**Dipak Sairamesh**
+1 (857) 308-8338
dipak.sairamesh@gmail.com
LinkedIn | GitHub | Website

### **SUMMARY**
Analytical and results-driven professional with 3 years of experience in software engineering, testing, agile development, big data technologies, and mentoring junior team members. Expertise in designing and integrating robotic systems using Python and advanced AI techniques. Skilled in implementing data-driven solutions and optimizing performance in fast-paced environments.

### **EDUCATION**
**Northeastern University** – Boston, MA
*Master of Science, Artificial Intelligence and Robotics* – Dec 2023
- Graduate Assistant: Human-Computer Interaction, Khoury College of Computer Sciences
- Relevant Coursework: Computer Vision, Control Systems, Reinforcement Learning, Robot Mechanics

**PES University** – India
*Bachelor of Technology, Mechanical Engineering* – May 2018

### **SKILLS**
**Programming Languages:** Python, MATLAB, SQL, Java, C++, HTML, CSS
**Libraries:** NumPy, SciPy, Matplotlib, Seaborn, OpenCV, pandas, scikit-learn
**Frameworks:** PyTorch, TensorFlow, Keras, Hugging Face, NLP, LLM, ROS
**Tools:** SolidWorks, AutoCAD, Fusion 360, Adobe Creative, Git, Visio, Figma
**Cloud & DevOps:** AWS, Azure, GCP, JIRA, Docker, Kubernetes, VMware
**Other:** 3D Printing, Laser Cutting, CNC Routing, CAD/CAM, ANSYS, RESTful API

### **WORK EXPERIENCE**
**Northeastern University** – Boston, MA
*Makerspace Specialist* – Jan 2023 – June 2023
- Streamlined rapid prototyping using A/B testing, optimizing machinery allocation and fabrication speed by 60%
- Conducted demonstrations on Generative AI, prompt engineering, and diffusion models for 250+ peers
- Led strategic planning for a new Creative Technology Lab, managing budget, inventory, and procurement

**Aruba Networks** – India
*Software Engineer* – Feb 2019 – July 2021
- Co-engineered an AIOps-powered network monitoring solution, improving user experience by 75%
- Deployed ML models to reduce support response time by 25% via proactive threshold-based alerts
- Automated IoT data pipelines, achieving 33% faster post-migration validation
- Designed Tableau/Power BI dashboards, expanding security insights by 20%
- Mentored a 12-member team in predictive spectrum analysis, improving resource utilization by 50%

### **PROJECTS**
**Crater Observing Bio-Inspired Rolling Articulator (COBRA)**
- Developed perception modules for object detection and path planning with 80% mIoU using deep learning and OpenVino

**Autonomous Mobile Robot (TurtleBot)**
- Implemented 95% target detection rate using SLAM, sensor fusion, and Raspberry Pi

### **CERTIFICATIONS**
- **Data Analysis with Python** – freeCodeCamp (Apr 2024)
- **Machine Learning with Python** – freeCodeCamp (May 2024)
- **LEAD360** – Graduate Leadership Institute (Apr 2022)

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