**Shreya Krishna**
Phone: 408-515-0245
Email: skris142@asu.edu
LinkedIn: [LinkedIn Profile]
GitHub: [GitHub Profile]

### **Technical Skills**
**Programming Languages & OS:** Python, Java, C++, Linux, MacOS, SQL, ASP.Net, AngularJS, JavaScript, HTML, CSS
**Tools & Technologies:** TensorFlow, PyTorch, OpenCV, LLM, Web Development, MATLAB, Docker, Git, Arduino, Jira, MS Word, Excel

### **Professional Experience**
**Nexgen Inc, Kochi, India** – *Training Internship* (Mar 2020 – Nov 2020)
- Developed 2 features for an API-based online CRM tool using ASP.NET and JavaScript, integrated with a relational database.
- Served as a Field Application Engineer for the Online Planogram Creator, resolving 65% of client issues.
- Collaborated with 3 cross-functional teams (Business, Technical, Testing) on the new version of the planogram creator.

**Fuzzy Logix, Bangalore, India** – *Summer Internship* (May 2018 – Jul 2018)
- Produced visualizations for FLADE project using Java and SQL-based DBLytix library.
- Improved user-friendliness by 5% for exploratory analysis and machine learning on databases.

**IIT Kharagpur, India** – *Summer Internship* (Jun 2017 – Jul 2017)
- Led Software Reliability Testing, analyzing 136 faults using CASRE tool and generating insights.

### **Projects**
**Key-point Detection** (Sept 2023 – Dec 2023)
- Trained HRNET model for pose estimation (81.7 mAP), deployed on Raspberry Pi 4 with webcam input.

**Perceptron PI Tuning** (Sept 2023 – Dec 2023)
- Tuned PI values for DC motors using perceptron (converged in 300 epochs), implemented on Arduino Mega 2560.

**3D Object Detection** (Jan 2023 – May 2023)
- Developed bird’s-eye view detection for autonomous vehicles, reducing equipment needs by 20% (83% accuracy improvement).

**AI Project** (Jan 2023 – May 2023)
- Implemented search, planning, and RL algorithms on TurtleBot, optimizing performance in non-deterministic environments (90% test improvement).

**Robot Learning** (Sept 2022 – Dec 2022)
- Trained Behavior Cloning models for "pick and place" tasks, generalizing to unseen block colors.

**Thermal Image Enhancement** (Jan 2020 – Apr 2020)
- Improved thermal image clarity by 60% using GANs.

**Cryptocurrency Framework** (Jan 2019 – Apr 2019)
- Built a blockchain-based framework with customizable proof-of-work and SHA-256 encryption.

### **Publications**
1. *"Software Reliability Growth Modeling: Comparison Between Non-Linear-Regression and Maximum-Likelihood Estimator Procedures"* – SAE Technical Paper 2018-01-1772.
2. *"Overview of Automotive AI: Adapting Deep Learning from Gaming"* – SAE Technical Paper 2019-01-5009.

### **Education**
**Arizona State University, Tempe, AZ**
*MS in Robotics & Autonomous Systems (AI Focus)* | Aug 2022 – May 2024 | GPA: 3.73/4
**Courses:** AI, Perception in Robotics, Embedded ML, Deep Learning, Mechatronics

**Cochin University of Science & Technology, India**
*BTech in Computer Science* | Aug 2016 – Apr 2020 | GPA: 3.58/4
**Courses:** Data Structures, Databases, Cryptography, Data Mining, OS, Networks

no comments

✔ list