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Aniket Patel
Junior AI/ML Engineer specializing in full-stack AI systems
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About
Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.
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Key Strengths
- owned end-to-end deployment of AI web applications
- full-stack architecture and implementation across React/FastAPI stack
- production integration of AI services including transcription, avatars, and real-time interview rooms
- post-launch stabilization and production debugging
- performance optimization for latency-sensitive AI pipelines
- stakeholder coordination in small-team product environments
- design of multi-agent LLM workflows for market research automation
- debugging non-deterministic agent failures with per-agent and shared memory layers
- hallucination mitigation using validation layers, constraint prompts, and structured outputs
- document AI pipeline design for messy real-world inputs
- robust validation and transformation patterns for PDFs, scans, and spreadsheets
- reliability engineering with retries, fallbacks, and failure tracking
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Experience
Education
Skills
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Publications
1 publication
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