An Associate Engineer – AI Labs at Virtusa, contributing to Google projects focused on Agentic AI, multi-agent orchestration, and LLM-based evaluation systems. Responsibilities include developing intelligent AI agents, designing evaluation pipelines, implementing prompt engineering techniques, and improving system performance and reliability. Technical expertise includes Python, Java, Google ADK, LangChain, LangGraph, CrewAI, machine learning, RAG, and cloud platforms such as GCP and AWS. Specializes in building scalable AI solutions, optimizing workflows, and translating complex business requirements into reliable, production-oriented applications.
Associate AI Engineer
Virtusa
- Worked on Google Maps Vandalism Detection using Gemini models, Python, and advanced prompt engineering, achieving 97.70% precision and 92.62% recall. Developed a multi-agent packet evaluation system using Google ADK, Gemini, GCP, and Cloud SQL, reducing latency by approximately 70% and achieving 85% human evaluation alignment. Built an automated prospect evaluation system using LangGraph, LangChain, and Scikit-learn for risk, portfolio, and compliance analysis. Developed Omantel sales forecasting models using ARIMA and SARIMA, achieving 96% forecast accuracy.
Bachelor of Technology
St. Martin's Engineering College · 8.3
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