Pankaj Kumar Gond - ATS Resume

Professional Summary

Experienced Full-Stack Developer with 3+ years at Tata Consultancy Services, specializing in government and enterprise platform development. Expert in React.js, Java, Spring Boot, AWS, and CI/CD methodologies. Proven track record in building scalable, event-driven microservices and driving architectural improvements. Achieved 30% reduction in release cycles, 20% improvement in API performance, and recognized for leading cross-functional initiatives that enhanced system reliability and user experience.

Technical Skills

Frontend: React.js, Redux, Redux Toolkit, Angular, JavaScript ES6+, HTML5, CSS3, Responsive Design

Backend: Java, Spring Boot, Spring Framework, Node.js, RESTful APIs, Microservices

Databases: MySQL, IBM DB2, Amazon RDS, Database Design, Query Optimization

Cloud & DevOps: AWS (S3, Lambda, SQS), Google Cloud Platform, Jenkins, GitLab CI/CD, Docker

Tools & Methods: Git, GitHub, GitLab, Postman, Jira, SonarQube, Fortify, Agile, Scrum

Architecture: Event-Driven Systems, API Design, Performance Optimization, Code Review

Professional Experience

System Engineer

Tata Consultancy Services (TCS)

New Delhi, India | July 2022 – Present

Technologies: React.js, Java, Spring Boot, MySQL, AWS, GCP, GitLab, Redux, REST APIs

Developed and maintained full-stack applications with optimized RESTful APIs, achieving 20% reduction in response latency through performance tuning and database optimization
Built modular notification engine supporting multiple delivery channels (email, SMS, push) using React.js, Redux Toolkit, and event-driven architecture
Integrated cloud services with AWS (S3, Lambda, SQS) to enable scalable, fault-tolerant microservices architecture supporting high-volume government transactions
Automated CI/CD pipelines using Google Cloud Platform and GitLab, improving deployment efficiency and reducing release cycles by 30%
Collaborated with cross-functional teams in Agile environment to deliver features meeting functional requirements and quality standards
Conducted code reviews and implemented best practices, resulting in 25% reduction in production bugs

Key Projects

Neural-ARM: AI-Powered Association Rule Mining - Lead Researcher & Developer

Academic Research Project: Dr. A.P.J Abdul Kalam Technical University

Technologies: Python, TensorFlow, Keras, NumPy, Pandas, Jupyter Notebooks, Neural Networks, Data Mining

Developed innovative artificial neural network approach for accelerated Association Rule Mining using denoising autoencoders
Achieved significant performance improvement over traditional ARM algorithms (Apriori, FP-Growth) while maintaining rule quality
Published 2 peer-reviewed research papers: IJRASET (2022) and River Publishers book chapter (2022)
Implemented comprehensive comparative analysis demonstrating reduced execution time and improved scalability
Created end-to-end machine learning pipeline with data preprocessing, model training, and association rule extraction

Government e-Marketplace (GeM 2.0) - React Developer

Client: Ministry of Commerce, Government of India

Technologies: React.js, Redux, REST APIs, GitLab CI/CD, Microservices

Developed comprehensive notification module supporting email, SMS, and in-app notifications using React.js and Redux Toolkit
Integrated secure REST APIs with authentication and authorization mechanisms for government procurement platform
Collaborated with backend teams to design API contracts and ensure seamless data flow across microservices
Participated in Agile ceremonies and delivered features within tight government project timelines

NYSDOL UI Modernization - Full Stack Developer

Client: New York State Department of Labor, USA

Technologies: Java, Angular, Spring Boot, MySQL, Jenkins, IBM DB2

Contributed to modernization of New York State's unemployment insurance portal, serving thousands of citizens daily
Developed responsive Angular components integrated with Spring Boot backend services and MySQL databases
Led proactive debugging initiatives and comprehensive code review processes, reducing system downtime by 25%
Implemented automated testing strategies ensuring high code quality and system reliability

Virtual Lab Development - Frontend Developer

Client: Ministry of Education, India (AKTU/IIT Kanpur)

Technologies: Html/css, JavaScript, Educational Technology Platforms

Developed interactive React-based virtual laboratory platform used by 10,000+ students across India during COVID-19 pandemic
Created engaging educational modules with simulation capabilities for engineering and science subjects
Collaborated with academic institutions to ensure platform met educational standards and accessibility requirements
Received Gold Developer Certificate for outstanding national contribution under IIT Kanpur and Ministry of Education

Education

Bachelor of Technology in Information Technology

Dr. A.P.J. Abdul Kalam Technical University, Lucknow | 2018 – 2022 | CGPA: 7.62/10

Certifications

AWS Certified Cloud Practitioner - Amazon Web Services
Microsoft Azure Fundamentals (AZ-900) - Microsoft

Achievements & Awards

Best Team Award - Tata Consultancy Services (2023)
Golden Developer Certificate - IIT Kanpur & Ministry of Education (2021)
On-The-Spot Awards (2x) - Tata Consultancy Services (2022, 2023)
Published research papers on Association Rule Mining algorithms:
• "Association Rule Mining using FP-Growth and ANN Techniques" - IJRASET Journal (2022)
• "Advanced Techniques in Association Rule Mining" - River Publishers Book Chapter (2022)