Software Developer | Computer Science Engineer | Aspiring Innovator
I am a Computer Science Engineering student at Parul University, Vadodara, expected to graduate in 2025. With a solid foundation in Software Development and a passion for technology, I have developed skills in various programming languages, frameworks, and tools. My focus is on creating efficient, scalable, and user-friendly software solutions.
- BTech in Computer Science Engineering
CGPA: 7.77
- Programming Languages: C, C++, Python, Java, JavaScript
- Web Development: HTML, Bootstrap, TailwindCSS, React, Node.js, Express.js, Next.js, jQuery, Angular
- Databases: MongoDB, MySQL, FirebaseDB, Redis
- Development Tools: Git, GitHub, AWS, Docker, IntelliJ IDEA, VS Code, Eclipse IDE, Postman
- Frameworks & Libraries: React.js, TailwindCSS, Next.js
Developed a secure intern dashboard application to enhance intern experience and management.
Implemented Firebase Authentication for secure login and MongoDB for data storage.
Enhanced user interface using Next.js and TailwindCSS.
Key Technologies: Next.js, TailwindCSS, MongoDB, Postman
- Start Date: January 2, 2025
- Present
- Frontend: Angular, jQuery
- Backend: C#, .NET
- Database: PostgreSQL, Redis
- Search & Analytics: Kibana, Elasticsearch
- Messaging & Communication: RabbitMQ
- Programming Languages: Erlang
As a Software Engineer Intern at Casepoint, I work on developing and maintaining features for various applications using a wide range of technologies. My primary responsibilities include:
- Developing dynamic, responsive user interfaces using Angular and jQuery.
- Ensuring cross-browser compatibility and optimizing the frontend for performance and user experience.
- Building scalable backend services using C# and .NET.
- Implementing efficient and reliable APIs to support frontend functionality.
- Designing and maintaining PostgreSQL databases for storing and querying data.
- Integrating and managing Redis for caching to improve application performance.
- Using Elasticsearch for advanced search capabilities within applications.
- Analyzing logs and application performance with Kibana to ensure smooth operations and identify issues proactively.
- Working with RabbitMQ for managing asynchronous messaging and improving system scalability.
- Writing and debugging Erlang code for certain backend components.
My-Book-Store (July 2022 – May 2023)
- Developed a platform for users to buy and sell used books.
- Integrated a recommendation engine for personalized suggestions.
- Implemented secure transactions and a messaging feature for book requests.
- Key Technologies: React.js, Node.js, Express.js, MongoDB, FirebaseAuth, Docker
(June 2023 – Present)
Part of the Smart India Hackathon, I developed the E-Waste Trade Hub platform designed to facilitate seamless transactions between buyers and sellers of electronic waste. The platform allows sellers to upload e-waste details and photos, and buyers can express interest by sending a price offer. If the seller accepts the offer, a notification is sent to the admin for further processing.
Key Features Added:
- Multi-tier Authentication System: Implemented a secure authentication system for buyers, sellers, and administrators using Firebase Authentication and JWT tokens.
- Multilingual Support: Integrated multilingual support to allow users to interact with the platform in various languages, including English, Hindi, Gujarati, and others, improving accessibility for a diverse audience.
- Live E-Waste Tracking: Enabled live tracking of e-waste collection, providing users with real-time updates about their orders.
- Seller Recommendations: Introduced an algorithm that recommends the best prices for sellers based on ongoing market trends and buyer offers.
Newly Added Features:
Raise Ticket for Issues:
Users can now raise a ticket if they encounter any issues with the website, such as problems with transaction processing, account issues, or technical glitches. The ticketing system allows users to:- Generate a ticket detailing their issue (with priority levels: Low, Medium, High).
- Attach screenshots or documents for further clarification.
- Track the status of their ticket (Open, In-Progress, Resolved).
- Admins and support staff can view, respond to, and resolve tickets efficiently.
Implementation:
- Users can fill in a simple form describing their issue, selecting the issue type (e.g., technical, transaction, account), and attaching relevant files.
- The backend uses Node.js and MongoDB to store and manage tickets.
- Admins receive real-time notifications when a new ticket is generated and can respond with resolutions or requests for more details.
E-Waste Chatbot for Query Resolution:
A chatbot feature has been integrated to assist users with e-waste-related queries, such as:- How to recycle specific electronic items.
- Understanding the pricing trends in the e-waste market.
- How to sell e-waste or find the best buyers.
- Guidelines for proper e-waste disposal.
The E-Waste Chatbot:
- Uses natural language processing (NLP) to understand and respond to user queries in real-time.
- Offers suggestions, answers frequently asked questions, and provides step-by-step guides for common tasks.
- Can escalate to a live support agent if the query is complex or requires human intervention.
Implementation:
- The chatbot is built using Dialogflow and Node.js, integrating with the front-end via a simple chat interface.
- It provides users with a smooth conversational experience, and its backend is capable of learning from interactions to improve its responses over time.
Key Technologies:
React, Node.js, Express, MongoDB, TailwindCSS, Docker, AWS, jQuery, Redis, Firebase Authentication, Dialogflow, NLP, Ticketing System
Future Plans:
- Enhanced AI: Plan to enhance the chatbot with more advanced AI capabilities to answer a wider variety of user questions.
- Mobile App Integration: Extend the platform with a mobile app for easier access to e-waste trading, ticket management, and chatbot interaction.
- Gamification: Introduce reward points for users who actively participate in e-waste trade or recycling, which can be redeemed for discounts or services.
- LeetCode: Achieved a highest rating of 1833 (4 stars) with a global rank of 2063.
- Code Debugging: Finalist in a competition with over 10,000 participants.
- SSIP Certificate: Recognized by Parul University for exceptional project ideas for a startup.
- Email:agrawalharsh1028@gmail.com
- LinkedIn:linkedin.com/in/harsh2810
- GitHub:github.com/harsh6754
