Suujay Dhhoka
AI & Robotics Engineer | Edge Computing | MLOps | Cloud AI | Rutgers ECE
Summary
Passionate Master’s student in Electrical and Computer Engineering at Rutgers University, specializing in machine learning, cloud computing and robotics. Experienced in robotic arm automation, reinforcement learning, and deep learning with practical industry exposure. Skilled in AI frameworks like PyTorch and TensorFlow, cloud platforms (AWS, Azure), and edge computing integration. Demonstrated ability to mentor students, lead projects, and deliver innovative solutions. Eager to apply technical expertise to solve real-world problems, particularly at the intersection of AI and finance, while continuously growing through collaboration and cutting-edge research.
Top Skills
Machine Learning & AI
Model training, fine-tuning LLMs, deep learning (CNNs), reinforcement learning, PyTorch, TensorFlow, scikit-learn.
Robot Systems & Control
Control algorithms, SLAM-based navigation, ROS, closed-loop process control.
Programming Proficiency
Python, C++, Java, ROS, and MATLAB.
Cloud & Edge Computing
AWS, Azure, Docker, Kubernetes, secure cloud-edge integration.
Computer Vision & Sensors
OpenCV, GStreamer, YOLOv8, camera, LIDAR integration.
Data Engineering
Spark, Pandas, NumPy, Snowflake, data pipeline development for AI/ML.
Experience: Rutgers University–New Brunswick
1
Graduate Exam Administrator
September 2024 - Present (1 year 3 months)
Monitored 1500+ students, enforcing protocols and minimizing disruptions for academic integrity. Collaborated with faculty to optimize exam processes and resolved conflicts. Documented incidents for continuous improvement in administration.
2
Graduate Teaching Assistant
February 2024 - Present (1 year 9 months)
Mentored 550+ students across multiple technical courses, improving academic performance by 30% through interactive learning and practical workshops. Guided students in developing machine learning and computer vision projects utilizing industry-standard frameworks and tools such as OpenCV, PyTorch, TensorFlow, and cloud platforms like AWS and Azure.
Experience: Internships
1
Machine Learning Engineer Intern
June 2025 - December 2025
Built and deployed ML-powered plugins using Python and AWS to automate rendering workflows, improving pipeline efficiency by 30%. Developed cloud-based render optimization and model inference pipelines on AWS SageMaker, cutting manual processing by 40% and streamlining deployment cycles. Collaborated with cross-functional teams to train, fine-tune, and integrate ML models for predictive analytics and creative automation, boosting production quality and decision-making.
2
Research Internship in Robotics
Vishwakarma Institute of Information Technology
October 2022 - December 2022 (3 months)
Operated and programmed a robotic arm (Dobot) to perform automation tasks, including color sorting, stacking, drawing, and printing, improving task accuracy and efficiency. Developed and integrated solutions using Python and ROS to enhance robotic system performance and automate complex operations. Gained hands-on experience in robotic process automation (RPA), leveraging ROS Pi and Python scripting to optimize workflows and enhance system functionality.
3
Cloud Intern
IBN Technologies Limited
July 2022 - December 2023 (18 months)
Built cloud-native applications and data pipelines using Azure and Snowflake, enabling scalable financial workflows. Automated IT service delivery processes using scripting and DevOps tools, improving deployment speed and reliability. Deployed containerized ML inference services on Azure Kubernetes Service (AKS), enabling real-time edge-cloud analytics with 95% uptime for production workloads.
Key Projects
Robotic Arm Automation
Automating complex tasks using Python & ROS for robotic arm control.
AI-Powered Supply Chain Dashboard
Developed anomaly detection and forecasting pipeline with LSTM models and dashboard UI.
Fine-Tuned Sentiment Classifier
Achieved 0.91 F1 score with BERT fine-tuning; deployed FastAPI microservice handling 200+ requests/sec.
Campus Guide Robot
Built navigation and perception stack with SLAM, YOLOv8, and intelligent dialogue system, increasing engagement by 30%.
Education
Rutgers University–New Brunswick
Master of Science - MS, Electrical & Computer Engineering
January 2024 - May 2026
Vishwakarma Institute of Information Technology
Bachelor of Technology - BTech, Electronics and TeleCommunication
2019 - 2023
Certifications
Fundamentals of Dynamic Programming
Generative AI with Large Language Models
Mathematics for Machine Learning & MLOps
AWS Certified Machine Learning Engineer- Associate
Google Cloud- Professional Machine Learning Engineer
Graduate certificate in Socially Cognizant Robotics
Publications
- Applications of a Robotic Arm (A Dobot)
- Assessment of Robotic Arm and its Parameters
- Ball Following Robot using ESP32-cam & Arduino UNO
Languages & Contact
Languages
- English (Full Professional Proficiency)
- German (Full Professional Proficiency)
- Spanish (Elementary Proficiency)
- Hindi (Full Professional Proficiency)