Personal Profile
Sujan KS
AI & Machine Learning Developer based in Karnataka, India — passionate about building practical intelligent systems across vision, NLP, generative models, and robotics.
Building practical AI, visual intelligence & robotics systems.
B.Tech in Artificial Intelligence & Machine Learning at N.M.A.M. Institute of Technology, Nitte (2023–2027).
1. About Me
Intelligent Systems Developer
Sujan is an AI and Machine Learning developer who enjoys building intelligent systems across Computer Vision, Deep Learning, NLP, Generative AI, Speech AI, and Robotics.
With hands-on experience in real-world AI applications, Sujan has a growing focus on robotics, automation, ROS2, RAG/LLM architectures, and multilingual AI models designed to solve impactful problems.
2. Education
B.Tech in Artificial Intelligence & Machine Learning
N.M.A.M. Institute of Technology, Nitte
3. Work Experience
FlyRank AI — Machine Learning Intern
- • Worked on a machine learning system for Google Search performance and webpage prioritization.
- • Performed data analysis, feature engineering, data validation, and target-leakage detection on large-scale search data.
- • Compared ML models including Random Forest, XGBoost, LightGBM, CatBoost, and Logistic Regression.
- • Used 5-fold client-grouped validation to improve evaluation reliability.
- • Achieved Precision@50 of 0.444 compared with a 0.392 baseline (+5.2 percentage points).
- • Built a human-in-the-loop content prioritization workflow for SEO review.
AI/ML Intern — ISIRI Technologies Pvt. Ltd. (AyusLab)
Mangaluru, Karnataka
- • Developed a hybrid AI-based invoice parsing system to extract structured data from PDF, image, Excel, and CSV invoices.
- • Implemented OCR, NLP preprocessing, regex/rule-based extraction, validation, and LLM-based fallback to improve extraction reliability.
- • Extracted key invoice fields including supplier/buyer details, invoice information, line items, pricing, GST/tax, and totals, and converted them into structured JSON.
- • Built FastAPI REST APIs with Pydantic validation and deployed the backend using Docker on Render.
- • Integrated validation and quality checks to identify missing or inconsistent critical invoice information before generating the final output.
EdiGlobe — Machine Learning Intern
Project: Heart Disease Detection using Machine Learning
- • Worked on a machine learning project for heart disease risk prediction using structured/tabular health-related data.
- • Performed basic data preprocessing, exploratory data analysis, feature preparation, and model training.
- • Experimented with classification models and evaluated their predictions using standard classification metrics.
- • Worked with Python and common machine learning/data analysis libraries.
- • Gained practical experience in the end-to-end machine learning workflow, from data preprocessing to model evaluation.
4. What I Build
Practical AI systems across computer vision, NLP, speech processing, and generative adversarial models.
GeoSentinel
Computer VisionLandslide detection and terrain hazard monitoring using YOLOv8 instance segmentation.
SmartQ Generator
Multilingual NLPAutomated question generation pipeline powered by T5 transformer, STT, and text-to-speech.
AI Human Face Generation
Generative AISynthetic human face generation model built with WGAN-GP and TensorFlow.
5. Currently Exploring
Active areas of research, technical depth expansion, and personal growth topics.
6. My Journey
Started B.Tech in AI & ML
Commenced B.Tech in AIML at NMAMIT Nitte. Built strong foundations in programming, mathematics, and CS.
ML Internship & AI Projects
EdiGlobe ML internship, built GeoSentinel computer vision & SmartQ Generator NLP systems.
FlyRank + AyushLab Internships
Hands-on AI/ML internships at FlyRank (SEO risk ML) and AyushLab / ISIRI Technologies (Invoice Parser).
Robotics & Advanced AI
Exploration of ROS2 robotics, reinforcement learning, RAG/LLM pipelines, and Japanese language learning.
7. Beyond Code
Rajya Puraskar & Scouting
Awarded the Rajya Puraskar (State Governor Award) in Bharat Scouts & Guides, demonstrating leadership, service, and outdoor survival skills.
Tech Awareness Sessions
Conducting technology awareness sessions and digital literacy initiatives for government school students.
Problem Solving & DSA
Active problem solving focusing on Data Structures & Algorithms, computer science fundamentals, and optimization logic.
Japanese Language Learning
Actively learning the Japanese language, vocabulary, and communication to expand global cultural and technical horizons.