AI Engineer | LLMs · RAG · Voice AI · Agentic Systems | Building @ Careers360 🚀 | Open to remote opportunities
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rag-document-qa
June 10, 2026 – Present
📄 Production RAG Document Q&A — BGE-M3 embeddings + Supabase pgvector + Claude 3.5 + cross-encoder reranking. Upload PDF/DOCX, get cited answers.
View Projectvoice-appointment-booker
June 10, 2026 – Present
🎙️ Production Voice AI Appointment Booker — Whisper STT + Claude LLM + ElevenLabs TTS + Twilio. Multi-turn conversations, slot booking, objection handling.
View Projectauto-skill-mcp
June 4, 2026 – Present
One MCP server that auto-serves skills to agentic coding tools. Connect once, get expert guidance on any task.
View Projectai-data-analysis-agent
May 31, 2026 – Present
Agentic Data Analysis Sandbox — AI agent that autonomously analyzes datasets using LangGraph, generates Python code, executes it in E2B sandboxes, and produces rich visualizations.
View Projectmarket-trend
May 23, 2026 – Present
Trading platform website - Jaaz Markets clone built with Next.js 14, Tailwind CSS, and TypeScript
View Projectrahulrachhoya.github.io
May 7, 2026 – Present
rahulrachhoya.github.io — GitHub repository
View ProjectRahulRachhoya
May 7, 2026 – Present
Modern GitHub Profile README - Full Stack Developer | AI Engineer | Data Scientist
View ProjectMachine-Learning
August 11, 2024 – Present
Machine Learning projects covering supervised/unsupervised learning, feature engineering, and model evaluation using Python & scikit-learn.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI/ML through numerous personal projects, which aligns well with an innovative and tech-driven culture. The breadth of projects, from RAG systems to voice AI and agentic data analysis, suggests a curious and continuous learning mindset. However, the lack of team-based projects or formal work experience makes it challenging to fully assess cultural fit in a collaborative professional environment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, capable of taking initiative on complex AI/ML projects. The variety of projects indicates adaptability and a willingness to explore different problem domains. However, without formal work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or direct operational fit.