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vijay_vsnv_1

vijay vaishnav

@vijay_vsnv_1

Full Stack AI and ML Engineer building Web Mobile Apps RAG Chatbots and AI Agent

Indien
Englisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hi, I’m Vijay, a Full-Stack AI/ML Engineer. I build production-ready AI applications end-to-end: web and mobile frontends (React, Next.js, React Native), Python/FastAPI backends, and AI systems like RAG chatbots and AI agents (LLMs, LangChain, vector databases). I also build automation workflows with n8n and computer vision models. I’ve independently delivered enterprise AI platforms from database design to deployment. Let’s discuss your project scope, timeline, and budget before we start.... Mehr lesen

Kompetenzen

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vijay_vsnv_1
vijay vaishnav
offline • 

Meine Dienstleistungen

Daten-Dashboards
I will create interactive power bi dashboards for data visualization
Ab10 $ / ProjektWeitere Details
Statistische Modellierung & Analyse
I will analyze and visualize your data using python pandas seaborn
Ab10 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Self_employed / Freelance

Self employed / Freelance

Vollzeit • 1 yr 2 mos

Full-Stack AI/ML Engineer

May 2026 - Present • 6 mos

Sole engineer on an enterprise AI field-service platform for a global HVAC client — full-stack ownership across a mobile app, admin dashboard, customer portal, and AI backend. Built AI agent and automation pipelines (Google Gemini) with RAG search, plus a multi-API load balancer with automatic failover and rate-limit handling for production reliability. Shipped React Native, Next.js, React and FastAPI apps end-to-end, including database schema design, RLS policies, and GitHub–Vercel CI/CD pipelines.

AI Solutions Developer

Jan 2026 - May 2026 • 4 mos

Built and deployed GenAI applications (LLMs, VLMs) with scalable FastAPI inference APIs and contributed to agentic AI integrations. Independently delivered an AI warehouse-surveillance copilot: CCTV images processed through GPT-4o vision to generate structured safety reports, with a RAG pipeline (Pinecone) for context-aware chat. Deployed a FastAPI and React 18 application on Render with CDN and GitHub auto-deploy.

Data Scientist Trainee

Aug 2025 - Dec 2025 • 4 mos

Built a CNN-based object detection system with 90%+ accuracy, with FastAPI endpoints for real-time visualization and system interaction.