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Hi, I'm Vansh Vig, a passionate Software Engineer with over 5 years of experience specializing in backend development, machine learning, and cloud deployments. I love building scalable RESTful APIs and fine-tuning machine learning models to solve real-world problems. Throughout my career, I've worked extensively with Python, Django, Flask, and AWS services to deploy end-to-end ML solutions. I enjoy collaborating with teams to improve application performance and automate workflows using Agile methodologies, Docker, and Kubernetes. Whether it's creating diagnostic tools in healthcare or recommender systems in marketing, I thrive on delivering impactful technology solutions that drive business success.…Hi, I'm Vansh Vig, a passionate Software Engineer with over 5 years of experience specializing in backend development, machine learning, and cloud deployments. I love building scalable RESTful APIs and fine-tuning machine learning models to solve real-world problems. Throughout my career, I've worked extensively with Python, Django, Flask, and AWS services to deploy end-to-end ML solutions. I enjoy collaborating with teams to improve application performance and automate workflows using Agile methodologies, Docker, and Kubernetes. Whether it's creating diagnostic tools in healthcare or recommender systems in marketing, I thrive on delivering impactful technology solutions that drive business success.

Vansh Vig

Developer, Full Stack Developer, Cloud Developer, +4

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Hi, I'm Vansh Vig, a passionate Software Engineer with over 5 years of experience specializing in backend development, machine learning, and cloud deployments. I love building scalable RESTful APIs and fine-tuning machine learning models to solve real-world problems. Throughout my career, I've worked extensively with Python, Django, Flask, and AWS services to deploy end-to-end ML solutions. I enjoy collaborating with teams to improve application performance and automate workflows using Agile methodologies, Docker, and Kubernetes. Whether it's creating diagnostic tools in healthcare or recommender systems in marketing, I thrive on delivering impactful technology solutions that drive business success.…Hi, I'm Vansh Vig, a passionate Software Engineer with over 5 years of experience specializing in backend development, machine learning, and cloud deployments. I love building scalable RESTful APIs and fine-tuning machine learning models to solve real-world problems. Throughout my career, I've worked extensively with Python, Django, Flask, and AWS services to deploy end-to-end ML solutions. I enjoy collaborating with teams to improve application performance and automate workflows using Agile methodologies, Docker, and Kubernetes. Whether it's creating diagnostic tools in healthcare or recommender systems in marketing, I thrive on delivering impactful technology solutions that drive business success.

Available to hire

Hi, I’m Vansh Vig, a passionate Software Engineer with over 5 years of experience specializing in backend development, machine learning, and cloud deployments. I love building scalable RESTful APIs and fine-tuning machine learning models to solve real-world problems. Throughout my career, I’ve worked extensively with Python, Django, Flask, and AWS services to deploy end-to-end ML solutions.

I enjoy collaborating with teams to improve application performance and automate workflows using Agile methodologies, Docker, and Kubernetes. Whether it’s creating diagnostic tools in healthcare or recommender systems in marketing, I thrive on delivering impactful technology solutions that drive business success.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Javanese

Advanced

Work Experience

Software Engineer Intern at Dell Technologies

February 1, 2025 - Present

Actively collaborated with cross-functional Agile teams to develop and enhance high-performance software solutions, working closely with senior engineers, product managers, and QA teams to deliver features aligned with user and business requirements. Contributed to writing, testing, and maintaining over 1,500 lines of clean, efficient, and well-documented code using Java, Python, and RESTful APIs, improving system response time and maintainability. Participated in the design and implementation of scalable microservices, integrating three new services to increase modularity and reduce dependencies. Automated development and deployment processes using Jenkins and GitLab CI/CD pipelines, reducing deployment times and improving reliability. Wrote and executed more than 25 detailed unit and integration tests using JUnit and Selenium, maintaining over 95% code coverage. Engaged in weekly sprint planning, code reviews, and retrospectives, gaining experience with collaborative workflows and co

Software Engineer at Epsilon

May 31, 2023 - July 10, 2025

Built and maintained scalable web applications using Java, Spring Boot, and Angular, improving performance and user experience. Collaborated with product managers, QA, and developers to deliver over 10 key features per release, improving client satisfaction. Wrote approximately 2,000 lines of clean, reusable code monthly, reducing bugs and easing future updates. Developed and integrated REST APIs with third-party services, increasing system flexibility and speeding it up by around 30%. Participated in 3 to 5 code reviews weekly to ensure code quality, cutting down on post-deployment issues. Created automated test cases with JUnit and Selenium, increasing test coverage by 40% and reducing manual testing time.

Software Engineer Intern at Dell Technologies, USA

April 30, 2025 - July 17, 2025

Worked on fine-tuning Large Language Models (LLMs) using Hugging Face Transformers and PyTorch to improve accuracy of text summarization and classification systems. Designed and built backend APIs using Python and Django enabling real-time interaction with ML models across applications. Developed data preprocessing pipelines including tokenization and dataset curation to support scalable model training. Participated in integration of ML pipelines into production environments ensuring seamless deployment, version control, and model monitoring. Conducted model evaluation using F1-score, accuracy, and precision-recall metrics. Documented workflows, APIs, and model architecture for knowledge sharing and handoff.

Software Engineer at Epsilon, India

May 31, 2023 - July 17, 2025

Designed and developed scalable APIs using Python and Flask for marketing data platforms reducing processing time by 30%. Worked on customer segmentation models using clustering and classification techniques improving targeting accuracy by over 25%. Built and maintained data pipelines using SQL and Apache Airflow automating data processing saving 8–10 hours per week. Created interactive dashboards in Tableau and Power BI supporting business teams to monitor metrics and make fast decisions. Collaborated with data science team to build a recommender system increasing user engagement by 15%. Participated in A/B testing and model validation improving marketing outcomes by 10%. Improved development workflow with unit tests, code reviews, and CI/CD using Jenkins and GitHub Actions.