Siddharth KumarSingapore Permanent Resident (SPR), 6 years + YOE in AI/ML
Executive Summary

Senior AI/​ML Engineer with 6+ years architecting enterprise-scale AI solutions across manufacturing and finance. Led deployments processing 3B+ parts annually with 40% efficiency improvements. Patent holder with expertise in MLOps, computer vision, and LLMs.

Work History

Panasonic

09/2023 – present | Singapore (Hybrid)

Senior AI Engineer 2

  • •Provided strategic direction and technical leadership for AI/​ML initiatives targeting large-scale electronics and automotive manufacturing operations, directly aligning solutions with core business objectives and technology platforms.
  • •Architected and oversaw the implementation of end-to-end AI platforms and services, focusing on scalability, high availability, and seamless system integration within complex manufacturing ecosystems.
  • •Designed, developed, and deployed scalable AI applications, including real-time scheduling optimizers (heuristics + RL) enhancing logistics and operational efficiency; improved line balancing by 40% and throughput by 15% for operations handling 3B+ parts/year.
  • •Executed hands-on POCs for new technology feasibility, including spearheading Generative AI/LLM applications for industrial settings; filed 2 patents (semantic feedback routing, adaptive continual clustering) and authored research on large-scale causal graphing.
  • •Engineered and deployed a predictive maintenance platform (Prophet, ARIMA) integrated with factory systems, improving OEE by 0.5% and significantly reducing costly unplanned downtime.
  • •Built effective relationships with stakeholders (Factory GMs, Japan HQ), managed AI project portfolios, contributed to roadmap development, and ensured successful integration and adoption of AI solutions.
  • •Stack & Tools: Python, PyTorch, TensorFlow, C++, SQL, Spark, FastAPI, Prophet, Docker, Kubernetes, AWS SageMaker, MLflow, Git, CI/​CD, MLOps, Solution Architecture.
    • 09/2020 – 09/2021 | Singapore (Remote)

    Machine Learning Engineer

  • •Developed and deployed highly scalable AI applications, including an automated KYC/verification system (OCR/YOLOv5) processing 100k+ customers/month with 97.3% accuracy, integrated into core business systems.
  • •Engineered robust, high-availability (99.9%+) microservices (FastAPI, Flask) for model serving via REST APIs, achieving <100ms inference latency.
  • •Applied advanced NLP techniques (Watson NLP, custom models) to analyze 100k+ call center logs, identifying key patterns to enhance operational processes.
  • •Implemented full CI/​CD pipelines and containerized (Docker) ML deployments on internal cloud infrastructure, managing the process using MLOps principles and tools (Git, JIRA, Postman, Swagger).
  • •Stack & Tools: Python, FastAPI, Flask, Tesseract, YOLOv5, IBM Watson, OpenCV, Docker, Git, CI/CD, JIRA, REST APIs, MLOps, System Integration.
    • 08/2022 – 09/2023 | Singapore

    Senior ML Engineer (Research)

  • •Led the design, architecture, and deployment of multimodal ML systems (Computer Vision, HSI, Time Series) for AI-driven operational efficiency improvements in recycling facilities, demonstrating expertise in system integration.
  • •Delivered ML solutions with significant business impact, including a real-time plastic classifier (97% accuracy, <40ms latency) and predictive maintenance models (ARIMA, Prophet) that reduced downtime by 35%.
  • •Managed the lifecycle of AI solutions from concept to deployment across 3 pilot facilities, collaborating with A*STAR and Sembcorp stakeholders.
  • •Implemented MLOps best practices for model deployment and monitoring on edge GPUs, ensuring robust performance and scalability.
  • •Innovated with Generative AI, creating synthetic data pipelines (CycleGAN) and integrating LLM-enhanced models (GroundDINO) for complex identification tasks.
  • •Stack & Tools: Python, PyTorch, Detectron2, YOLOv5, OpenCV, ARIMA, Prophet, Docker, Git, Weights & Biases, MLOps, System Integration, Generative AI.
    • 11/2018 – 08/2020 | Singapore

    AI Researcher

  • •Architected and developed novel AI systems combining computer vision and time-series forecasting (ARIMA/​Prophet) for specialized detection tasks.
  • •Achieved high-accuracy predictions (<5% error) and optimized models for real-time edge deployment (TensorFlow Lite), resulting in 4x speedup.
    • 06/2017 – 05/2018 | Boston

    AI Engineering Intern

  • •Co-developed advanced deep generative models (CNNs) integrated with system constraints, significantly improving process efficiency (12x scan time reduction) in bioimaging.
  • •Built and piloted mobile AI solutions incorporating automated image analysis, demonstrating feasibility for deployment in varied operational environments.
    • Education

    Masters of Engineering, Department of Computer Science⁠

    Singapore University of Technology and Design
    2020 – 2022 | Singapore

    Machine Learning, Data Science, Information Systems and Programming, Innovation by Design

    Full Tuition Scholarship

    BITS Pilani

    First Class Honours + Scholarship, 1.47% Acceptance Rate

    SKILLS & CERTIFICATIONS
  • •AI/ML Expertise: AI Architecture Design, Machine Learning Operations (MLOps), Model Deployment & System Integration, Generative AI/LLMs, Deep Learning (CNNs, Transformers), Regression, Decision Trees, NLP (NER, Classification), Computer Vision (Detection, Segmentation), Time Series Forecasting (ARIMA, Prophet), Reinforcement Learning (Basic), Optimization (LP, MIP, Heuristics).
  • •Programming & Databases: Python (Advanced), SQL (Advanced), C++, NoSQL Databases, Schema Architecture.
  • •Frameworks & Platforms: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, OpenAI/GPT-based Systems, FastAPI, Flask, Spark, OpenCV.
  • •Cloud & DevOps/MLOps: Azure AI, GCP AI, AWS SageMaker, Docker, Kubernetes, MLflow, Kubeflow, Airflow, Git, CI/CD, Terraform (Basic), Service-Oriented Architectures (REST, SOAP).
  • •Leadership & Collaboration: Technical Leadership, Strategic Direction, Stakeholder Management, Project Portfolio Management, Vendor Management, Agile Methodologies, Cross-functional Collaboration.
  • •Certifications: Deep Learning Specialization (Coursera), Neural Networks & Optimization (Coursera), Google Project Management (Coursera), Professional Certification in Agile
    • Awards and Media Features

    BITSAA Global 30 Under 30 | Hyperloop India - Finalist, SpaceX Hyperloop Pod Competition

    Granted ~30000 SGD for the design of Advanced Disaster Mitigation Module(ADMM) | Lockheed Martin, USA