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Software Engineer with 1+ years in Backend Development, CI/CD, Testing and AI/ML.
Backend-leaning software engineer with professional experience in safety-critical real-time systems, Python development, REST APIs, and CI/CD automation. Strong fundamentals in Python and Java, with hands-on experience shipping backend services and automation pipelines end to end. Actively exploring agentic and generative AI systems – eager to contribute to building AI-native backend products from the ground up. Comfortable in fast-moving environments, accustomed to breaking down complex problems, and motivated to grow alongside a high-calibre engineering team.
BNM Institute of Technology, Bengaluru
B.E. · Information Science
August 1, 2021 – June 30, 2025
Hindustan Aeronautics Limited (HAL)
Testing Engineer (Backend & Systems)
January 1, 2026 – Present
Bengaluru, Karnataka, India
National Aerospace Laboratories (NAL)
Software Engineering Intern
July 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
DevOps CI/CD Pipeline
January 1, 2025 – December 31, 2025
Built a fully automated CI/CD pipeline from scratch using GitHub Actions – designed and implemented the architecture end to end without prior templates, demonstrating ability to own backend infrastructure components independently. Containerised a Python application with Docker and configured automated build, test, and deployment stages – reducing manual deployment effort and ensuring consistent, reproducible releases. Integrated with AWS for deployment targets, gaining hands-on familiarity with cloud infrastructure and deployment pipelines – directly relevant to CommerceIQ’s AWS stack. Wrote pipeline configuration as code with clear documentation, reflecting the team’s value of clean, well-tested, well-documented engineering work.
Stock Tracker Application
January 1, 2024 – December 31, 2024
Built a production-style backend service integrating multiple live REST APIs to fetch, parse, and serve real-time stock data – end-to-end ownership of a backend component from design to delivery. Implemented robust JSON parsing, structured error handling, and API validation using Postman – ensuring the service behaved reliably under edge cases and API failures. Designed with scalability in mind: decoupled data fetching from processing logic, making it easy to swap data sources or extend functionality – clean, modular backend design.
Real-Time Image Animation with Voice Integration
January 1, 2024 – December 31, 2024
Developed a Python-based real-time processing application integrating computer vision (OpenCV) and speech recognition APIs – demonstrating ability to connect and orchestrate multiple backend services. Tested AI chatbot response accuracy across edge cases and inconsistent inputs – an early, hands-on exposure to evaluating and working with generative AI system outputs. Built and iterated on a GUI using Tkinter, applying product thinking to improve the end-user interaction – showing product sense alongside engineering execution.
Python Programming Certification
Udemy
June 11, 2026 – Present
AI Tools & ChatGPT Workshop
be10x
June 11, 2026 – Present
UiPath Certified Associate Developer
UiPath
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including CI/CD, REST APIs, and real-time image processing with AI, shows a broad interest in various technical domains. Their experience in safety-critical environments at HAL and NAL, coupled with personal projects demonstrating end-to-end ownership, indicates a strong work ethic and a commitment to quality. The stated interest in agentic and generative AI systems aligns with a forward-thinking culture. However, the candidate's experience level (1 year) and current role as a Testing Engineer, while valuable, might require a ramp-up period for a pure Software Engineer role, especially in a fast-moving product environment. The focus on testing and embedded systems, while rigorous, might mean less direct experience with scalable, distributed backend systems typical of a product company.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as cross-functional collaboration, technical documentation, and problem decomposition, which are essential for operational fit in an engineering team. Their experience in safety-critical environments suggests a meticulous approach to work, attention to detail, and a high standard for reliability, which aligns well with robust backend development practices. The candidate's proactive learning in AI and CI/CD indicates a growth mindset and adaptability.