Senior Machine Learning Engineer | Ex-Amazon | Ex-Morgan Stanley | Data Scientist | Generative AI Enthusiast
🔍 Passionate about crafting robust AI/ML systems, building scalable data infrastructure, and delivering business-impacting insights through cutting-edge machine learning solutions.
Amazon (Social Ads Team) | May 2023 – Aug 2023
- Built and deployed a Content Quality Evaluation System to automatically assess and flag poor-quality influencer content (videos/images).
- Used Amazon Bedrock, LLMs, and custom scoring metrics to evaluate content fitness for advertising.
- Took the project from scratch to production, reducing low-quality content by 30%+ and improving engagement and conversion.
- Developed scalable dashboards for content performance tracking and insights.
Thomson Reuters | Aug 2023 – Sep 2024
- Led the development of a domain-specific Legal Language Model (LLM) for legal NLP tasks.
- Built end-to-end MLOps pipelines for model training, evaluation, and deployment.
- Collaborated cross-functionally with legal experts and ML researchers to align models with real-world legal use cases.
- Delivered optimization improvements that significantly accelerated legal document classification tasks.
Morgan Stanley | Aug 2020 – Jul 2022
- Designed and developed real-time financial dashboards and hybrid apps for asset managers.
- Architected performant backend services, improving latency and UI responsiveness by 40%.
- Integrated analytics and forecasting tools to aid in portfolio decision-making.
M.S. in Data Science
Indiana University Bloomington | Aug 2022 – May 2024
- Languages: Python, SQL, JavaScript
- ML/AI: PyTorch, TensorFlow, Scikit-learn, HuggingFace, LLMs, LangChain, VLLMs
- Data Engineering: Apache Spark, Airflow, Pandas, AWS (S3, Lambda, Bedrock)
- DevOps/MLOps: Docker, MLflow, SageMaker, GitHub Actions, CI/CD
- Cloud: AWS, Azure, GCP
- Others: Tableau, Power BI, REST APIs, Streamlit
- 🚀 Boosted product recommendation conversions by 30%+ during internship at Amazon.
- 📄 Published research on voice assistant NLP models.
- 🔍 AWS Certified Developer – Associate
- 🧪 Kaggle Expert
- 📚 Contributor to PyTorch documentation (Docathon)
⭐️ Fun Fact: I love simplifying complex problems with elegant ML solutions — always up for building the next big thing in AI!