V HRISHIKESH KUMAR
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.