, and streamline development processes through expertise in Python, JavaScript, React, AWS, and machine learning. Seeking to leverage strong problem-solving skills and a track record of quantified achievements to deliver innovative solutions in a dynamic tech environment.
Work
Remote
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Summary
Engineered and optimized full-stack web applications to enhance user engagement and system performance for SmartRetail.
Highlights
Developed and deployed new web application features using Python, JavaScript, and HTML/CSS, resulting in a **15% increase in user engagement**.
Resolved critical system bugs, boosting application performance and **reducing downtime by 25%** through targeted interventions.
Conducted comprehensive code reviews for peers, ensuring adherence to coding standards and contributing to a **measurable improvement in team efficiency**.
Remote
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Summary
Developed and optimized a critical reporting feature, significantly improving data delivery efficiency and accuracy.
Highlights
Designed and implemented a robust reporting feature utilizing Python, AWS Lambda, and Jupyter Notebook, **reducing data reporting time by approximately 40%**.
Identified and resolved major bugs within the reporting tool, **decreasing error rates by 30%** and enhancing data reliability.
Facilitated seamless project delivery by collaborating effectively with cross-functional teams, aligning technical solutions with business requirements.
The CloudSys
|Full Stack Development Intern
Remote
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Summary
Built and optimized a Flutter and Firebase web application, enhancing user experience and development cycles.
Highlights
Developed a responsive web application using Flutter and Firebase, which **reduced load times by 20%** and significantly enhanced overall user usability.
Collaborated closely with design and development teams to implement rapid iteration cycles, accelerating feature deployment and responsiveness to feedback.
Skills
Python
Django
Reactjs
PostgreSQL
DynamoDb
AWS
BigQuery
HTML/CSS
Projects
Camprec
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Summary
Designed and built an online platform to facilitate college campus drives and student applications, streamlining recruitment processes using React, CSS, Node.js, Electron.js, and MongoDB.