Machine Learning Engineer
Summary
I have over 2 years of experience applying artificial intelligence and machine learning techniques to solve real-world problems. I started my career as an AI Intern at National Innovation Center, where I implemented convolutional neural networks from scratch and optimized models to improve performance.
As AI Lead at SherpaCodes, I led data annotation teams and collaborated cross-functionally to build high-quality datasets for training ML models. Notable achievements include reducing computation time by 50% through supercomputer optimization and improving model accuracy by researching and implementing state-of-the-art techniques.
My work at Omdena demonstrates my skills in data analytics - collecting, processing, analyzing, and visualizing data to generate insights. I created summaries and visualizations to communicate key findings from exploratory data analysis.
Outside of work, I have delivered multiple AI/ML projects like a plant disease detection model with 95% accuracy using PyTorch and a web app to classify digital ads with 90%+ accuracy.
My technical skills span Python programming, data analytics, cloud technologies, data annotation tools, and version control systems like GitHub.
In summary, I have proven expertise in applying ML/AI to create impactful solutions, strong leadership ability in managing data teams, and a track record of optimizing models and pipelines for improved performance. My work illustrates proficiency across the AI/ML workflow - from data collection to production deployment.
Expectations
I would expect opportunities to continue expanding my skills and experience in artificial intelligence, machine learning, and data science. Hands-on work where I can apply advanced techniques to build innovative solutions is important to me.
I would hope to collaborate with talented teams where I can learn from senior professionals. Mentorship and support for my career development are valuable.
I would anticipate projects that are challenging and enable me to have a meaningful impact through my contributions. Complex problems that require creative thinking and optimization excite me.
I would expect a role where I can exercise leadership abilities, whether in managing teams, guiding junior employees, or influencing organizational decision-making. Continuing to develop leadership potential is a priority.
An encouraging work culture that promotes knowledge sharing, innovation, and work-life balance is ideal for me. Flexible working arrangements are also appreciated.
Competitive compensation and benefits are desired, as I aim to advance in my career. However, of greater importance is that the role provides fulfilling work where I can grow professionally.
In summary, I am looking for a position where I can maximize my expertise in AI/ML, take on leadership responsibilities, collaborate with top talent, and work on projects that make a difference. An environment that nurtures my career is key.
Employment Preferences
Relocation destinations:
- Alameda, California, United States
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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