Software EngineerHola I'm
Hola I'm
Kanhaiya Bhayana
Software Engineer with 4 years of experience designing scalable backend systems and AI-powered applications. I enjoy building production-ready software that solves real engineering problems-from financial platforms and distributed microservices to intelligent automation tools. Passionate about clean architecture, system performance, cloud technologies, and creating developer experiences that make teams faster and software more reliable. I believe in continuously learning, experimenting with emerging technologies, and building projects that create real-world impact beyond the workplace.
Research Paper
Years of experience
Projects completed
Worked on technologies
Code commits
My Developer Journey
Software Engineer
Wissen Technology (Client – Macquarie Global)
- Contributed to front-office analytics platforms supporting 100+ daily users by designing backend services for financial risk analysis and regulatory reporting systems.
- Designed and enhanced services for trade exposure aggregation and capital calculations, processing millions of records daily and improving reporting accuracy.
- Developed and optimized business logic for financial capital computation and risk aggregation workflows, reducing report generation time by 25%+.
- Implemented scheduled batch processing pipelines handling 500K+ financial records per day, ensuring timely data ingestion, transformation, and alerting.
- Participated in migration of 10+ legacy services to cloud-ready microservices, improving deployment efficiency and system maintainability.
- Architected and implemented an AI-driven data quality framework that automated validation of 100K+ scraped records, reducing manual review effort by 70%.
AI Hackathon – ScrapGuard DQ
Macquarie AI Hackathon
- Built ScrapGuard, an AI-powered Data Quality platform that validates scraped datasets using deterministic rules, statistical anomaly detection, and a LangGraph-based AI agent with RAG.
- Developed a Streamlit dashboard that automates anomaly detection, investigation, and explainable data quality analysis.
- Tech Stack: Python • Streamlit • LangGraph • Claude Sonnet • RAG • Pandas • DuckDuckGo API.
Personal Project — Open Source
DebugAI (debuai)
- Built and published an AI-powered CLI tool (
pip install debuai) that parses stack traces across 5 languages (Python, Java, Go, C#, Node.js) and delivers instant root cause analysis, fix suggestions, and confidence scoring. - Designed a multi-provider AI backend supporting OpenAI, Anthropic, and NVIDIA with automatic key detection and zero vendor lock-in.
- Architected a modular parser registry with language auto-detection, structured JSON output mode for CI/CD pipeline integration, and GitHub issue search to surface known fixes automatically.
- Shipped with 80+ unit tests, GitHub Actions CI/CD, and full PyPI distribution.
Software Engineer
Incedo
- Developed scalable microservices with Spring Boot, Java & PostgreSQL, significantly boosting performance.
- Enhanced distributed caching via Redis → ≈ 40 % higher throughput.
- Applied Clean Architecture to improve maintainability and onboarding speed.
- Built a secure JWT service (RSA-256 + KID) that met enterprise-grade compliance.
- Extended the Business Assessment Tool (BAT): Integrated Kafka → Azure Event Hub for real-time preference streams. Co-ordinated live e-mail notifications with the legacy mailer.
- Mentored junior devs and resolved complex prod issues, fostering a collaborative culture.
Adverse Weather Object Detection Using Customized YOLO Models
Springer - Conference paper
View PaperFirst Online: 31 January 2025Microsoft Certified: Azure Developer Associate
Jul 2023 – Dec 2023Microsoft Certified: Azure Fundamentals
May 2023 – Jun 2023Software Engineer Trainee
Incedo
- Completed an intensive 1.5-month track in Spring Boot, Java & React.
- Introduced Clean Architecture + Repository Pattern to new modules.
- Led a squad of 7 that shipped 4 new features in 1 month; presented to the CDO.
- Owned sprint planning, code reviews & API integrations → 30 % rise in engagement.