Roya Kandalan

Product Manager

Boston, Massachusetts, United States12 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and Machine Learning.
Over 10 years of experience in AI and education.
Proven track record in developing innovative healthcare solutions.

Stackforce AI infers this person is a Healthcare AI Specialist with expertise in Generative AI and Machine Learning.

Contact

Skills

Core Skills

Generative AiMachine Learning AlgorithmsApplied Research

Other Skills

Applied SciencesComputer VisionAgentsHealth InsuranceNatural LanguageProject LeadershipRetrieval-Augmented Generation (RAG)CommunicationNatural Language Processing (NLP)LangChainLarge Language Models (LLM)Fine TuningHuman Computer InteractionResponsible AIHealthcare

About

Twitter : @roya_kandalan Bluesky: @roya90.bsky.social Opinions and views expressed here included but not limited to my lectures and public activities are solely my own and do not reflect those of my current or past employers or any affiliations. ________________________________________________________________________________________ I firmly believe every problem has a solution, and I am deeply committed to finding it. With a solid background in mathematics and statistics, I excel at breaking down complex problems into manageable pieces. Leveraging my coding skills and expertise in artificial intelligence and machine learning algorithms, I can uncover efficient solutions within tight timelines. Each new challenge ignites my sense of adventure, and I relentlessly pursue resolutions. My unwavering determination and analytical mindset enable me to confidently navigate uncharted territories. I continuously push the boundaries of problem-solving, leveraging my diverse skill set to overcome obstacles and deliver optimal outcomes. If you're seeking a tenacious problem solver who thrives on conquering challenges, let's connect and explore opportunities together.

Experience

12 yrs 1 mo

Total Experience

1 yr 9 mos

Average Tenure

4 mos

Current Experience

Northeastern university

Adjunct Professor

Jan 2026 – Present · 4 mos · Boston, Massachusetts, United States · On-site

.

Generative AI Applied Scientist

Jun 2025 – Present · 11 mos · Greater Boston

The cigna group

AI Strategy Lead

Mar 2024 – May 2025 · 1 yr 2 mos · Greater Boston · Remote

Applied SciencesComputer VisionAgentsHealth InsuranceNatural LanguageProject Leadership+12

Aware, inc.

2 roles

Senior AI/ML Research Scientist

Feb 2022 – Mar 2024 · 2 yrs 1 mo

Designing face image augmentation techniques using deep learning (GAN) utilizing TF2 and OpenCV
Design and development of end-to-end emulator detection algorithms
Developed behavioral biometrics applied to cellular devices for security using machine learning techniques

Applied SciencesUser BehaviorOpenCVCommunicationPattern RecognitionMachine Learning Algorithms+4

AI/ML Research Scientist

Jun 2020 – Feb 2022 · 1 yr 8 mos

Designed continuous authentications systems for mobile gadgets by accessing and interpreting behavioral sensors
Implemented multiple anomaly detection algorithms on Android cellphones to identify and block spoof attempts
Developed internal android applications for data collection, development, and testing

Applied SciencesOpenCVCommunicationPattern RecognitionMachine Learning AlgorithmsApplied Research+3

The university of texas southwestern medical center at dallas

2 roles

Research collaborator

Jan 2019 – May 2020 · 1 yr 4 mos · Dallas/Fort Worth Area

Data-driven deep learning framework for radiation dose prediction prostate cancer received VMAT treatments
Three-dimensional radiation dose prediction with deep learning for lung cancer

Applied SciencesCommunicationMachine Learning AlgorithmsApplied ResearchResearchData Engineering+2

Internship

May 2018 – Aug 2018 · 3 mos · Dallas

Developed a data-driven deep learning framework to generate dose distributions in radiation therapy for prostate cancer receiving VMAT treatments

CommunicationMachine Learning AlgorithmsResearchResponsible AIHealthcare

University of north texas

3 roles

Graduate Research Assistant and Teaching Fellow

Promoted

Aug 2018 – May 2020 · 1 yr 9 mos · Dallas/Fort Worth Area

Visually impaired navigation assistive technology using smartphones
Design and implementation of a location estimation based on fingerprinting and crowdsourcing, path planner for indoor navigation, obstacle avoidance using object detection networks, and speech recognition.
Collective decision making in a wireless sensor network
Leader-follower model with leaders who has the most impact.
Mathematical model to improve consensus for evolving systems
Impact of a random movement of a mobile leader in a leader-follower structure
System modeling and PID controller design
System model for an EV3 robot and PID controllers
CW laser for UV spectroscopy
Low energy PID for controlling temperature and stabilizing systems for high power lasers
Supervising a group of students in a wide variety of Machine learning, Artificial Intelligence, and statistical algorithms (LSTM, CNN, RNN, GAN, SVM, …)
Helped PI secure grant funding by skillfully leading a team of researchers to develop the software packages on time