Mukesh

Mukesh Goyal
Full Stack Developer

H [открыть контакты](см. выше в блоке «контактная информация») # [открыть контакты](см. выше в блоке «контактная информация») Ñ Rajasthan, IND

Profile
Experienced Software Engineer with 5+ years of hands-on experience in software development, debugging, and system
integration. Proficient in Full Stack technologies (Python, Flask, Django, MongoDB, Express, Angular, NodeJS, .NET),
specializing in creating scalable and robust solutions. Adept at ensuring seamless user experiences through meticulous
attention to detail and deep understanding of technology intricacies. Committed to delivering high-quality results that
exceed client expectations.

Skills
• Frameworks: Flask - Django - Angular - Angular.js - .NET - Express.js - Socket.io

• Databases: MySQL - MongoDB - Elasticsearch

• Programming Languages: JavaScript - Python - TypeScript - C#

• Cloud Tools: Azure - Git - Docker - REST APIs - Microservices

Professional Experience
Software Engineer Noida, UP
ChemAnalyst 05/2025 - Present
• Contributing to the development of a cloud-based B2B SaaS platform providing real-time pricing, forecasting, and market
intelligence for chemical and petrochemical industries.
• Working with Angular and .NET Framework to deliver data-driven insights across 600+ commodities, helping businesses
optimize procurement strategies and reduce risks.
• Implementing features for enhanced decision-making through advanced analytics and reliable intelligence in a fast-paced, on-site
environment.
• Collaborating on the development of scalable solutions for real-time data processing and market intelligence visualization.
Full Stack Developer (Consultant) Noida, UP
E-solution Services Private Limited 04/2024 - 05/2025
• Spearheaded the development of a scalable Security Information and Event Management (SIEM) solution using Python,
Machine Learning, Angular, .Net, Express.js, MongoDB, and Elasticsearch, ensuring robust performance and flexibility.
• Developed advanced machine learning models for anomaly detection and predictive analysis, enhancing the system’s ability to
identify potential security breaches with greater accuracy.
• Implemented EDR (Endpoint Detection and Response) integration, enabling real-time monitoring and response to suspicious
endpoint activity across the network.
• Applied sophisticated algorithms for real-time log analysis and correlation, significantly improving the organization’s ability to
detect and respond to security threats promptly.
• Integrated a variety of security tools and technologies for comprehensive threat detection and management.
System Engineer Jaipur, RJ
Infosys Limited 07/2022 - 03/2024
• Utilized Full Stack technologies (Python, Machine Learning, AI, MongoDB, Express.js, Angular, and .Net) to develop dynamic
and responsive web applications for a retail execution project.
• Skilled in designing and implementing efficient database schemas using MySQL for data storage and retrieval in web applications.
• Developed RESTful APIs using Express.js to facilitate communication between front-end and back-end components of web
applications.
• Applied Full Stack expertise to develop a retail execution project, managing data and designing dashboards for enhanced
visualization and analysis.
• Created interactive and user-friendly interfaces using Machine Learning with features such as form validation and real-time data
updates to enhance user experience.
System Engineer Jaipur, RJ
Ascure Technologies 12/2020 - 06/2022
• Developed an online face detection application platform using Python, Machine Learning, AI, Angular, .Net, MongoDB,
Express.js, and Bootstrap.
• Implemented features including full application form, check image capture online with all checks like eyeglasses not wear and any
phone image is not allowed using Machine Learning Model and .Net.
• Created responsive and interactive user interfaces using Bootstrap.
• Utilized MongoDB to efficiently store and retrieve Image and person information.

Education
Bachelor of Technology Kota, Rajasthan
Rajasthan Technical University 2016-2020
Computer Science and Engineering (70 Percentage)