**KISHORE KUMAAR NATARAJAN**
San Jose, CA
510-386-5844
kishore.nat98@gmail.com
linkedin.com/in/kishorekumaar/

### **EDUCATION**
**San Jose State University** | *Jan 2022 – Dec 2023*
Master of Science, Artificial Intelligence (Computer Engineering), GPA: 3.57/4.0
- Courses: Deep Learning, NLP, Computer Vision, Machine Learning, Reinforcement Learning.
- Thesis: Implemented car braking system using MADDPG, reducing stick-slip friction vibrations by 92%.

**Sathyabama Institute of Science and Technology** | *Jul 2016 – May 2020*
Bachelor of Engineering, Computer Science, GPA: 3.83/4.0
- Courses: DBMS, Data Structures, Data Mining, Probability & Statistics.

### **WORK EXPERIENCE**
**Nissan Group North America, Inc** | *Santa Clara, CA*
*Software Engineer, AI Research & Applications (Intern)* | *Dec 2023 – May 2024*
- Developed DL model for automated mode transitions, reducing memory/runtime by 80% using RL.
- Improved Mode Planner’s scenario understanding by 50% via neural architectures (Transformers, CLIP).
- Deployed optimized ML models in production vehicles (35% performance gain) using LoRA, Docker, Kubernetes.
- Conducted A/B testing, boosting user retention by 40%.

**San Jose State University** | *San Jose, CA*
*Research Assistant* | *May 2023 – Aug 2023*
- Built voice-controlled wearable robot (30% task performance boost) with real-time object detection (YOLOv8, 85% IoU).
- Achieved 80% voice command accuracy using 10K+ audio clips and Faiss for LSH-based search (60% improvement).

**Atlassian (Cognizant)** | *Chennai, India*
*Programmer Analyst* | *Jan 2020 – Dec 2021*
- Built customer attrition model (Random Forest/XGBoost) improving retention by 12 basis points.
- Launched Tableau dashboards with Databricks for KPI forecasting, increasing service opt-ins by 18%.
- Developed recommendation engine generating $225K annual revenue.

### **SKILLS**
**Programming:** Python, C/C++, Java, R, Rust, Linux, ROS
**Databases:** MySQL, PostgreSQL, Redis, Pinecone, ChromaDB
**Frameworks:** PyTorch, TensorFlow, LangChain, LlamaIndex, Flask, Keras, Scikit-Learn
**Gen AI/LLMs:** Llama2, Mistral, OpenAI, Gemini
**Deployment:** AWS, Azure, Docker, Kubernetes, Hugging Face

### **PUBLICATIONS**
- *Improving Safety of Intelligent Car Brakes by Reinforcement Learning* ([Paper](Link))
- *Multi-Agent Distributed RL for Soccer Robots* ([Demo 1](Link), [Demo 2](Link), [Paper](Link))

*(Links to be included as hyperlinks in final version)*

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