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Harikishan Kalyan

@harikishankalyan

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Applied AI researcher and data scientist specializing in energy-efficient smart building systems.

Singapore

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What I'm looking for

I seek roles applying ML and control to energy and smart-building problems, with opportunities to deploy scalable solutions, drive measurable efficiency gains, and collaborate across research and engineering teams.

I am an applied AI researcher and data scientist focused on energy-efficient smart building systems and grid optimization. I combine statistical modelling and machine learning with control methods to deliver measurable energy savings and operational improvements.

At the Energy Research Institute at NTU I developed a meta-learning regression framework for load and PV forecasting that blended multiple models and achieved 30–50% MAE reduction versus single-model baselines. I also engineered reinforcement learning–based control concepts for peak demand reduction, demand response, and renewable integration.

As a Data Scientist at Resync Technologies I developed and fine-tuned heuristic and AI-driven HVAC optimization algorithms that delivered over 20% HVAC energy savings across ten facilities and deployed time-series forecasting and real-time monitoring dashboards for multi-site performance tracking.

I have built TinyML vision inspection solutions and PPE detection systems during industry internships, and I hold certifications including PMP, CEM (Singapore), AWS Cloud Practitioner, and Six Sigma Green Belt. I bring hands-on engineering, research deployment experience, and a track record of translating algorithms into scalable, cost-effective solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist for Smart Buildings

Current

Resync Technologies

Oct 2025 - Present (4 months)

Led deployment of HVAC energy optimization across sites in Singapore, Indonesia and Thailand, performing EDA on chiller/HVAC consumption and benchmarking models to identify inefficiencies and savings opportunities.

Time Series Python InfluxDB Grafana Model Evaluation Cross Site Deployment

Data Scientist for Smart Buildings

Resync Technologies

Jan 2024 - Oct 2025 (1 year 9 months)

Developed and fine-tuned AI-driven HVAC optimization algorithms delivering >20% HVAC energy savings across 10 facilities and designed time-series forecasting and dashboards to monitor real-time energy performance.

Time Series Python Data Analysis Dashboarding TensorFlow

Research Engineer II

Energy Research Institute at NTU

Aug 2018 - Dec 2022 (4 years 4 months)

Developed a meta-learning regression framework for load and PV forecasting that reduced MAE by 30–50% versus single-model baselines and engineered reinforcement-learning control concepts for peak demand reduction and renewable integration in smart buildings.

Reinforcement Learning Python TensorFlow PyTorch Energy Systems

Smart Automation Intern

Philips

Jan 2022 - Jun 2022 (5 months)

Designed a TinyML vision inspection camera using TensorFlow Lite that improved defect detection accuracy by 20% and reduced costs by 80% for real-time manufacturing quality inspection.

TinyML Tensorflow Lite Computer Vision Embedded Systems Python

AI Engineer Intern

Panasonic R&D Centre Singapore

May 2021 - Dec 2021 (7 months)

Built object detection/classification for PPE monitoring, performed multimodal CV+NLP sentiment analysis, and visualized deep learning feature maps to improve image classification robustness.

Object Detection Computer Vision NLP Data Collection Class Activation Mapping Python