PANKAJ KUMAR GOND
📍 New Delhi |## PROJECTS
**Neural-ARM: AI-Powered Associ## CERTIFICATIONS & HONORS
AWS Cloud Practitioner | AZ-900 | CNSS Certified
2× On-the-Spot Award (TCS) | Best Team Award | Gold Developer Certificate
Research Publications:
- Association Rule Mining using FP-Growth and ANN Techniques (IJRASET, 2022)
- Advanced Techniques in Association Rule Mining (River Publishers, 2022) Rule Mining**
Lead Researcher & Developer | Jan 2021 – Jun 2022
Tech: Python, TensorFlow, Keras, Neural Networks, Data Mining
Developed innovative ANN-based approach for accelerated ARM with denoising autoencoders. Published 2 peer-reviewed research papers demonstrating significant performance improvements over traditional algorithms.
GeM 2.0 – Government e-Marketplace
Senior UI Developer | Dec 2024 – Present
Tech: React.js, Redux Toolkit, GitLab, Jenkins, SonarQube
Built a robust notification module with real-time UI, secure deployment, and reusable components.
NYSDOL UI Modernization
Frontend Developer | Aug 2022 – Dec 2023
Tech: Angular, Spring Boot, GCP
Enhanced performance and accessibility of NY state's labor portal; led key module delivery.
Virtual Lab Platform – IIT Kanpur
Frontend Developer | Jul 2020 – Sept 2020
Tech: Html, Css, JavaScript 578 | ✉️ [email protected]
🌐 erpankaj.netlify.app | 💼 GitHub
Full-Stack Developer at TCS with 2+ years of experience building scalable web applications using React.js, Angular, Java, Spring Boot, and CI/CD pipelines on AWS/GCP. Recognized for optimizing performance, improving delivery cycles, and contributing to high-impact government tech platforms.
Frontend: React.js, Redux Toolkit, Angular, HTML, CSS, JavaScript
Backend: Java, Spring Boot, Node.js Databases: MySQL, IBM DB2
DevOps & Cloud: GitLab CI/CD, Jenkins, SonarQube, Fortify, GCP, AWS
Tools: Git, GitHub, Postman, Figma, VS Code
Tata Consultancy Services (TCS)
System Engineer | Jul 2022 – Present
- Led UI development for GeM 2.0's Notification module using React.js + RTK Query.
- Built scalable frontend architecture and secured CI/CD workflows via GitLab & Jenkins.
- Contributed to NYSDOL portal modernization using Angular & Spring Boot.
- Improved API performance by 20%, and reduced downtime by 25%.
- Recognized with 2× On-the-Spot Awards and a Best Team Award.
GeM 2.0 – Government e-Marketplace
Senior UI Developer | Dec 2024 – Present
Tech: React.js, Redux Toolkit, GitLab, Jenkins, SonarQube
Built a robust notification module with real-time UI, secure deployment, and reusable components.
NYSDOL UI Modernization
Frontend Developer | Aug 2022 – Dec 2023
Tech: Angular, Spring Boot, GCP
Enhanced performance and accessibility of NY state’s labor portal; led key module delivery.
Virtual Lab Platform – IIT Kanpur
Frontend Developer | Jul 2020 – Sept 2020
Tech: Html, Css, JavaScript
Built 3 remote lab simulations during COVID, used by 10,000+ students; earned Gold Developer Certificate.
B.Tech – Information Technology
Dr. A.P.J Abdul Kalam Technical University, Lucknow | 2018–2022
CGPA: 7.62/10
AWS Cloud Practitioner | AZ-900 | CNSS Certified
2× On-the-Spot Award (TCS) | Best Team Award | Gold Developer Certificate
2 Research Papers on Association Rule Mining
This portfolio includes an optimized resume system designed for maximum ATS (Applicant Tracking System) compatibility:
- PDF Generation: Automatically generates ATS-optimized PDF using Puppeteer
- Clean Formatting: Simple, machine-readable layout without graphics or complex formatting
- Keyword Optimization: Strategic placement of relevant technical keywords
- Standard Fonts: Uses web-safe fonts (Inter, Arial) for universal compatibility
- Proper Structure: Semantic HTML structure with clear headings and sections
public/Pankaj_Kumar_Gond_Resume.pdf- ATS-optimized PDF versionpublic/resume-ats.html- Clean HTML source for PDF generationscripts/generate-pdf.js- Automated PDF generation script
To update the resume content and regenerate the PDF:
- Edit the content in
public/resume-ats.html - Run the generation script:
or use the platform-specific scripts:
npm run generate-resume
# Unix/Linux/Mac ./regenerate-resume.sh
- ✅ No headers/footers that ATS systems can't parse
- ✅ Standard section headings (Experience, Education, Skills)
- ✅ Clean bullet points and consistent formatting
- ✅ No images, graphics, or complex tables
- ✅ Proper text hierarchy with semantic HTML
- ✅ Keywords placed strategically throughout content
- ✅ Contact information clearly formatted at the top
This ensures maximum compatibility with modern hiring systems while maintaining professional presentation.