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Fullstack Engineer - AI with less than a year in AI Systems & RAG Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and full-stack developer with hands-on experience building multimodal document AI systems, RAG pipelines, AI agents, and production-ready automation workflows. Strong in Python, TypeScript, Next.js, Node.js, FastAPI, REST APIs, and LangChain, with experience delivering end-to-end solutions from backend logic to user-facing interfaces.
Bahubali College of Engineering
BE · Information Science and Engineering
N/A – June 30, 2026
CryptoTech Laboratories Pvt. Ltd.
AI Developer Intern
February 1, 2026 – May 31, 2026
India
ScalePods
AI Automation Intern
October 1, 2025 – January 31, 2026
India
Infosys Springboard
AI Intern
October 1, 2025 – December 31, 2025
India
Collaborative AI Web Builder
June 3, 2026 – Present
Built a collaborative web design platform using Liveblocks and Fabric.js with real-time synchronization and interactive canvas-based editing tools. Integrated WebContainers to run a full Next.js environment directly in the browser with live previews and zero local setup. Implemented design-to-code generation using Inngest Agents and multiple LLMs to convert visual designs into functional website code.
View ProjectHierarchical Vectorless RAG Agent
June 3, 2026 – Present
Built a vectorless document reasoning system using PageIndex, PyMuPDF, and Docling to preserve PDF structure and retrieve relevant sections without embedding-based chunk search. Developed a hybrid agent workflow with client-side and server-side tool calling for document Q&A and multi-tool orchestration.
View ProjectFundamentals of Agents
Hugging Face
June 1, 2026 – Present
Pydantic for LLM Workflows
DeepLearning.AI
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 AI Foundations Associate
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including collaborative web development and hierarchical RAG agents, alongside internships in AI development and automation, demonstrates a broad interest in cutting-edge AI applications. This aligns well with a dynamic, innovation-focused environment. The certifications further indicate a commitment to continuous learning and staying updated with industry trends, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work on complex, multi-faceted problems and deliver functional solutions. The focus on automation and agent workflows indicates a proactive and problem-solving mindset. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.