Fullstack Engineer with 4+ years in AI, WebSockets & Cloud
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Full-Stack Engineer with 4+ years of hands-on experience in building scalable and high-performance web applications using React, Next.js, Python (FastAPI & Django), and Node.js. Skilled in developing real-time features with WebSockets, event-driven microservices using Kafka, and robust backend systems that handle large-scale traffic. Proficient in integrating Generative AI solutions including Retrieval-Augmented Generation (RAG) pipelines, LLM orchestration, prompt engineering, and OpenAI APIs to automate workflows and significantly improve operational efficiency. Strong expertise in clean architecture, database optimization, CI/CD pipelines, Docker, and AWS cloud services.
Pranveer Singh Institute of Technology
Master of Computer Applications
August 1, 2021 – June 30, 2023
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Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic tech environment, having worked in multiple companies with diverse tech stacks (MERN, Django/React, FastAPI/React). Their experience with AI-powered applications, real-time systems, and microservices indicates an adaptability to modern architectural patterns and emerging technologies. The focus on performance, automation, and robust systems aligns with a culture that values efficiency and innovation. The breadth of skills across frontend, backend, DevOps, and AI/ML suggests a versatile team player.
Soft Skills & Operational Fit
The candidate's resume indicates strong operational fit through experience in Agile environments, participation in sprint planning, code reviews, and end-to-end testing. The descriptions highlight a focus on performance optimization, reliability, and automation, suggesting a proactive and quality-oriented approach. Collaboration and problem-solving skills are implied through successful project deliveries and bug reduction.