
I'm a Software Engineer at Google passionate about transforming complex challenges into elegant, efficient code. I thrive in environments where I can apply my deep knowledge of algorithms, machine learning, and data analysis to build impactful technology.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Interned as a Quality Assurance Engineer at Synopsys Inc.
Currently a Software Engineer at Google, focusing on advanced software development.
Can help others by optimizing algorithms and implementing machine learning solutions.
🚀 Career trajectory
Foundational Engineering
Began with a Quality Assurance Engineer Internship at Synopsys, building a strong understanding of software development lifecycles.
✦ QA
✦ Synopsys
Research & Development Focus
Served as a Graduate Research Assistant, deepening expertise in computer science fundamentals, simulations, and data analysis.
✦ Research
✦ Data Analysis
✦ Texas A&M
Software Engineering at Scale
Gained critical industry experience as a Software Engineering Intern at Google, leading to a current role as Software Engineer.
✦ Software Engineering
✦ Machine Learning
💪🏻 Superpowers
Algorithmic Problem Solver
Translating complex challenges into efficient code.
✦ Expertise in C++, Python, and algorithm design.
✦ Proven ability to develop and optimize software solutions.
✦ Experience with simulations and data analysis.
Research-Driven Innovator
Applying academic rigor to real-world software engineering.
✦ Strong background in computer science research.
✦ Skilled in machine learning and statistical analysis.
✦ Experience with Linux and Verilog.
Cross-Functional Collaborator
Bridging technical expertise with effective communication.
✦ Experience as a Software Engineering Intern at Google.
✦ Proficient with Microsoft Office Suite for clear documentation.
✦ Adept at working within diverse project teams.
I'm excited about
✦ Connecting with fellow engineers to exchange insights on cutting-edge AI and ML techniques.
✦ Exploring opportunities to collaborate on innovative software projects that push technological boundaries.
✦ Discovering new avenues for applying my skills in data analysis and algorithm development to impactful challenges.
I can help with
✦ Offer guidance on optimizing code and algorithms for performance.
✦ Share insights into best practices for software development at a large tech company.
✦ Provide support with data analysis and machine learning implementation.
I would love your help on
✦ Recommendations for advanced courses or certifications in AI/ML.
✦ Introduction to research labs or teams focused on distributed systems.
✦ Feedback on strategies for career growth into technical leadership roles.