Trashu Vashisth
Building Production-Grade AI Agents & RAG Systems
The Problem: Sales teams waste 60% of their time researching leads instead of closing them.
The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring.
Key Technical Highlights:
Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring).
High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making.
Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning.
Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard.
Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints.
How it works:
Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously.
Key Contributions:
Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm").
Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention.
High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database.
Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule.
The Result:
A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle.
Tech Stack:
Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching.
Key Highlights:
Voice Control: Uses Speech-to-Text for hands-free research triggers.
Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data.
Voice Synthesis: Delivers an instant audio summary via ElevenLabs.
Automated Export: Generates a professional PDF report automatically.
Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
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Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like
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