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Aayush S. AI, Deep Learning and Mobile Platforms

My name is Aayush S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Large Language Model, Retrieval Augmented Generation, Deep Learning, AI Agent Development, AI Chatbot, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: AI-Powered Email Support Automation (n8n + Supabase + LLM), AI-Powered Real Estate Automation Workflow (n8n + OpenAI + CRM), Telegram Trend-News Bot AI Trend News Alert → Telegram Bot, AI-Powered Interviewer Bot – Real-Time Interview & Feedback System, Voice Chatbot Assistant, etc.. I am based in Delhi, India. I've successfully completed 6 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • AI, Deep Learning and Mobile Platforms

    2 years

  • Large Language Model

    1 Year

  • Retrieval Augmented Generation

    1 Year

  • Deep Learning

    1 Year

Direct hire

Potentially possible

Previous Company

Google India

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Experience Highlights

AI-Powered Email Support Automation (n8n + Supabase + LLM)

Built a smart email support system that captures incoming emails, classifies them, searches the knowledge base, and drafts AI-generated replies. Powered by n8n, Supabase, and LLMs, it automates triage, saves hours of manual work, ensures faster responses, and improves customer experience — with human review before final send for accuracy. Incoming Email │ Parse Email (n8n) │ Classify Intent (LLM) ├──> Knowledge Base Search (Supabase) Draft Reply (LLM) │ Human Review Step │ Send Email (SMTP / Gmail / Outlook) │ Log Conversation (Supabase)

AI-Powered Real Estate Automation Workflow (n8n + OpenAI + CRM)

AI-Powered Real Estate Automation – Captures leads → Classifies them with AI → Responds instantly → Stores in DB → Schedules & automates follow-ups → Sends daily market updates. A smart workflow built with n8n + OpenAI that captures inquiries, understands client intent, sends instant personalized replies, updates CRMs automatically, and schedules follow-ups. It eliminates repetitive tasks, saves hours weekly, and ensures faster responses that convert more leads into clients — your 24/7 AI assistant for real estate.

Telegram Trend-News Bot AI Trend News Alert → Telegram Bot

Scrapes RSS feeds for trending news, refines picks using AI summarization, and sends neatly formatted summaries to a Telegram channel or group. Perfect for journalists, hobbyist channels, or content curators looking to automate news updates.

AI-Powered Interviewer Bot – Real-Time Interview & Feedback System

A smart, voice-enabled AI Interviewer that you can call like a real recruiter. This bot simulates behavioral or technical interviews, asks dynamic follow-up questions, and evaluates your performance in real-time. It uses conversational AI to assess your tone, clarity, confidence, and response quality—just like a human interviewer would. You get a detailed performance report immediately after the call. This is ideal for: Job seekers practicing interviews HR platforms adding AI interview automation. Developers looking to integrate voice-based assessments

Voice Chatbot Assistant

Developed an AI-powered voice chatbot assistant for recruitment website to streamline resume screening & interview scheduling. The assistant could take in candidate CVs text input, parse the documents to extract relevant skills and experience, and match them with job requirements using NLP. Once a suitable match was found, the assistant automatically scheduled interviews via email, integrating with Google Calendar and Outlook. This solution reduced manual screening efforts and provided a seamless experience for job applicants.

Education

  • Panjab University

    Bachelor of Engineering (BEng) in Mechanical engineering

    2012-01-01-2016-01-01

Languages

  • English