Full Stack Engineer with 1+ years in Python, Django & Cloud
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Full-stack software engineer with 1+ year of hands-on experience building scalable, production-grade backend systems using Python, Django, REST APIs, and PostgreSQL for a national-grid government client. Proficient in Object-Oriented Programming (OOP), data structures, SQL and NoSQL databases, and web technologies (HTML, CSS, JavaScript). Experienced in translating business requirements into technical tasks, developing and integrating backend APIs with frontend applications, writing unit test cases, and contributing to Agile/Scrum ceremonies including code reviews and sprint planning. Exposure to cloud platforms (GCP), containers (Docker), and microservices. Continuously learning new technologies - currently developing expertise in Generative AI (OpenAI, LangChain) and GraphQL concepts.
N B Navale Sinhgad College of Engineering
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2023
Government Polytechnic
Diploma · Information Technology
August 1, 2017 – June 30, 2020
Grid Controller of India (SRLDC)
Python Developer Apprentice
March 1, 2025 – March 1, 2026
Bengaluru, Karnataka, India
Integrated Dashboard for Placement
June 25, 2026 – Present
Architected and delivered a full-stack placement management platform covering REST API design, PostgreSQL database schema, JWT-based authentication, and an interactive React.js frontend - feature development from business requirements through deployment. Implemented role-based access control (OOP-driven design) for admins, companies, and students; designed a normalized PostgreSQL schema for scalable, concurrent data access. Built real-time data visualizations in React.js; debugged and resolved cross-layer issues spanning API, database, and frontend end-to-end problem-solving across the full stack. Containerized the application using Docker for consistent local and deployment environments; applied best coding practices for performance and scalability.
REMC Data Point Generator
June 25, 2026 – Present
Built a Django web application to automatically generate REMC datapoints from substation and device metadata replaced entirely manual desktop workflows with a web-based upload/download system. Applied backend best practices: modular Python/Pandas code for automated Excel generation, custom device logic mappings, GUI-based file selection, and deployment to GCP for team-wide access.
Meter Data File Upload System
June 25, 2026 – Present
Developed a secure, role-scoped portal for weekly electricity meter data uploads; integrated backend APIs for station management and audit-ready file storage with strict permission boundaries. Implemented file type validation for .npc, .dat, .mri, and .rm3 formats; wrote test cases and debugged edge-case parsing issues to ensure reliability in production.
Python for Data Science & AI Development
Coursera
December 1, 2025 – Present
Full Stack Web Development with Django
Udemy
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from placement management to data point generation and meter data upload systems, shows adaptability and a broad interest in solving different types of problems. Their continuous learning (Generative AI, GraphQL) and exposure to various technologies align well with a dynamic, growth-oriented culture. The experience at a government national power grid operation suggests an ability to work in structured environments with critical systems.
Soft Skills & Operational Fit
The candidate actively participated in Agile/Scrum ceremonies, including code reviews, sprint planning, and retrospectives, demonstrating good team collaboration and operational fit. Their ability to translate business requirements into technical tasks and collaborate with senior engineers and cross-functional stakeholders indicates strong communication and teamwork skills.