About
Aspiring Machine Learning Engineer with 3 years of software development experience, currently pursuing a Master's in Artificial Intelligence at MIPT. Proven ability to build end-to-end MLOps pipelines with CI/CD, delivering high-accuracy models (99% for intrusion detection) and achieving strong R2 scores (0.88 for student score prediction). Proficient in Python, PyTorch, TensorFlow, Docker, FastAPI, MLflow, and AWS, I am seeking to leverage my expertise in AI/ML roles to drive innovative solutions.
Work
Bangalore, Karnataka, India
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Summary
Led frontend development for critical Cloud Accounts and Capital Stocks platforms, enhancing user experience and system efficiency through modern web technologies.
Highlights
Developed and maintained frontend for Cloud Accounts and Capital Stocks, utilizing Angular 8-13, HTML5, and Bootstrap 4 to deliver robust and scalable solutions.
Integrated REST APIs and implemented caching mechanisms for real-time financial visualization, which reduced UI API failures by 20% and improved data delivery.
Introduced lazy loading techniques, decreasing initial bundle size and improving time to interactive by 40%, significantly enhancing application performance.
Collaborated on API validation and pipeline testing using Postman, contributing to a 30% reduction in production rollbacks and ensuring higher release quality.
Education
Languages
English
Hindi
Telugu
Skills
Machine Learning
PyTorch, TensorFlow, Scikit-Learn, XGBoost, NLP, Deep Learning, Computer Vision, Reinforcement Learning.
MLOps & Deployment
MLflow, Docker, FastAPI, CI/CD, Streamlit, Gunicorn, Nginx, AWS EC2.
Data Infrastructure & Programming
Python, Pandas, NumPy, SQL, ETL Pipelines, REST APIs.
Databases
MySQL, MongoDB, FAISS, Pinecone, Weaviate, Vector Databases.
Tools & Version Control
Git, Postman, Matplotlib, Seaborn.
Frontend Development
Angular 8-13, HTML5, Bootstrap 4.