JavaScriptNode.jsExpress.jsGitAngular

• Led full-stack development, covering Angular for front-end and Node.js/Express.js for back-end.
• Utilized JavaScript, MySQL, and integrated Ant Design for UI and SwiperJS for dynamic carousels.
• Established a robust backend architecture, implemented secure input validation (Joi), and ensured authentication with JWT.
• Published on GitHub and deployed on both Render and Vercel platforms.

JavaScriptNode.jsExpress.jsGitNext.jsWhatsApp Business API

• Created a Chatbot, from training to deployment, exclusively utilizing Simple. This achievement showcases our ability to develop an intent-based chatbot using JavaScript, without relying on Python.
• Developed a Rest API for this chatbot model using Express.js.
• Integrated the WhatsApp Business API to enable the availability of a chatbot on WhatsApp.
• Designed a Chatbot UI/UX using Next.js and seamlessly integrated it with ChatBot REST APIs.
• Published on GitHub and deployed on both Render and Vercel platforms.

JavascriptCSSReactJsNextJs

• Created a Next.js personal portfolio, aiming for top SEO performance while showcasing skills and projects.
• Designed clean, minimalistic UI with pure CSS for a lightweight, user-friendly website without bulky CSS frameworks.
• Utilized Firebase as a database to collect contact details for those interested in connecting with me.
• Integrated Chatbot into Responsive UI for mobile compatibility, optimizing SEO for a dynamic personal portfolio project.
• Published on GitHub and deployed on Vercel.

Associate software engineer

• Developed a video conferencing solution by integrating Express.js and WebRTC, resulting in a 10% increase in real-time collaboration and communication capabilities for remote business interactions and client engagement.
• Directed the end-to-end creation of CogoVerse, a groundbreaking Chatbot for both WhatsApp and the Web platform. Utilizing NLP, PyTorch, and FastAPI. This initiative led to a remarkable 40% increase in user engagement and a substantial 20% reduction in customer support requests, significantly improving customer satisfaction and operational efficiency.
• Engineered CogoOne, an Omni-Channel system, leveraging cutting-edge technologies like FastAPI, Firebase, and Next.js, to expand Cogoport's footprint across diverse social media platforms. Our Chatbot seamlessly integrates with WhatsApp, Telegram, Zalo, and email, effectively driving lead generation, assisting users in obtaining shipment rates, and facilitating service bookings. The remarkable outcome: a substantial monthly revenue surge of $1 million, showcasing the tangible impact of our innovative approach.
• Collaborated on a Voucher Integration system for Cogoport users, enabling them to buy vouchers with Cogoport Currency. Leveraging ROR, Next.js, and PostgreSQL, this system simplified voucher acquisition, resulting in a 10% boost in customer engagement and voucher purchases
• Implemented a P2P Video Call with Screen Sharing using WebRTC and WebSocket technologies to assist users in booking shipments through the Cogoport platform with the guidance of Cogoport agents. - Next.js, PeerJs, Firebase
• Designed a Segmentation System with a Cogoport User filter, enhancing targeted campaign management. This system streamlined communication and pinpointed potential leads for our business teams, leading to a notable 30% boost in campaign conversion rates. Key technologies applied were ROR, Next.js, and PostgreSQL
• Developed a Proof of Concept (POC) for a Python-based Chat Server utilizing WebSocket technology. This Chatbot-enabled server offers real-time chat capabilities, ensuring an omnichannel support experience - Next.js, SocketIO, Flask, Fast API, Firebase

Postgraduate Researcher, Under Dr. Ashok Singh Sairam

• Thesis Title: Identifying Toxic Text in Social Media (Twitter)
• Project Objective: Through extensive research, we identified and implemented highly efficient Sentiment analysis algorithms for Twitter data. This initiative resulted in a 5% improvement in sentiment accuracy, enabling more precise emotional analysis in social media content. This, in turn, facilitated better-informed decision-making and strategy development for our team.
• Skill: Natural Language Processing (NLP), Machine Learning, Deep Learning, and Transformers.

Front End Developer Intern

• Worked with teams for responsive web apps, ensuring cross-device compatibility.
• Designed user interfaces using HTML, CSS, and JavaScript, with a focus on modern UI/UX principles
• Created animated content using ScrollReveal.js to engage users and enhance website interactivity.
• Employed Typed.js to add dynamic and engaging typed text effects to web pages.