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Sahil Bansal

Mid-level Backend & ML Engineer specializing in LLM systems and scalable AI pipelines

Bay Area, CASoftware Engineer – ML Pipelines & Model Productionization3 years experienceMid-LevelTechnologyArtificial IntelligenceMachine Learning
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About

Built and shipped a real-time AI phone agent for small businesses that handles bookings/FAQs/messages using streaming ASR, an LLM with tool-calling, and TTS; deployed to production for multiple paying customers. Demonstrates strong applied LLM reliability practices (tool-first grounding, retrieval, hard-negative testing, and production monitoring) and experience orchestrating multi-step AI workflows with Airflow, Prefect, and AWS Step Functions.

Experience

Software Engineer – ML Pipelines & Model ProductionizationMeta
Language Engineer – AI/LLM SystemsApple
Deep Learning Engineer – Conversational AI (RAG)Stealth Startup
ML Engineer – Conversational AI InfrastructureGoodCall
Applied Scientist – AI & Data EngineeringLiaro.ai

Education

Santa Clara Universitymaster, Computer Science
Tokyo Institute of Technologybachelor, Computer Science

Key Strengths

  • Built and deployed a production AI phone agent (ASR→LLM→tools→TTS) for paying customers
  • Latency and real-time voice UX optimization (barge-in, VAD interruption handling, partial transcripts)
  • Hallucination mitigation via tool-first grounding, retrieval, intent validation, and safe fallbacks
  • Reliability engineering: structured logging, analytics, prompt evals, offline/edge-case testing, and feedback loops from production
  • Pragmatic model/retrieval selection based on constraints and evaluation results (smallest model that passes evals)
  • Effective collaboration with non-technical small-business stakeholders by translating model behavior into business outcomes

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Languages

English

Skills

API GatewayApache AirflowASRAWSAWS LambdaAWS SageMakerBackend IntegrationButterflyCloud DeploymentConversational AIData EngineeringData PreprocessingDataset CreationDataset RefinementDeep Learning