Lavneet Sharma
Full Stack 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
Full Stack Engineer with 1+ years in scalable web applications and AI-powered development.
Full Stack Software Engineer with 1+ year of professional experience designing and delivering scalable web applications, REST APIs, and SaaS platforms. Proficient in JavaScript, TypeScript, React.js, Next.js, Node.js, PostgreSQL, and MongoDB. Hands-on experience with cloud infrastructure (AWS S3, Docker, Redis), cryptography, authentication/authorization (RBAC, JWT), multi-tenant architecture, and AI-powered application development. Familiar with microservices design principles, Agile development workflows, and version control with Git/GitHub.
Vellore Institute of Technology
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Appic Softwares
Full Stack Software Engineer
April 1, 2025 – Present
Jaipur, Rajasthan, India
Ethnus
MERN Stack Intern
May 1, 2023 – July 1, 2023
India
Damora AI Enterprise AI Knowledge Platform
June 25, 2026 – Present
Designed and built a multi-tenant enterprise SaaS platform with strict workspace isolation, RBAC, scoped JWT auth, and role-based data access across 3+ user tiers. Implemented end-to-end RAG pipelines with semantic search (Qdrant vector DB) and OCR document processing (MinIO object storage), enabling intelligent knowledge retrieval across enterprise content. Implemented Redis-backed BullMQ workers for asynchronous document ingestion, OCR processing, text chunking, embedding generation, and vector indexing workflows. Engineered workspace collaboration features, including permission-controlled Private/Shared chat sessions, dynamic multi-provider (Gemini/OpenAI/Claude) BYOK Settings secured by AES-256-CBC encryption, and real-time streaming chat completions via Server-Sent Events (SSE).
CareMagnus Multi-Tenant SaaS Care Management Platform
June 25, 2026 – Present
Architected a scalable multi-tenant SaaS application with micro-frontend design, supporting Superadmin, Admin, and Client roles managing isolated tenant workflows. Implemented TOTP-based MFA (2FA) with QR code provisioning, backup codes, and session handling via Axios interceptors, strengthening authentication and authorization security. Built WebSocket (Socket.io) real-time features, AWS S3 presigned URL uploads (~60% faster than direct upload), PDF report generation (jsPDF), and Stripe subscription billing with webhooks.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with modern web development practices, including SaaS architecture, real-time systems, and AI integration. The diversity of projects (AI platform, care management, general SaaS) and the use of a broad range of technologies indicate adaptability and a willingness to tackle different challenges. The focus on security, scalability, and performance in project descriptions aligns well with best practices for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong ability to work on complex, end-to-end features, suggesting good problem-solving and execution skills. The collaboration on a job portal project also points to teamwork capabilities. The detailed descriptions of architectural decisions and feature implementations suggest a structured approach to development.