Abhinav Saxena

Abhinav Saxena

B.Tech/B.E. Student

GhaziabadSoftware Development
2roles
33skills
4education

About

B.Tech/B.E. student with proficiency in HTML, CSS, JavaScript, React.js, Node.js, MongoDB, Python, machine learning, and artificial intelligence. Seeking opportunities to contribute to innovative projects and organizational growth.

Experience

Full Stack AI Developer

Techly Assist

11 mos · India

1. Development of AI automated tools using LLM APIs and Python services. 2. Development of AI based Voice Avatar and Text Chatbot integrated in React + JavaScript/Typescript. 3. Development of Maps using Leaflet.js and Mapping Mathematics functions to gather areas and other captures. 4. Working on emerging Blockchain technology and development of Trading agent which trains automatically and trades on behalf of user.

Full-stack Developer

The Inceptioners

4 mos

• Worked with Senior Developers and designers to implement frontend using React.js. • Wrote production ready code with fluency in modern web frameworks along with testing. • Learned new emerging technologies and took initiative to offer technical direction and creative solutions.

Education

Krishna Institute of Engineering and Technology, Ghaziabad, Ghaziabad

B.Tech/B.E., Electronics/Telecommunication

Score: 7.5%

CBSE

Class XII

Passed in 2022

Score: 85%; Medium: English

CBSE

Class X

Passed in 2020

Score: 92%; Medium: English

KIET Group of Institutions

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

2022 - 2026

Skills

HTMLCSSJavascriptReact.jsNode.jsMongoDBAngularjsRest API DesignGITGithubBootstrapPythonMachine LearningArtificial IntelligenceNext.jsExpress.jsArtificial Intelligence (AI)DatabasesLanggraphAI automationSecure Shell (SSH)MERN StackLarge Language Models (LLM)FirebaseApplication Programming Interfaces (API)ClerkPrism.jsGoogle GeminiTailwind CSSBootstrap (Framework)ShadcnSQLPython (Programming Language)

Projects

YouTube Clone

Developed and implemented a streamlined UI/UX design, resulting in a 20% increase in user engagement. Integrated advanced search functionality, leading to a 15% improvement in search accuracy.

A human face recognition robot for College Internal Hackathon

Developed a human face detection robot using image processing to obtain user information and work according to signs without hitting obstacles.

Plans24

Plans24 is a full stack web application that empowers travelers to create detailed, customized trip itineraries effortlessly. With a sleek, intuitive landing page and a straightforward trip creation flow, users can quickly plan their dream vacations in minutes.

Deepseek AI Clone

DeepSeek AI Clone is a modern, full-stack AI-powered chat application inspired by the design and experience of platforms like ChatGPT and DeepSeek. This project demonstrates how to seamlessly integrate advanced language models (via Google’s Gemini API) with robust user authentication (via Clerk) and persistent chat history using MongoDB. The app is built with a modular architecture using Next.js 13 App Router, enabling scalable and efficient rendering on both the client and server.

ReliefCare

ReliefCare is an advanced doctor appointment booking application developed using the MERN stack (MongoDB, Express.js, React.js, Node.js). The application aims to streamline the healthcare experience by allowing patients to find doctors nearby, book appointments, and engage in online consultations—all from the comfort of their homes. The core concept addresses real-life challenges faced by patients, such as long hospital queues and complex appointment procedures.