Machine Learning Engineer
Summary
E-GREEN LLC | Boston, MA
Data Science Intern Jun 2022 Dec 2022
Involved in building and implementing machine learning models under the guidance of a senior data scientist and perform tasks
such as statistical data analysis, data preprocessing, model selection, hyperparameter tuning, and model evaluation
Built ML models and conducted real-time analysis of datasets using PyTorch, Pandas, Matplotlib, XGBoost, and Scikit-learn to
enhance product performance and functionality
Utilized deep learning techniques in image processing to generate high-quality color shadow images with up to 98% accuracy.
IBM | Bangalore, India
Software Developer Jan 2020 - Aug 2021
Developed GitHub bot that utilizes natural language processing (NLP) algorithms to automatically review pull requests eliminating
human intervention, significantly reducing review time by over 15 seconds
Designed and implemented APIs and cutting edge web applications using Java and JavaScript for the Commerce Team enabling
users to subscribe to various services across the company
Deployed TestNG to implement over 500 automated tests for an entire existing system, significantly improving team-wide code
quality and boosting productivity by reducing manual testing efforts
Created a dashboard for the team with help of NodeJS and EJS to display a record of different types of orders; fetching information
instantly from the server and producing in a visually appealing fashion; saving overall time by 50%
DELL INC. | Bangalore, India
NLP Intern July 2019 - Sept 2019
Built an NLP based solution that utilizes historical data to provide engineers and developers with relevant suggestions for resolving
queries, streamlining the support process and increasing productivity
Constructed language model to accomplish Named Entity Recognition using a multilayer neural network, achieving 74% accuracy,
to predict category of a query with problems faced: Tools, Method, Code Error, Software Requirement
Expectations
As a machine learning engineer, my expectations from my new job would be to work on challenging projects that leverage my expertise in developing cutting-edge machine learning algorithms and models. I would expect to work in a team-oriented environment where collaboration is encouraged, and knowledge sharing is prioritized.
In addition, I would look forward to an opportunity to work on projects that impact real-world problems and have a positive impact on society. This would give me a sense of fulfillment in my work and motivate me to perform at my best.
I would also expect my new job to provide ample opportunities for personal and professional growth. This could include access to training and development programs, exposure to new technologies, and mentorship from experienced professionals.
Finally, I would expect my new job to provide a competitive compensation package and benefits that align with my skills and experience in the machine learning field. This would demonstrate that my contributions are valued and would incentivize me to continue to perform at a high level.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Skills
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