Harmanpreet Singh

CTO

India10 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building AI-driven logistics systems.
Proven track record in predictive modeling and data architecture.
Strong mentor with a focus on system performance.

Stackforce AI infers this person is a Logistics Data Engineer with expertise in AI and Machine Learning.

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Skills

Core Skills

Machine LearningData Engineering

Other Skills

AI & ML SystemsAlgorithmsBit bucketCC++Computer EngineeringComputer ScienceData ArchitectureData Engineering (Pipelines, ETL)Data StructuresGeospatial Data EngineeringGitHTMLHiveIOT Analytics & Geofencing

About

I design and scale intelligent data systems that unite software engineering, AI, and logistics intelligence. At WiseTech Global, I build ML-driven data platforms that forecast container demand and generate real-time supply-chain events from IoT analytics. Previously at Blume Global, I architected the end-to-end Ocean Tracking System and Dynamic ETA models powering Blume Maps (https://www.blumemaps.com). My focus lies at the intersection of architecture, AI, and system performance—turning complex operational data into scalable, production-grade intelligence. I enjoy mentoring engineers and creating systems that blend robustness with insight. Focus Areas: AI for Logistics · System Architecture · Data Engineering · IoT Analytics · Machine Learning · Scalable Platforms

Experience

Wisetech global

Software Engineering Team Leader

Apr 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

Contributing to the design and evolution of AI-driven data systems across WiseTech’s logistics platform.
Extending and productionizing vessel berthing and departure event algorithms, enabling real-time visibility across global supply chains.
Building predictive modeling frameworks for container-demand forecasting and capacity optimization.
Developing IoT analytics and event-generation algorithms to derive key supply-chain milestones from connected-device data streams.
Integrating machine learning, data engineering, and architecture design to build unified logistics- intelligence systems.
Tech Focus: AI & ML Systems · Data Architecture · IoT Analytics · Predictive Modeling · Spark · Python

AI & ML SystemsData ArchitectureIoT AnalyticsPredictive ModelingSparkPython+2

Blume global

2 roles

Principal Engineer

Promoted

May 2023 – Apr 2024 · 11 mos

Architected a large-scale Ocean Tracking System to process and transform AIS vessel data using Kafka, Spark, MongoDB, and Hive.
Built enterprise vessel-tracking and visualization platform for real-time monitoring of container and cargo movements.
Designed algorithms for Vessel Berthing and Departure event detection using marine terminal geofences foundational to Blume’s visibility ecosystem.
Developed geofencing frameworks for IoT-based Gate-In/Gate-Out event detection on trucks and drays.
Led the Data Science stream to deliver:
1. Port Congestion Analytics using turnaround and wait-time models.
2. Dynamic ETA Prediction frameworks blending rule-based logic with machine learning for accurate vessel arrival forecasts.
3. Built data dashboards for model performance monitoring and vendor analytics.
Tech Focus: PySpark · Kafka · Hive · MongoDB · Python · Power BI · Geospatial Data Engineering · Machine Learning