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Hemant MehtaHM

Hemant Mehta

Senior Backend Engineer (Java/Python), PhD, AI

€149/day
Indore, IN
15+ years

Average response time: 1 hour

About Hemant

I am a Computer Scientist (PhD) and Senior Software Engineer with over 22 years of experience in high-performance distributed computing (Cloud and edge computing), backend development, and applied AI, optimization. Specialized in scalable distributed infrastructure, cloud-edge computing, resource optimization, workload prediction, and ML-driven systems engineering. I prefer building long-term partnerships.

Hands-on experience designing and implementing distributed systems involving Apache Ozone, Docker, Kubernetes, cloud platforms, and backend technologies in Java and Python. Worked on applied machine learning techniques for workload forecasting, predictive resource allocation, power consumption modeling, latency optimization, and energy-aware infrastructure management.

Contributed to EU-funded research initiatives and IEEE Intercloud standardization efforts across Ireland, UK, France, Hong Kong, and India. Industry experience of customization of Gluu Server/Janssen for Open Banking (UK and Brazil) and FAPI certification.

Author of 20+ peer-reviewed publications and two technical books for Packt Publishing (Mastering Python Scientific Computing and Getting started with Oracle Public Cloud).


Core Competencies:

Advanced Backend Development: extensive experience building robust, scalable systems using Java (Spring Boot Ecosystem, Hibernate, JPA) and Python (Flask).

AI & Scientific Computing: implementing machine learning models and data processing pipelines using Scikit-learn, PyTorch, Pandas, and NumPy.

Cloud & Edge Optimization: designing energy-efficient and high-performance cloud architectures (AWS/Oracle Cloud).

Database Architecture: complex schema design and optimization for Oracle(SQL, PLSQL), PostgreSQL, and NoSQL (HBase/Mongo).

Technical Stack:

Languages: Java, Python, R, C++, Unix Shell Scripting (Bash, ksh) and Power Shell

Frameworks: Spring ecosystem, Flask, Hadoop, Spark

DevOps: Docker, Unix/Linux Administration, CI/CD pipelines
  • English

    Native or bilingual

  • Hindi

    Native or bilingual

Can work on-site
Indore (up to 50km)

Experience

  • Self-Employed
    Independent Researcher & Consultant
    DIGITAL AND IT
    May 2023 - Today (3 years and 2 months)
    Indore, Madhya Pradesh, India
    Engaged in short-term consulting and technical support projects for the software industry as a freelancer, while simultaneously pursuing independent research. Current initiatives include Project GREEN (on developing a generic power consumption model and exploring the energy complexity models for algorithms for sustainable computing), and Blockchain-Enabled Decentralized, Scalable, and Secure Edge Computing environment.
    Edge Computing Python Java
  • University College Cork, Ireland
    Research Support Officer (Senior Postdoctoral Researcher)
    RESEARCH
    November 2021 - April 2023 (1 year and 5 months)
    Ireland
    • • Designed and implemented CATER, a constraint-aware optimization framework for Apache Ozone distributed object storage.
    • • Developed optimization strategies for data placement under regulatory, privacy, and hardware constraints.
    • • Reduced infrastructure utilization by ~23% through intelligent datanode allocation techniques.
    • • Built deployment and evaluation environments using Docker and Kubernetes.
    • • Conducted large-scale simulation and live deployment experiments for distributed storage optimization.
    • • Optimized storage placement strategies for AI and edge computing workloads. Project
    Edge Computing Python Java Kubernetes Docker
  • University College Cork, Ireland
    Senior Postdoctoral Researcher
    RESEARCH
    September 2019 - April 2021 (1 year and 7 months)
    Ireland
    • • Developed ML-driven resource management algorithms for Multi-access Edge Computing (MEC) environments.
    • • Reduced VM and container startup latency using predictive resource preallocation techniques.
    • • Built workload forecasting and predictive scheduling mechanisms for latency-sensitive distributed applications.
    • • Conducted performance analysis and optimization for scalable edge infrastructure systems.
    Java Python Cloud computing Edge Computing Gurobi

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Education

  • PhD in Computer Science
    Devi Ahilya University
    2011
    My area of research is High Performance Distributed Computing (Grid and Cloud Computing)
  • Master of Computer Applications (MCA)
    Devi Ahilya University
    2001
    A three year computer science masters degree program.

Skill set

Categories