Abhishek Nikam

MIT ACADEMY OF ENGINEERING

BTech In Computer Science

Janurary 2021 - Present

Relevant Coursework

• Cloud Computing
• Database Management Systems

Maharashtra State Board

12th

March 2020

Relevant Coursework

• PCMB
• 84.7%

Maharashtra State Board

10th

June 2018

Relevant Coursework

• PCMB
• 91%

GalaxE.Solutions

Aug 2024 - Present

Associate Software Developer

• Developed and optimized dynamic web applications using Java, SQL, HTML, CSS, JavaScript, .NET Framework, ASP.NET, and MVC architecture, improving application performance and ensuring a responsive user interface.
• Integrated AWS services for scalable deployments and automated CI/CD pipelines with Jenkins and Docker, enhancing efficiency and accelerating deployment workflows.
• Reduced deployment errors by 20% through the implementation of Jenkins and Docker, based on a comparison of error rates pre- and post-automation.

GalaxE.Solutions

Feb 2024 - July 2024

Software Developer Intern

• Developed and optimized responsive web applications using HTML, CSS, JavaScript, and React, resulting in improved load times and enhanced user satisfaction.
• Contributed to full-stack development by participating in front-end and back-end development, ensuring code quality through the implementation of industry best practices.
• Utilized AWS services to support cloud deployment and improve operational efficiency, contributing to scalable and reliable web applications.

Celebal Technologies

May 2023 - July 2023

Cloud and Infra Intern

• Applied DevOps practices to enhance software delivery efficiency and project success.
• Optimized CI/CD pipelines, boosting deployment frequency and reducing lead times.

Worqhat

Worqhat

Cloud Computing Intern

• Create a high-level design and architecture for the chatbot solution. Determine the chatbot's conversational flow, integration points, and data sources. Consider using Azure services like Azure Bot Service, Language Understanding (LUIS), and Azure Cognitive Services for natural language processing and understanding.
• Utilize Azure Language Understanding (LUIS) to train chatbot in understanding user intents and entities. Define and train the LUIS model with sample utterances, intents, and entities relevant to chatbot's use cases.
• Continuously improve the model by adding more data and refining it based on user interactions and feedback.

VIEH GROUP

Feb 2022 - April 2022

Machine Learning Intern

• Used techniques like correlation analysis, information gain, or recursive feature elimination to identify the most informative features for breast cancer prediction.
• Deployed the project on Heroku.

Microsoft Future Ready Talent

July 2020 - Sept 2020

Cloud Computing Intern

• Worked on Azure Services to develop a real-time project.
• Worked on the Covid-19 Chatbot project.

Languages and Databases

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