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Learning Everyday
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Learning Everyday

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YagyanshB/README.md

AI/ML Engineer building production AI systems that move commercial metrics, extremely fascinated by ambiguous problems and enjoy translating them into tangible outcomes.


Systems I Build

Agentic AI        LangGraph · PydanticAI · tool-use orchestration · multi-agent reasoning
LLM Ops           vLLM · ONNX Runtime · model distillation · LoRA/QLoRA · DeepEval
Computer Vision   ViT · YOLO · segment-anything · diffusion pipelines · OpenCV
Infra & Scale     Spark · Kafka · Databricks · Ray · pgvector · Triton Inference Server
Governance        differential privacy · GDPR/HIPAA · automated red-teaming

Recent Work

Twacha Labs — Built a smart triaging system in 16 weeks that routes skincare concerns through computer vision and clinical decision logic. From image capture to actionable recommendation.

Immigrant Guard AI — AI assistant helping immigrants navigate UK entry processes — documentation guidance, compliance checks, and decision support when it matters most.

Voice AI — "How do you say that?" — Pronunciation engine so people can actually learn to say my name. Built because I got tired of correcting everyone.

Pinned Loading

  1. google-fde-interview-guide google-fde-interview-guide Public

    Jupyter Notebook 340 74

  2. neetcode-submissions-ima8whcf neetcode-submissions-ima8whcf Public

    My NeetCode.io problem submissions

    Python 1

  3. airbnb-ai-review-analyser airbnb-ai-review-analyser Public

    JavaScript

  4. skyscanner-ai-travel-concierge skyscanner-ai-travel-concierge Public

    Python

  5. heartflow heartflow Public

    An agentic orchestration engine for personalized dating experiences.

    TypeScript