About
Aspiring Software Development Engineer with hands-on experience in building scalable backend applications, full-stack MERN solutions, and AI/ML-driven features. Proven ability to enhance system performance, improve user engagement, and deliver robust software solutions, including a customer-facing chatbot and an advanced notification system for over 100 million users. Eager to leverage strong technical skills and problem-solving abilities to contribute to cutting-edge development initiatives.
Work
Times Internet
|Software Development Engineer (SDE) Intern
Noida, Uttar Pradesh, India
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Summary
Engineered scalable backend applications and optimized notification systems for over 100 million users, integrating AI/ML and multithreading for enhanced performance and reliability.
Highlights
Engineered scalable backend applications using Java and Spring Boot, implementing robust RESTful APIs and microservices to significantly enhance system performance and reliability.
Optimized and scaled the notification system for Times of India and NewsPoint apps, ensuring personalized content delivery to over 100 million users across various regional language platforms.
Conducted sentiment analysis and topic modeling on Times of India news articles leveraging NLP, machine learning, and LLMs to extract actionable insights, informing content strategy.
Implemented multithreading for concurrent notification delivery across Android, iOS, and Web platforms, significantly enhancing system performance and scalability.
Designed and implemented comprehensive RESTful CRUD APIs for critical modules, including Segments, DeepLinks, and Notification Requests, streamlining data management and service integration.
BSES Rajdhani Power Limited
|Software Development Engineer (SDE) Intern
Delhi, Delhi, India
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Summary
Collaborated on designing and deploying a customer-facing chatbot using the MERN stack, significantly improving digital experience and reducing response times for over 1,500 daily users.
Highlights
Collaborated on the design and implementation of a customer-facing chatbot for the BSES Rajdhani Power Limited website, enhancing the digital experience for over 1,500 daily users.
Integrated RESTful APIs into the chatbot to efficiently handle billing inquiries and service requests, reducing average response times by 10% and significantly increasing customer satisfaction.
Built and deployed the MERN stack-based chatbot, processing over 40,000 user interactions monthly and ensuring robust performance.
Education
Netaji Subhas University of Technology, Delhi
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Bachelor of Technology
Computer Science Engineering (Data Science)
Grade: CGPA: 8.15
Bal Bhavan Public Sr Sec School, Delhi
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Class XII
Senior Secondary
Grade: Percentage: 95.80
Awards
Amazon ML Summer School Participant
Awarded By
Amazon
Selected among over 50,000 applicants to participate in the prestigious Amazon ML Summer School 2024, recognizing high potential in machine learning.
Leetcode Contest Rating
Awarded By
Leetcode
Solved over 1000 problems on Leetcode and achieved a maximum Leetcode Contest Rating of 1775 (Top 8.62%), showcasing exceptional problem-solving and algorithmic skills.
JEE Mains Rank
Awarded By
National Testing Agency (NTA)
Secured an All India Rank (AIR) of 6735 in JEE Mains with a 99.36 percentile, demonstrating strong aptitude in engineering entrance examinations.
Skills
Languages
C/C++, SQL, Python, JavaScript, HTML, CSS, Java.
Frameworks
React.js, Node.js, Spring Boot, Express.js.
Core Computer Science
Object Oriented Programming System (OOPS), Operating System (OS), Database Management System, Data Structures and Algorithms (DSA).
Machine Learning & AI
Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), Sentiment Analysis, Topic Modeling, OpenAI API.
Cloud & DevOps
Apache Kafka, Cloudinary, Microservices, RESTful APIs, Multithreading, Error Handling.
Full-Stack Development
MERN Stack, Frontend Development, Backend Development, Customer-facing Chatbot Development.
Tools & Technologies
JSON Web Token (JWT), MongoDB.