**Jawahar Pinnelli**
jawahar.pinnelli@gmail.com | 732-522-7016
linkedin.com/in/jawahar-pinnelli | github.com/jawahar37

### PROFESSIONAL EXPERIENCE

**SAP Labs India, Bangalore**
*Software Developer | Oct 2018 - Mar 2021*
- Developed and tested integration projects using Microservices, RESTful, and SOAP APIs to create scalable data communication channels between large CRM and ERP systems.
- Implemented lightweight data pipelines in Java, Groovy, and SAP Cloud Platform Integration, deployed on Kubernetes for businesses of all sizes. Delivered multiple projects in Agile.
- Liaised between product teams to resolve blockers in Spring extension architecture planning.
- Executed a novel three-system integration project, extending typical two-system architectures and creating new design/testing paradigms.
- Reduced project analysis effort by 80% for on-premise to cloud migration with an automation program parsing legacy code.
- Led training sessions on cloud architecture and created documentation for new hires.

*Software Development Intern | Jan 2018 - Jul 2018*
- Resolved JavaScript bugs for an SAP product generating business reports.
- Prototyped a recommender model in Python using collaborative filtering.

**Gramiksha, Jaipur**
*Front-End Web Development Intern | Jun 2017 - Aug 2017*
- Developed an outreach website and blog for a national non-profit using CSS3 and Bootstrap for responsive layouts.

### EDUCATION

**Rutgers University, New Brunswick, NJ**
*MSc in Computer Science | GPA: 3.79/4 | Sep 2022 - May 2024*
Courses: AI, Data Science, Machine Learning, Robotics, OS Design, Compilers.

**Manipal Institute of Technology, India**
*BTech in Computer Science | Minor: Intelligent Systems | CGPA: 7.88/10 | Aug 2014 - Jul 2018*
Courses: Machine Learning, Distributed Computing, NLP, Business Intelligence.

### PROJECTS

- **Sequential Recommendation with Transformers**: Trained a transformer-based neural network for purchase recommendations.
- **Robot Locomotion with Obstacle Avoidance**: Used reinforcement learning in NVIDIA Isaac Gym to train a robotic dog.
- **Generative Drawings with Canvas**: Interactive HTML5 Canvas experiments using JavaScript and Svelte.
- **MapReduce using CUDA & MPI**: Parallelized preprocessing (CPU) and core computation (GPU) in C++.
- **Introducing Serendipity into Recommender Systems**: Seminar on subjective criteria in recommender systems.

### TECHNICAL SKILLS

- **Languages**: Java, Python, JavaScript, C/C++, R, Julia, C#, Shell.
- **Systems/Libraries**: Git, Spring, CI/CD, Kubernetes, Docker, TensorFlow, PyTorch, Pandas, CUDA.
- **Web Development**: HTML/CSS, REST APIs, React, Svelte, Django, Flask, NoSQL.

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