Technical Stack
Technical Skills & Expertise
A comprehensive overview of programming languages, machine learning frameworks, computer vision toolkits, robotics, and core CS foundations.
70+
Verified hands-on technologies
11
Categorized stack areas
AI / ML & Robotics
CV, ROS2, Deep Learning & NLP
Verified Stack
No arbitrary percentage numbers
Programming
5 SkillsCore languages for algorithm implementation and system development
AI / Machine Learning
10 SkillsDeep learning, generative models, and intelligent agent architectures
Computer Vision
10 SkillsReal-time object detection, segmentation, and visual processing models
Speech / Multimodal AI
3 SkillsAudio processing, speech synthesis, and cross-modal translation
Data Science
6 SkillsExploratory data analysis, statistical visualization, and feature engineering
Frameworks / Libraries
6 SkillsDeep learning libraries, neural network APIs, and detection toolkits
Backend / APIs / Deployment
5 SkillsAPI microservices, containerization, and cloud deployment pipelines
Databases
5 SkillsRelational, document, vector, and cloud database engines for application data
Robotics & Automation
6 SkillsROS2 communication nodes, sensor fusion, and autonomous systems
Tools / Platforms
9 SkillsDeveloper tooling, model training platforms, and BI dashboards
CS Foundations
5 SkillsCore computer science principles, system architecture, and network theory
Applied Stack Summary for Technical Evaluation
Sujan K S combines deep learning fundamentals with hands-on computer vision (YOLOv8, OpenCV), multilingual speech & transformer pipelines (T5), robotics OS (ROS2), and clean backend software practices (FastAPI, Docker, SQL).