# Mohit Patil

> Software Engineer @ Nuro | C++, Python, Machine Learning, AWS | Building Scalable and High-Performance Software Solutions

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/mohitpatil

A BIT ABOUT ME:
🎓 Master’s graduate in Computer Science from the University of Maryland, Baltimore County (UMBC), with coursework in Machine Learning, Artificial Intelligence, Advanced Operating Systems, and Algorithm Design.
💻 Passionate Software Developer with expertise in C++, Python, AI, and AWS, specializing in building scalable and high-performance systems.

CURRENT WORK:
💡 Successfully implemented K-means clustering algorithms, generating savings of $2.5 million annually for clients.
🛠️ Designed tools that saved 375+ employee hours annually, demonstrating a strong focus on efficiency and automation.
🚀 Delivered impactful solutions at Aptiv, including a radar alignment algorithm that improved accuracy by 20% and optimized runtime by 35%.
☁️ Gained exposure in cloud computing (AWS) and CI/CD pipelines, accelerating deployment cycles and ensuring seamless operations.

PERSONAL SIDE:
🥾 Avid hiker who enjoys disconnecting from the digital world to recharge in nature.
📚 Science fiction enthusiast with a love for discovering new books and exploring imaginative worlds.
🌟 Committed to professional growth and personal development, striving to balance technical expertise with creativity.

🤝 Let’s connect to discuss innovative projects, share ideas on technology, or swap recommendations for the next great adventure or book!

## Work Experience
### Software Engineer @ Nuro
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Aptiv
Jan 2022 – Jan 2025 | Troy, Michigan, United States
● Designed and developed a production-grade radar alignment solution in C++ from concept to production, powering 500k+ BMW vehicles with enhanced object-tracking performance.
● Enabled new algorithm features through radar data analysis using Python (NumPy, Pandas) and Matlab, driving a 20% precision boost in radar perception systems.
● Devised a C++ debug logging utility with bit-level optimizations using bit masks and macros, enabling 30% faster issue reproduction and enhancing developer efficiency in radar feature development.
● Pioneered ML-based data filtering techniques, using adaptive learning to eliminate noisy detections and optimize processing, saving $2.5M annually for BMW.
● Engineered a data visualization platform in Python and React streamlining team workflows and saving 300+ hours annually.
● Architected and implemented static alignment feature through close collaboration with radar and integration teams, achieving a 60% improvement in startup alignment accuracy.
● Built scalable data tools using AWS scripting and automation, resulting in a 30% reduction in compute resource usage.
● Established GTest and Jenkins-based validation infrastructure, achieving 100% test coverage and increased algorithm stability.

### Algorithm Developer @ Aptiv
Jan 2022 – Jan 2022 | Agoura Hills, California, United States
● Designed and developed a hybrid car tracking feature in C++ leveraging ML and radar fusion, improving object tracking accuracy and precision for real-time autonomous driving scenarios.
● Engineered fusion and filtering enhancements for the tracking algorithm, achieving an 18% gain in accuracy and system reliability.
● Applied memory-efficient design patterns and refactored radar codebase, minimizing runtime space usage by 20%.
● Developed a performance evaluation tool in Python and Matlab, automating analysis and reducing KPI generation time by 40%.

### Graduate Assistant @ University of Maryland Baltimore County
Jan 2022 – Jan 2023 | United States
● Assisted in teaching and grading for a graduate-level course on Data Structures and Algorithms, Data Science, and Machine Learning, serving as a valuable resource for students with varying levels of programming experience.
● Demonstrated understanding of key concepts such as time complexity, big-O notation, and various data structures (e.g. arrays, linked lists, stacks, queues, trees, graphs, etc.)
● Supported in designing and implementing projects related to data cleaning, data exploration, and machine learning modeling using Python, R, and SQL.
● Demonstrated expertise in machine learning techniques such as classification, regression, clustering, and deep learning.

### Dell Campus Ambassador @ Dell
Jan 2018 – Jan 2019 | Nashik, Maharashtra, India
● Organized and led quarterly events for 300+ participants, ensuring seamless execution and engagement.
● Facilitated 10+ seminars and workshops, enhancing campus awareness of Dell’s technology and opportunities.
● Routinely addressed student queries, acting as a key liaison between students and Dell representatives.


## Education
### Master of Science - MS in Computer Science
University of Maryland Baltimore County

### Bachelor of Engineering - BE in Computer Science
Savitribai Phule Pune University


## Contact & Social
- LinkedIn: https://linkedin.com/in/mohit-patil-b5b575170

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Source: https://flows.cv/mohitpatil
JSON Resume: https://flows.cv/mohitpatil/resume.json
Last updated: 2026-04-11