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kanishq vijayKV
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kanishq vijay

@kanishqvijay

AI engineer and data engineer building real-time regulatory intelligence and LLM-powered systems.

India
Message

What I'm looking for

I’m looking for a team where I can build production-grade AI systems—agent pipelines, extraction workflows, and real-time data products—while collaborating through Agile engineering and shipping reliable, testable software.

I’m an independent AI & Data Engineer focused on turning unstructured information into reliable, real-time insights. I architected a distributed FDA 510(k) intelligence platform processing 100,000+ medical device records using Cloud Run, Gemini 2.5 Flash, and Vertex AI Search for regulatory intelligence.

I build practical LLM applications end-to-end, from autonomous agent design to production-ready pipelines. I developed a Google ADK agent with a 2-tool search-and-retrieval architecture and integrated it into a Next.js frontend with real-time streaming via Server-Sent Events, then engineered an extraction pipeline that processes 20 PDFs per call with retry logic and categorized error handling.

I also enjoy shipping full-stack and automation systems—like a Docker/Nginx/Flask Twitter monitoring platform streaming live tweets via WebSockets and delivering LLM-generated daily reports via Telegram. My projects span web-based AI agents and hybrid MLLM-OCR engines, and I’ve shipped hackathon-winning MCP server suites for real-world workflows.

Experience

Work history, roles, and key accomplishments

UP
Current

Independent AI & Data Engineer

Upwork

Nov 2020 - Present (5 years 9 months)

Architected a distributed FDA 510(k) intelligence platform using Cloud Run and Vertex AI Search to deliver real-time regulatory insights. Built an autonomous AI agent integrated into a Next.js frontend and an AI extraction pipeline for structuring data from FDA regulatory documents.

QS

Software Engineering Intern

Qxf2 Testing Services

Dec 2025 - Mar 2026 (3 months)

Developed automated Python test suites using the Page Object Model to validate CLI workflows and infrastructure deployment pipelines. Identified and documented execution collisions in Kubernetes-native CI pipelines (Tekton) and supported sprint-based issue resolution with reproducible defect reports.

Education

Degrees, certifications, and relevant coursework

SE

SIMATS Engineering

Bachelor of Technology, Artificial Intelligence and Data Science

Grade: 8.84/10

Pursuing a Bachelor of Technology in Artificial Intelligence and Data Science at SIMATS Engineering in Chennai, India, expected to complete in 2026 (CGPA 8.84/10).

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