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Full Stack AI Engineer with 3+ years in AI-powered products and scalable web applications.
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Assessing your cultural and operational fit
Full Stack AI Engineer with 3+ years of experience designing and building AI-powered products and scalable web applications. Experienced in developing multimodal AI platforms, enterprise conversational systems, voice-enabled applications, and end-to-end user experiences using React, Node.js, Python, and modern AI technologies. Strong expertise in integrating AI capabilities into production systems while delivering performant, reliable, and user-centric solutions.
University of Calicut
Bachelor of Business Administration (BBA)
August 1, 2021 – June 30, 2021
S.N.M.H.S.S, Kerala
Higher Secondary Education · Computer Science
June 1, 2018 – May 31, 2018
VAYUZ TECHNOLOGY
Full Stack Engineer
March 1, 2024 – March 1, 2026
India
SPERICORN TECHNOLOGY INC
Backend Engineer
October 1, 2022 – March 1, 2024
India
Multi-Context Generative AI Platform
June 1, 2022 – June 1, 2026
Architected a multi-context Generative AI platform enabling users to create isolated AI assistants from Excel, PDF, and DOCX knowledge sources. Automated document ingestion pipelines and synchronized distributed services using Kafka, improving data processing efficiency. Enhanced AI conversational experiences through LLM token streaming, microphone interactions, and Text-to-Speech (TTS). Integrated Server-Sent Events to deliver real-time background progress updates for long-running doc ingestion and AI processing pipelines, improving user visibility and reduced API response latency.
Enterprise Voice-First AI Assistant
June 1, 2022 – June 1, 2026
Designed and deployed an enterprise conversational assistant enabling secure querying of organizational knowledge bases. Engineered end-to-end RAG pipeline combining Python services, vector search, and enterprise AI models. Reduced perceived audio response latency by implementing paragraph-level streaming queues for TTS generation.
AI-Driven Skill Graph & Transcript Parser
June 1, 2022 – June 1, 2026
Engineered a multimodal ingestion pipeline to process audio, video, and PDF data into structured knowledge assets. Built semantic extraction systems to map unstructured transcripts into engineering skills and user activities. Designed a highly relational Neo4j knowledge graph to model competency hierarchies and user expertise.
Shopify E-Commerce Platform
June 1, 2022 – June 1, 2026
Delivered a customized Shopify-based e-commerce platform for anime and gaming merchandise, tailoring storefront components, user experiences, and business workflows. Enhanced customer engagement by integrating an AI-powered chat assistant into the storefront. Implemented Model Context Protocol (MCP) integrations and LLM tool-calling capabilities to securely expose store functionalities to AI agents. Automated operational workflows by building an n8n-powered Telegram assistant for customer, product, and order management.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the 'Full Stack AI Engineer' target role, showcasing diverse applications of AI and full-stack development. The breadth of technologies used (Node.js, Python, React, MongoDB, Neo4j, Kafka, LLM tools) indicates adaptability and a willingness to learn and apply various tools. The personal projects reflect initiative and a passion for AI and complex system design, which are positive indicators for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, architectural design, and implementation of complex systems, suggesting strong operational fit. The focus on improving user experience (e.g., reduced latency, real-time updates) indicates a user-centric approach. Collaboration is implied through the delivery of enterprise applications, though not explicitly stated.