Yash Kamoji
Versatile and results-driven software developer with 5+ years of industry experience and a strong academic foundation in machine learning, computer vision, and big data technologies. Adept at designing scalable models, visualizing insights, and leveraging statistical analysis to drive business decisions. Skilled in Java, Python, SQL, and cloud computing (AWS).
Education
University of Massachusetts, Amherst
GPA: 4.0 / 4.0
| Computer Vision | Information Retrieval | Neural Networks |
| Intelligent Visual Computing | Machine Learning | Algorithms for Data Science |
| Systems for Data Science | Applied Statistics | Business Analytics |
| Data Visualization & Exploration |
Manipal Institute of Technology
CGPA: 8.47 / 10.0
- Volunteered in TechTatva ’13, supervised Infodesk at Revels ’14
- System Admin for Revels ’15, gaming organizer in Prometheus 3.0 ’16
- Participated in 2 Microsoft Hackathons – built Azure cloud apps.
- Trainings: Cybersecurity (encryption/decryption), Python workshops, ML (clustering), Adobe Photoshop.
- Designed posters for RedXManipal Club
Experience
Lead Developer (Apple)
Led the integration of AppDynamics for real-time system monitoring and implemented optimized data access layers using advanced SQL, MongoDB, and custom caching for high-throughput retrieval. Developed Python automation scripts to validate backend logic and streamline data pipeline integration, enabling BI teams to deliver dashboards and KPI reports aligned with business objectives.
Junior Developer (Apple)
Developed and maintained robust ETL pipelines to enable efficient data ingestion, transformation, and analytics across systems, ensuring low-latency delivery to analytics teams. Supported application reliability through automated testing (JUnit, SonarQube) and real-time simulations via SIMRUN, while contributing to backend logic and system integration.
Software Developer Intern
Developed a healthcare analytics app using C#/.NET and MongoDB to deliver real-time metrics to 100+ hospitals, and built fault-tolerant data pipelines for synchronized, multi-region data collection. Deployed supervised ML models to forecast patient health trends, integrating insights into clinical dashboards via .NET APIs after performing data wrangling and exploratory analysis.
Full Stack Developer Intern
Implemented a data mining application to analyze user search behavior and deliver personalized recommendations via email and push notifications. Automated Excel-based data workflows using Python scripts integrated into a DevOps pipeline, and modernized the web platform with updated frontend and backend technologies.
Projects
Skills
- Critical Thinking
- Time Management
- Adaptability
- Agile Development & Scrum
Awars & Certifications
