Experience

Here is my list of experiences
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Software Engineering Intern @ CerebrumX

Developed PyTorch ML model determining tire pressure via vehicle trip data, ensuring earlier and faster diagnosis
Assembled and analyzed 10+ vehicle APIs according to different company OEMs and its offerings
Fine-tuned fleet product documentation resulting in better visualization of presentation data

Developed PyTorch ML model determining tire pressure via vehicle trip data, ensuring earlier and faster diagnosis
Assembled and analyzed 10+ vehicle APIs according to different company OEMs and its offerings
Fine-tuned fleet product documentation resulting in better visualization of presentation data

Developed PyTorch ML model determining tire pressure via vehicle trip data, ensuring earlier and faster diagnosis
Assembled and analyzed 10+ vehicle APIs according to different company OEMs and its offerings
Fine-tuned fleet product documentation resulting in better visualization of presentation data

Developed PyTorch ML model determining tire pressure via vehicle trip data, ensuring earlier and faster diagnosis
Assembled and analyzed 10+ vehicle APIs according to different company OEMs and its offerings
Fine-tuned fleet product documentation resulting in better visualization of presentation data

Built a full stack AI software with PyTorch, Flask, and ReactJS to decrease misdiagnoses of severe mental health concerns with emphasis on rural areas that lacks effective medical care
Implemented open-source AI computer vision model in PyTorch that accurately tracks eye direction pose estimation which results in +90% eye tracking accuracy
Merged Namecheap domain with Amazon AWS beanstalk and backend via AWS Route 53
Orchestrated with experts in neuroscience and psychiatry attaining research data access

Architected PowerBI based centralized data management system
Engineered automatic distance calculations via Google Maps API ensuring accurate carbon emissions, resulting in 3x improved accuracy and 10x boosted deployment speed
Collaborated with staff and stakeholders for analyzing KPI metrics data

Developed scikit-learn ML models predicting how driver characteristics impact driver performance in CAV systems
Utilized Google Colab workspace ecosystem for collaborative prototyping of the ML model in 10+ size team

Developed mobile application software incorporating Artificial Intelligence for social good in 30+ size team
Built Quiz View Front-end Application in Flutter, connected back-end systems with frontend UI via Firebase

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