Drashti Dave

Machine Learning Engineer | Masters at CMU

Role
Machine Learning Engineer at Cyber Dive
Location
Seattle, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Drashti Dave

I am a Machine Learning Engineer specializing in cutting-edge solutions to bolster online…

Experience

  1. Machine Learning Engineer

    Cyber Dive

    Apr 2023 — Present · Mesa, AZ, US

    Launched company’s first real-time image content moderation system, attaining 88% MAP by training and scaling computer vision models (YOLO, ResNet50, Vision Transformer, and Diffusion models).• Designed CI/CD pipeline with ETL automation and experiment tracking on Databricks, enabling real-time drift monitoring and visualization, preserving model accuracy above 97% across 4+ PB of monthly data.• Accelerated model training time from 10 days to overnight via advanced GPU parallelization with CUDA and PyTorch. • Reduced false positives by 63% and customer reachout by 48% while owning all aspects of implementing on-device Non-Maximum Suppression (NMS) from scratch, driving precise inference of the YOLO v12 model.• Fine-tuned and containerized a BERT-based NLP model for chat moderation using word embeddings and custom feature engineering, delivering 92% accuracy and enabling scalable deployment via Docker.• Prototyped content moderation system to reduce false positives by 4% using reinforcement learning from human feedback (RLHF), where a transformer model learned to reduce toxic chat by receiving feedback on its responses.• Prototyped mobile app for on-edge sentiment analysis models utilizing TFLite and ONNX in Android Studio, improved APK size by 76% in close collaboration with cross-functional teams.• Architected a serverless AWS pipeline leveraging Step Functions, Lambda, SQS, SNS by following software development life cycle to ingest REST API data and persist results in DynamoDB for scalable content moderation.• Prototyped chatbot using OpenAI APIs with RAG and LangChain, autonomously resolving 70% of customer queries.

Education

  • Carnegie Mellon University

    Master of Science - MS, Chemical Engineering

  • Kendriya Vidyalaya

    senior secondary , Physics chemistry maths

    2015 — 2016

  • Kendriya Vidyalaya

    Higher Secondary

    2013 — 2014

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Drashti Dave — Machine Learning Engineer at Cyber Dive in Seattle, WA, US | Unifers