Arpit Khare
Full-Stack MERN Developer
Specializing in MERN stack with expertise in backend development, system integration, automation, and cybersecurity solutions.
About Me

Full-Stack Developer with Enterprise Experience
With 3+ years of experience specializing in the MERN stack (MongoDB, Express.js, React.js, Node.js), I have a strong foundation in backend development, system integration, and automation.
I have a proven track record in building scalable applications for enterprise environments, including Breach Attack Simulation Systems, MDM systems, and RESTful APIs. I am experienced in deploying and managing apps on both Linux and Windows servers using Docker, Nginx, and IIS.
My expertise extends to handling authentication (LDAP), chatbot development (LangChain, NLP), and Python-based automation for data extraction and cybersecurity. I am passionate about developing high-performance web applications and delivering end-to-end solutions tailored to business needs.
Skills & Expertise
A comprehensive set of technical skills acquired through professional experience and continuous learning.
Frontend Development
- React.js
- Redux
- Tailwind CSS
- Bootstrap
- HTML
- CSS
- JavaScript
Backend Development
- Node.js
- Express.js
- REST APIs
- Flask
- Kafka
- LDAP Authentication
Database
- MongoDB
- PostgreSQL
- MSSQL
- SQL
Programming Languages
- JavaScript
- Python
- SQL
- HTML
- CSS
- C#
DevOps & Deployment
- Docker
- GitHub Actions
- Nginx
- DigitalOcean
- Netlify
- Git
- GitHub
- IIS
- Linux
- Windows Server
Tools & Platforms
- Postman
- VS Code
- Visual Studio
- Certificate Manager
- Selenium
AI & Machine Learning
- OpenAI API
- TensorFlow
- Hugging Face
- Llama
- NLP
- Machine Learning
- BERT
- Sentiment Analysis
Soft Skills
- Team Collaboration
- Time Management
- Adaptability
- Problem Solving
Featured Projects
A selection of projects that showcase my technical skills and problem-solving abilities.

Breach Attack Simulation Tool
Developed a tool to automate red team tasks for Endpoint Assessment and Email Phishing Attacks, enhancing cybersecurity testing capabilities.

Mobile Device Manager (MDM)
Built an MDM solution for Android to manage Reliance Retail Stores POS Devices, successfully deployed across 1800 retail store devices.

Cybersecurity Awareness Chatbot
Created an intelligent chatbot using LangChain and NLP, trained on organizational security policies to provide instant policy-related information.

LDAP Authentication API
Developed a RESTful API for LDAP authentication for devices with Reliance Active Directory.

DLP Integration Agent
Built a Python agent to capture & reconstruct outbound emails from packet data for DLP integration with Ironport & ZScaler.

Learning Management System
A Udemy-like portal where teachers can sell their video courses and students can attend lessons.

Cricket GPT
An LLM-powered chatbot designed to serve as an assistant for comprehending and analyzing cricket match summaries.

Waste Management Analytics Dashboard
Developed an analytics dashboard for waste management using sentiment analysis techniques.
Experience & Education
My professional journey and educational background.
Work Experience
Full Stack Developer
Reliance Jio
Working on enterprise-level applications for cybersecurity, device management, and authentication systems.
Key Achievements:
- Developed a Breach Attack Simulation Tool to automate red team tasks for Endpoint Assessment and Email Phishing Attacks using Node.js, Express, React and Postfix server
- Developed a Mobile Device Manager (MDM) for Android to manage Reliance Retail Stores POS Devices, rolled out for 1800 devices
- Deployed the MDM solution for RCP Campus Security, optimizing employee attendance tracking
- Developed a Cybersecurity Policy Awareness Chatbot using Langchain and NLP
- Developed a REST API for LDAP authentication for devices with Reliance Active Directory
- Built a Python-based agent to capture and reconstruct outbound emails from packet data for DLP integration
- Managing application deployment using Linux and Windows servers on Nginx, Docker and IIS
Software Engineer Intern
AMD
Worked on data engineering, automation, and sentiment analysis projects for product reviews and social media coverage.
Key Achievements:
- Developed 60+ Automation Scripts in Python and Selenium to extract product reviews from different community forums
- Developed around 20 ETL scripts as part of Data Engineering activities using Python and SQL
- Performed Sentiment Analysis on AMD, Intel and Nvidia Products using TensorFlow and BERT
- Built the Social Media Coverage Dashboard for AMD in PowerBI
- Developed Email Alert Automation for failing ETL scripts using Python and Microsoft Graph API
Research Intern
IIT Roorkee
Conducted research in natural language processing and data visualization.
Key Achievements:
- Developed an Automatic Linguistic Summarizer for clustering results using Python and Matplotlib
Education
M.Tech. in Computer Science and Engineering
NIT Jamshedpur
Focused on machine learning, database management systems, and data structures.
Achievements:
- GPA: 8.5/10
- Developed the Waste Management Analytics Dashboard using Sentiment Analysis, Python and React
- Coursework: Machine Learning, DBMS and Data Structures
Publications
Academic Research
Published multiple research papers in international conferences.
Achievements:
- Sentiment Analysis & Sarcasm Detection of Loksabha Election Tweets-2014 (ANTIC-2021)
- Email Assistant: Automation of E-Mail Handling & Management using Robotics Process Automation (DASA)
- Linguistic Protoform Based Summarization of Clustering Results (ICECCME)
Publications
My research contributions to academic conferences.
Sentiment Analysis & Sarcasm Detection of Loksabha Election Tweets-2014
International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2021)
Arpit Khare, Sudhakar Singh, et al.
View PublicationEmail Assistant: Automation of E-Mail Handling & Management using Robotics Process Automation
International Conference on Decision Aid Sciences & Applications (DASA)
Arpit Khare, Sudhakar Singh, et al.
View PublicationLinguistic Protoform Based Summarization of Clustering Results
International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Arpit Khare, Dheeraj Kumar, et al.
View PublicationGet In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!
arpitkhare33@gmail.com
Phone
+91 8355882315
Location
Mumbai, India