Emotion Detection System
Summary
Developed an emotion detection system utilizing the Naive Bayes algorithm to analyze emotional cues, enhancing mental health awareness and support initiatives.
About
Work
Colt Technology Services
|Software Developer
Highlights
Optimized the database scheduler application by implementing multithreading, achieving a significant 84% reduction in processing time.
Collaborated with the pricing team to design and implement a dynamic discount system, integrating third-party providers into the pricing structure, which resulted in an increase of Rs. 187 Cr. in profits by expanding service reach to previously inaccessible markets.
Spearheaded the integration of Lumen's pricing system into our infrastructure, expanding our service reach across Central and South America.
Led the development of an account creation page with seamless third-party data integration from Dun & Bradstreet (D&B), implementing typeahead features and JWT authentication to enhance user experience and system security.
Designed a proposal generation system integrating multiple document types, streamlining pricing proposals and improving client delivery efficiency by 30 percent.
Lenskart.com
|Software Development Intern
Highlights
Developed and tested an API to optimize warehouse item placement using the Zone Picking algorithm, improving the Order Picking Rate to 200-300 picks per hour.
FLYZY
|Software Development Engineer Intern
Highlights
Designed and implemented APIs that handled live requests from over 4,000 users, ensuring high availability and performance.
Developed a robust Chat Support System for real-time user assistance, enhancing the customer experience.
Volunteer
Microsoft Mobile Management System
|President
Highlights
Led the technical club, organizing high-impact events like Treasuro, College Fest, and workshops, fostering creativity, collaboration, and skill development among students.
College Fest
|Head of Sponsorship
Highlights
Led sponsorship acquisition, securing key partnerships and funding for college events, ensuring the financial success of multiple initiatives through strategic negotiations.
Education
Jss Academy Technical Education, Noida
Btech.
Information Technology
Grade: 8.3/10
Little Flower School, Gorakhpur
High School
Grade: 8.9/10
Awards
Biweekly Leeetcode Challenge.
Awarded By
Leetcode
Ranked 909/12000+ in participants
CAT 2022
Awarded By
CAT
97.6 PERCENTILE.
NMAT 2022
Awarded By
NMAT
99.1 PERCENTILE.
Skills
Programming Languages
Java, Python, JavaScript, TypeScript.
Frontend Development
HTML, CSS, Angular.
Backend Development
Spring Boot, RESTful APIs.
Databases
MySQL, MongoDB, Oracle, Apache Solr.
DevOps & CI/CD
Jenkins, Docker, Kubernetes, Maven, Terraform.
Big Data & Analytics
Apache Kafka, Elasticsearch.
Version Control
Git, SVN.
Tools & IDEs
Visual Studio Code, STS, SQL Developer, Anaconda.
Testing Tools
Selenium, JUnit, Postman.
Security
OAuth 2.0, JWT, OWASP principles, SSL/TLS encryption.
Servers
JBoss, Tomcat.
Networking
DNS, TCP/IP, WebSockets, Load Balancing.
Interests
Hobbies & Interests
Swimming, Boxing, Anime, Nutrition Science, Investment, Research.
Projects
Flood Detector
Summary
Engineered an advanced flood prediction system leveraging machine learning techniques, including Random Forest and XGBoost algorithms, to analyze key environmental factors, improving flood risk prediction accuracy by 25 percent.