# Software Engineer

Location[United States](https://jobicy.com/resume-region/united-states.md)Rate, USD Not specifiedWork schedule Full Time, Links  Language skills EnglishAvailable for Hire Yes [Hire me](#resume-dialog)

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## About me

I am Swapnil Khare, a passionate software engineer with a strong foundation in computer science and engineering. Currently, I am pursuing my M.S. in Computer Science and Engineering at the University at Buffalo, The State University of New York, which I expect to complete by December 2024. Prior to this, I earned my Bachelor’s Degree in Computer Engineering from the Institute of Technology, Nirma University in India.

My professional experience includes working as a Software Engineer at Tata Consultancy Services, where I specialized in backend services optimization, API development, and workflow automation. I successfully enhanced enterprise-level applications using RESTful APIs, PowerApps, and Power Automate, which improved system efficiency and reduced manual effort significantly. I also contributed to scalable backend architecture design and improved system reliability by managing access controls and resolving backend issues.

During my internship at Innovatics, I worked on integrating advanced emotion detection models into chatbot platforms using state-of-the-art NLP techniques such as BERT, GPT-3, and T5. I also developed AI models that improved prediction accuracy by optimizing data preprocessing and semantic lemmatization.

I have developed several projects including an intelligent Wikipedia chatbot hosted on Google Cloud Platform, a deep learning-based helmet detection system with high accuracy, and clickstream data analysis for website user behavior using Google Analytics and Power BI. Additionally, I implemented reinforcement learning techniques to enhance agent exploration in gaming environments.

My technical skills span multiple programming languages including Python, Java, SQL, and DotNet, and I am proficient in backend development frameworks like Flask and FastAPI. I have hands-on experience with cloud platforms such as AWS and GCP, microservices architecture, real-time data processing, and machine learning frameworks including PyTorch, TensorFlow, and Keras. I am also skilled in data wrangling, ETL pipelines, scalable system design, and database management with PostgreSQL and MongoDB.

I am eager to leverage my technical expertise and problem-solving skills to contribute to innovative projects and drive impactful solutions in software engineering roles. I thrive in agile development environments and am committed to continuous learning and professional growth.

## Professional area

### [Developer & Engineer](https://jobicy.com/resume-category/dev.md)

## Skills

### [Automation](https://jobicy.com/resume-skill/automation.md)[AWS](https://jobicy.com/resume-skill/aws.md)[Database Management](https://jobicy.com/resume-skill/database-management.md)[Flask](https://jobicy.com/resume-skill/flask.md)[GCP](https://jobicy.com/resume-skill/gcp.md)[Google Analytics](https://jobicy.com/resume-skill/google-analytics.md)[Java](https://jobicy.com/resume-skill/java.md)[Machine Learning](https://jobicy.com/resume-skill/machine-learning.md)[MongoDB](https://jobicy.com/resume-skill/mongodb.md)[PostgreSQL](https://jobicy.com/resume-skill/postgresql.md)[Python](https://jobicy.com/resume-skill/python.md)[SQL](https://jobicy.com/resume-skill/sql.md)[TensorFlow](https://jobicy.com/resume-skill/tensorflow.md)

## Education

Aug 2023 – Dec 2024  Master of Science in Computer Science and Engineering  @  University at Buffalo, The State University of New York  Aug 2017 – Aug 2021  Bachelor of Engineering in Computer Engineering  @  Institute of Technology, Nirma University

## Experience

Jul 2021 - Aug 2023  Software Engineer  @  Tata Consultancy Services

Streamlined backend workflows by enhancing enterprise-level applications using RESTful APIs, PowerApps, and Power Automate, increasing system efficiency and automating processes to reduce manual effort by 30%. Led the development and automation of email systems using SharePoint Lists and GraphQL APIs, optimizing approval workflows and reducing processing time by 20%, significantly improving project delivery timelines. Improved system reliability by proactively resolving backend issues, managing access controls, and handling escalations, resulting in a 30% reduction in incident resolution time and enhancing overall system stability. Contributed to designing scalable backend architectures focused on load balancing, database optimization (MongoDB), and secure API design, ensuring system efficiency and security under high-traffic conditions.

Jan 2021 - Apr 2021  ML Intern  @  Innovatics

Integrated advanced emotion detection models into a chatbot platform by leveraging cutting-edge NLP research, including BERT, GPT-3, and T5, significantly enhancing user engagement and interaction quality. Enhanced prediction accuracy by 5% through deploying ML models with Python, TensorFlow, and Keras, and optimizing data preprocessing and semantic lemmatization.

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