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2023 - Present

Senior GenAI Engineer

TechInsight AI Labs

San Francisco, CA

Leading the development of advanced generative AI models for enterprise solutions. Overseeing a team of 5 ML engineers focused on creating next-generation text and image generation systems.

Key Achievements:
  • Implemented transformer-based architectures resulting in 40% improvement in text generation quality
  • Established MLOps pipelines that reduced deployment time from weeks to hours
  • Developed an innovative fine-tuning approach that decreased training data requirements by 60%
  • Designed and launched an AI-powered content generation platform now used by over 50 enterprise clients
PyTorch Transformers LLMs MLOps CUDA AWS
2021 - 2023

ML Engineer

DataNexus Corp

Boston, MA

Developed and deployed machine learning models for predictive analytics in the financial sector. Focused on creating scalable and efficient ML systems.

Key Achievements:
  • Reduced model inference time by 35% through optimization techniques
  • Built an automated trading system using reinforcement learning that increased returns by 22%
  • Implemented a distributed training pipeline that scaled to handle 10TB+ of financial data
  • Created a real-time anomaly detection system for fraud prevention
TensorFlow Kubernetes Python Docker GCP
2019 - 2021

Data Scientist

AnalyticsEdge Inc

New York, NY

Created data pipelines and analytical models that drove business decisions. Specialized in NLP solutions for customer feedback analysis.

Key Achievements:
  • Developed sentiment analysis model with 92% accuracy for customer reviews
  • Built ETL pipelines that processed over 5 million daily transactions
  • Created visualization dashboards that drove a 15% increase in customer retention
  • Implemented recommendation systems that increased user engagement by 28%
scikit-learn NLTK SQL Spark Tableau
2018 - 2019

Machine Learning Intern

TechGiant Inc

Seattle, WA

Worked with the AI research team to develop and test machine learning algorithms. Focused on computer vision applications.

Key Achievements:
  • Contributed to an image recognition system that improved accuracy by 12%
  • Created a data augmentation pipeline for training computer vision models
  • Co-authored a research paper on efficient model deployment
PyTorch OpenCV NumPy Linux
2017 - 2018

Junior Developer

InnovateTech Solutions

Chicago, IL

Worked on full-stack development with a focus on data-driven applications. Participated in developing web applications for data visualization.

Key Achievements:
  • Developed RESTful APIs for data analytics services
  • Created interactive dashboards using D3.js and React
  • Implemented database optimizations that improved query performance by 40%
JavaScript React Node.js MongoDB D3.js

Key Skills & Expertise

Programming Languages

Python JavaScript SQL R Java C++

Frameworks & Libraries

PyTorch TensorFlow scikit-learn Hugging Face Pandas NLTK spaCy React

Cloud & DevOps

AWS GCP Azure Docker Kubernetes CI/CD MLOps
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