N
NIKHIL BELAVI
About
Detail
Bengaluru, Karnataka, India
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work
Full-time jobs
Starting at
USD70k/year
Résumé
Jobs
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Backend Software Engineer (System Software Engineer I)Hewlett Packard EnterpriseSep 2024 - Current (1 year 9 months)• Owned end-to-end backend feature delivery for a production system serving 3K+ users, from requirement scoping and system design to containerized deployment and production monitoring. • Designed and built scalable REST APIs using Node.js and Express.js, achieving sub-100ms latency under production workloads, following OpenAPI/Swagger specifications. • Architected MongoDB replication setup for high availability and fault tolerance, with automated failover ensuring 99.9% uptime. • Reduced database load by 40% through Redis caching strategies and query optimization, cutting average response times by over 35%. • Improved file upload performance for geographically distributed users by deploying servers across multiple regions using Docker and K- Software Engineering InternHewlett Packard EnterpriseFeb 2024 - Aug 2024 (7 months)• Built CI/CD pipelines using GitHub Actions enabling fully automated build, test, and deployment workflows across staging and production environments, reducing deployment time by 60%. • Automated database migration processes using scripted workflows, reducing manual deployment steps to a single-command execution. • Developed and maintained automated testing pipelines (unit, integration), improving release reliability and reducing deployment failures by 40%. • Identified and resolved deployment bottlenecks in containerized environments (Docker), improving release efficiency and system stability.
Education
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- ISC2 Certified in Cybersecurity (CC)ISC2Jun 2025 - Mar 2026 (10 months)Certified in access control, network security, risk management, threat detection, and CIA triad principles.
- B.E. Computer Science EngineeringRV College of EngineeringNov 2020 - Aug 2024 (3 years 10 months)GPA: 8.75 /10
Projects (professional or personal)
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- SAI Notes TutorSmart Revision System (RAG + LLM)Mar 2026 - Apr 2026 (2 months)Built a full-stack AI-powered note revision platform supporting 500+ documents, enabling users to upload study material and generate concise revision notes using RAG-based question answering. Designed a Retrieval-Augmented Generation (RAG) pipeline using FAISS vector search and sentence-transformer embeddings, achieving sub-2s context-aware retrieval on documents up to 100MB. Implemented multi-format document ingestion (PDF, DOCX, HTML, TXT) with optimized chunking and semantic retrieval pipelines, improving answer accuracy by 40% over naive retrieval. Integrated a locally hosted LLM (LM Studio) for privacy-focused, zero-cost inference, eliminating dependency on external APIs. Built modular backend services using FastAPI with scalable micro
- SOOTDSmart Outfit Recommendation Platform (Full-Stack)Jan 2026 - Current (5 months)Architected and built a full-stack outfit recommendation platform delivering personalized suggestions based on user profiles, body type, and preferences across web and mobile. Designed a scalable monorepo architecture (npm workspaces) integrating backend, web (Next.js with SSR), and mobile (React Native via Expo) applications with shared TypeScript types. Developed a type-safe REST API backend using Node.js, Express.js, and TypeScript with layered architecture (routes, controllers, services) following clean architecture principles. Implemented secure authentication with JWT, bcrypt password hashing, input validation, rate limiting, and CORS middleware aligned with OWASP security standards. Modeled relational data using PostgreSQL with Prism
Awards
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- TTop 5 Finalist, HPE India Paper Presentation CompetitionJan 2024