Available to hire
Software Engineer specializing in backend systems, full-stack development, and scalable product building. I focus on building reliable, production-ready applications with clean architecture and strong performance.
Currently building JJEngine, a distributed systems project designed for real-world engineering challenges. I work with Rust, JavaScript, TypeScript, Kotlin, and modern backend technologies, with strong interest in system design, APIs, automation, and developer tooling. I value practical problem-solving, clear communication, and building products that create real impact. Open to freelance projects and long-term collaborations.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Hindi
Intermediate
Malayalam
Fluent
Arabic
Intermediate
Work Experience
Software Engineer at Cisco
August 1, 2024 - PresentLed the engineering and deployment of 3 critical features for products like Instant Connect Client and App Hub within the Webex Suite, enhancing user experience and product functionality by 10%. Resolved 4 complex bugs and optimized core modules across Webex Slack Bot and MS Teams Client, improving system stability by 8% and reducing user-reported issues by 4%. Optimized a legacy codebase to achieve a 25% reduction in latency and processing time under aggressive deadlines while upholding stringent coding standards. Streamlined project delivery by assuming ownership and leading 2 critical projects previously managed by other teams, accelerating development cycles by 15% through proactive cross-functional collaboration. Proficient in a full-stack JavaScript environment including React.js, Node.js, and Express.js to develop scalable and efficient solutions. Employed Jest and Cypress to establish robust testing frameworks, ensuring code quality and stability. Managed development workflows
Software Engineering Expert at Alignerr
August 1, 2025 - PresentEvaluated and labeled AI-generated code outputs in JavaScript, TypeScript, and Python, ensuring correctness, efficiency, and adherence to software engineering best practices. Performed in-depth code review and quality assessment of LLM-generated solutions, identifying logical errors, edge cases, and performance bottlenecks across 500+ data samples. Developed custom Python scripts and automation tools to streamline data validation workflows, reducing manual review time by 30%. Authored high-quality prompt-response pairs and reference solutions in JavaScript/TypeScript and Python to improve model training data for code generation tasks. Collaborated with cross-functional AI research teams to define labeling guidelines and quality benchmarks, contributing to measurable improvements in model output accuracy.
Education
Bachelor of Science in Computer Science at Kannur University
August 1, 2019 - May 1, 2023Bachelor of Science in Computer Science at Kannur University
August 1, 2019 - May 1, 2023Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Telecommunications, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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