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I am a Data Science and AI graduate with hands-on experience in natural language processing, reinforcement learning, and deploying real-world AI systems. I enjoy building reliable AI that can adapt to diverse user needs and operate safely in changing real-world contexts. My current focus is AI alignment and human-centered machine learning, with a strong interest in dynamic personalization, tone adaptation, and responsible AI design. I thrive in collaborative research environments and aim to deepen my skills in alignment research while delivering practical, user-friendly AI solutions.…I am a Data Science and AI graduate with hands-on experience in natural language processing, reinforcement learning, and deploying real-world AI systems. I enjoy building reliable AI that can adapt to diverse user needs and operate safely in changing real-world contexts. My current focus is AI alignment and human-centered machine learning, with a strong interest in dynamic personalization, tone adaptation, and responsible AI design. I thrive in collaborative research environments and aim to deepen my skills in alignment research while delivering practical, user-friendly AI solutions.

Vihindi Kotalawala

Data Scientist, AI Engineer, AI Developer, +2

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I am a Data Science and AI graduate with hands-on experience in natural language processing, reinforcement learning, and deploying real-world AI systems. I enjoy building reliable AI that can adapt to diverse user needs and operate safely in changing real-world contexts. My current focus is AI alignment and human-centered machine learning, with a strong interest in dynamic personalization, tone adaptation, and responsible AI design. I thrive in collaborative research environments and aim to deepen my skills in alignment research while delivering practical, user-friendly AI solutions.…I am a Data Science and AI graduate with hands-on experience in natural language processing, reinforcement learning, and deploying real-world AI systems. I enjoy building reliable AI that can adapt to diverse user needs and operate safely in changing real-world contexts. My current focus is AI alignment and human-centered machine learning, with a strong interest in dynamic personalization, tone adaptation, and responsible AI design. I thrive in collaborative research environments and aim to deepen my skills in alignment research while delivering practical, user-friendly AI solutions.

Available to hire

I am a Data Science and AI graduate with hands-on experience in natural language processing, reinforcement learning, and deploying real-world AI systems. I enjoy building reliable AI that can adapt to diverse user needs and operate safely in changing real-world contexts.

My current focus is AI alignment and human-centered machine learning, with a strong interest in dynamic personalization, tone adaptation, and responsible AI design. I thrive in collaborative research environments and aim to deepen my skills in alignment research while delivering practical, user-friendly AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist - Intern at Rootcode PVT Ltd

June 1, 2024 - June 1, 2025

Developed a microservices-based urban complaint management system enabling automated classification, description generation, translation, and department routing using LLM-powered FastAPI services. Implemented AI pipelines for complaint understanding including image-text based classification, similar issue detection, and intelligent department routing based on location and category context. Designed an anonymization module using YOLO and NER to remove sensitive information from images and text before processing and storage. Built scalable backend architecture using FastAPI microservices with PostgreSQL for structured data storage and MinIO for distributed object storage. Awarded Gold Award at NBQSA 2025 in the Citizen Services category for this product.

Research Intern at Neuragrid

January 1, 2024 - January 1, 2025

Researched existing grid utility management solutions and explored multi-agent reinforcement learning approaches for automated power-grid decision-making, focusing on agent coordination, communication, and action-space reduction.