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Abhishek Kumar

Software Development Engineer with expertise in workforce optimization applications and transitioning technologies from legacy systems to modern Python-based stacks. Adept at leading feature development, implementing testing and deployment strategies, and working with diverse teams to meet project goals.
  • Role

    ML Ops Engineer

  • Years of Experience

    10.3 years

Skillsets

  • Restful APIs - 05 Years
  • Machine Learning - 3.0 Years
  • Backend Development - 5.0 Years
  • CI/CD - 4.0 Years
  • MLOps - 2.0 Years
  • RESTful API - 5.0 Years
  • ETL - 2 Years
  • Ci/Cd Pipelines - 4 Years
  • Postgre SQL - 3 Years
  • Kubernetes - 4.0 Years
  • Jenkins
  • Git
  • Git
  • Amazon Web Services
  • Fast API - 5.0 Years
  • JavaScript - 1 Years
  • pandas
  • FastAPI
  • NumPy
  • Docker - 5.0 Years
  • Django
  • Kubernetes - 02 Years
  • Git - 5 Years
  • Elasticsearch
  • Jenkins
  • nginx
  • Shell Scripting
  • SQL - 4 Years
  • Python - 5.8 Years
  • AWS - 5.0 Years

Professional Summary

10.3Years
  • Jun, 2025 - Present1 yr

    ML Ops engineer

    NeST Digital
  • Jun, 2024 - Apr, 2025 10 months

    ML Operation Engineer

    BrightSide Technologies

  • Software Development Engineer 2

    AVR Edge Networks Pvt. Ltd.
  • Sep, 2020 - Sep, 20211 yr

    Web Application Developer

    Tidyquant
  • Sep, 2021 - Aug, 2022 11 months

    SDE

    EDGE
  • Aug, 2022 - Jun, 20241 yr 10 months

    SDE II

    EDGE
  • May, 2019 - Sep, 20201 yr 4 months

    ICT Engineer

    Aura Emanating Teknology Pvt. Ltd.

Applications & Tools Known

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    Fast API

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    RMQ

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    Docker

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    Kubernetes

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    Nginx

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    Elasticsearch

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    Jenkins

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    Linux

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    Git

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    Terrafrom

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    AWS (Amazon Web Services)

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    Azure

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    Nginx

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    RabbitMQ

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    Redis

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    Kibana

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    AWS

Work History

10.3Years

ML Ops engineer

NeST Digital
Jun, 2025 - Present1 yr

ML Operation Engineer

BrightSide Technologies
Jun, 2024 - Apr, 2025 10 months
    Designed and deployed end-to-end MLOps pipelines, ensuring automation, scalability, and reproducibility. Developed and optimized Machine Learning models for tasks such as image embedding, layout detection, and enterprise search. Managed cloud infrastructure using Terraform and deployed models on platforms like Azure for scalable performance. Implemented CI/CD workflows (GitHub Actions) for automated model testing, validation, and deployment. Ensured secure deployments by integrating secret management tools like Azure Key Vault. Worked on enterprise AI solutions using Retrieval-Augmented Generation (RAG), OpenAI, and FastAPI to build intelligent search and retrieval systems, enhancing data accessibility and decision-making processes.

Software Development Engineer 2

AVR Edge Networks Pvt. Ltd.
    Deployed key reports (Accuracy Report, SkillTrend Report, Hype Chart) using Python, Pandas, and Elasticsearch, which enabled precise insights and improved decision-making processes. Led product feature development, ensuring quality standards, which resulted in enhanced product performance. Tested and deployed via Jenkins-managed Docker containers to Azure VMs. Built scalable microservices using Django and FastAPI, and processed third-party spending data with Python, leading to improved data handling efficiency. Automated ETL workflows and optimized SQL/NoSQL storage, developing a multi-threaded Python wrapper that increased data processing speed and reliability. Implemented data security protocols, monitoring, and logging to safeguard systems and detect anomalies, enhancing system security and reliability. Expanded CI/CD pipelines, automated deployments, and managed Terraform-based cloud infrastructure on Azure, enhancing deployment efficiency and reliability. Migrated IWO application from PHP to Python/FastAPI/RMQ, reducing ingestion errors to 0.01%, and transitioned multiple legacy apps to Python, improving stability and performance.

SDE II

EDGE
Aug, 2022 - Jun, 20241 yr 10 months

SDE

EDGE
Sep, 2021 - Aug, 2022 11 months

Web Application Developer

Tidyquant
Sep, 2020 - Sep, 20211 yr
    Collaborated closely with clients to create tailored solutions that effectively addressed their specific needs, resulting in improved client satisfaction and project outcomes. Designed and deployed web-based dashboards that seamlessly incorporated machine learning algorithms, leading to enhanced insights and decision-making capabilities. Led the development of comprehensive web applications using the Django framework, ensuring a seamless user experience and increased user engagement. Managed deployment on AWS and on-premise servers, and developed REST APIs for machine learning models and web applications using DRF, Flask, and Postgres, resulting in improved system reliability and performance. Spearheaded the integration of machine learning algorithms into web-based dashboards, enhancing data visualization and analysis capabilities, which led to more informed business decisions. Pioneered the use of Docker containers and CI/CD pipelines for efficient deployments, resulting in a reduction in deployment time and improved software delivery processes. Created REST APIs for ML models and web apps using DRF, Flask, and Postgres, improving data accessibility and integration with client applications.

ICT Engineer

Aura Emanating Teknology Pvt. Ltd.
May, 2019 - Sep, 20201 yr 4 months
    Collaborated with IIT Delhi to construct a High-Performance Computing (HPC) cluster, enhancing computational capabilities for research projects. Designed and developed Unix shell scripts for automation, streamlining repetitive tasks and improving efficiency in system operations. Developed Payroll management systems using Django, Python, SQL, Nginx, Docker, HTML, and CSS, resulting in improved accuracy and efficiency in payroll processing. Gained understanding of front-end technologies and UI development, applying skills in HTML and CSS to enhance user interface design.

Achievements

  • Partnered with Wipro to spearhead the implementation of the Internal Workforce Optimization Application
  • Orchestrated the deployment of crucial reports and charts providing insights for strategic decision-making
  • Achieved significant reduction in ingestion errors to 0.01% after migrating application from PHP to Python
  • Lead feature development ensuring adherence to project requirements and quality benchmarks
  • Implemented load balancer strategies to efficiently manage high traffic and reduce server load
  • Constructed High-Performance Computing (HPC) cluster utilized by IIT Delhi for advanced data analysis
  • Developed Payroll and CRM systems with Django Python

Major Projects

3Projects

Al-Driven Document Extraction Pipeline

BrightSide Technologies
Jun, 2024 - Mar, 2025 9 months

     Developed an AI-powered pipeline to extract data from structured and semi-structured documents (e.g., driving licenses, certificates)

    with high accuracy.

    Designed and implemented ML models for image embedding (CLIP) and layout detection (YOLO).

    Built a scalable MLOps pipeline, ensuring automation, reproducibility, and deployment efficiency.

    Deployed models on Azure Cloud using Terraform for infrastructure as code (IaC).

    Implemented CI/CD workflows using GitHub Actions for automated testing and deployment.

    Secured deployment by integrating Azure Key Vault for API keys, credentials, and secrets management.

Edge JScore

Avr Edge Network Pvt Ltd
Sep, 2021 - Jun, 20242 yr 9 months

     Developed an AI-driven workforce optimization tool to match employees with internal job openings based on skills and expertise,

    enhancing talent allocation and reducing costs.

    Integrated AI search capabilities to accelerate hiring and improve hire quality.

    Managed end-to-end internal mobility applications for Wipro & HCL, acting as the Single Point of Contact (SPOC) for clients.

    Handled Change Ticket Approval Requests (CTAR) via Jira, managing modifications, testing, and deployments across QA and

    production environments.


Swimmingstrong.co.uk

TidyQuant
Nov, 2020 - Sep, 2021 10 months

    Built a data-driven web application using ML models to analyze swimmers' performance gaps compared to top athletes.

    Developed forecasting models for performance prediction and report generation, enabling detailed tracking by coaches.

    Led end-to-end development, including project management and backend implementation in Python.

    Formulated action plans to address business problems and enhance system functionality.

Education

  • Bachelor of Science in Information Technology

    St. Xaviers College (2019)