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AI Engineer with 1+ years in LLM orchestration & speech AI
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Applied AI Engineer with production experience across LLM orchestration, multilingual Legal-RAG, speech AI (STT/TTS), and backend automation on a live Legal AI platform. Owned end-to-end AI pipeline delivery - from model evaluation and retrieval architecture to production debugging and deployment hardening - across a system serving 9+ Indian languages and 10+ state verification workflows.
AISSMS IOIT Savitribai Phule Pune University
B.E. · Computer Engineering
August 1, 2019 – June 30, 2023
OctoGenie
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Orchestrated multi-agent candidate evaluation with rubric-based LLM scoring, deterministic re-ranking, and structured fallback logic — producing auditable, hallucination-resistant shortlisting across multi-step assessment workflows.
View ProjectDiscord Copilot
June 27, 2026 – Present
Engineered agentic RAG with persistent conversation memory, failure-aware tool execution, and retry logic - enabling reliable multi-turn interactions across long-running sessions.
View ProjectCultural Fit Analysis
The candidate's experience spans AI engineering, data science, and personal projects involving multi-agent systems and RAG, indicating a diverse skill set and a proactive approach to learning and application. The focus on production-grade AI systems and problem-solving aligns well with a dynamic, results-oriented environment. The breadth of technologies and problem domains (Legal-RAG, court scraping, hiring agents) suggests adaptability and a strong interest in applying AI to real-world challenges.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through resolving production bugs and hardening infrastructure. Their experience in leading verification expansion and evaluating models indicates initiative and decision-making capabilities. The detailed project descriptions suggest good communication of technical concepts and outcomes.