Sumit singh
Software Engineer | Full Stack Developer
Biography
I am a Software Engineer at MinMax Technologies in Dallas, TX, with over 5 years of IT experience. My skills include software and full-stack web development, data engineering, cloud computing, ETL processes, machine learning, and deep learning. I've worked in both large tech companies and startups, contributing to all project stages from ideation to delivery.
I excel in development, design, implementation, business analysis, troubleshooting, and customer support. I am dedicated to project success and passionate about using my IT skills to make a positive impact.
The following are areas in which I consider myself proficient:
Programming Languages: Java, Python, C#, JavaScript, TypeScript, SQL, HTML5/CSS3, GraphQL
Web Technologies: Django, React.JS, Node.js, Express.js, ASP.NET, Angular, Spring boot, Hibernate
Databases: Oracle PL/SQL, PostgreSQL, SQL Server, MongoDB, Redis caching, Graph database (Neo4J)
Cloud Services: Azure – VMs, VPN, Cosmos DB, Functions, SQL Database; AWS – EC2, S3, RDS, Lambda
Data Analysis: Machine Learning, Power BI, Pandas, Seaborn, NumPy, Matplotlib, Tableau
Version Control & Tools: Git/GitHub, Bitbucket, Docker, JIRA, Jenkins, Kubernetes, CI/CD pipelines
Software Development: Agile/Scrum Methodologies, SDLC, Debugging, Troubleshooting, UML, Testing, Flow-Charts, Requirements Gathering, Business Analysis, Technical Documentation, APIs
Professional Experience
December 2023 - Present | Full-Time
Software Engineer | MinMax Technologies, United States
Optimized eSmart's application architecture using C#, .NET, React, and JavaScript, resulting in a 20% increase in scalability for utility asset data maintenance, enabling efficient handling of a growing data volume of up to 1 million records.
Configured Azure and Kubernetes environments for continuous deployment (CI/CD), prioritizing cybersecurity and leveraging Azure DevOps to automate deployments by 75%, reducing manual effort and deployment time from 2 hours to 30 minutes.
Ensured optimal performance through continuous monitoring, creating views, stored procedures, refining caching strategies, and developing database queries, leading to a 25% reduction in query execution time.
Utilized Power BI for continuous reporting and dashboard development, enhancing data visualization and facilitating compliance reporting for standards such as FAC008.
February 2019 - February 2022 | Full-Time
Systems Developer | Tata Consultancy Services, India
Implemented risk analysis models and underwriting features in the insurance domain using Angular JS, J2EE, Spring Boot, and JSP, contributing to streamlined insurance processes and a 15% decrease in underwriting processing time.
Developed RESTful web services with Node JS, leveraging Docker containers, significantly improving performance for critical insurance processes. Reduced resource consumption by 40%, allowing for handling a 2x increase in concurrent requests.
Authored over 70 Oracle PL/SQL scripts, leading to a 30% enhancement in data insights and analytics within the insurance ecosystem. This resulted in improved decision-making and risk-management capabilities.
Led troubleshooting efforts and devised comprehensive tests using Selenium & agile methodologies to ensure robust and secure software solutions for insurance operations. • Worked as a full-stack developer across three insurance companies, including an international client, gaining expertise in database management, cloud practices, and cybersecurity measures.
Collaborated closely with cross-functional teams, and stakeholders, including testing teams, business analysts, claims, accounting, and others, as well as clients to ensure alignment of software solutions with business objectives.
April 2018 - January 2019 | Full-Time
Web Developer | Openweb Solutions, India
Developed full-stack web applications using React.js, AJAX, Django, Python, and PostgreSQL with integrated Redis caching for optimized data retrieval.
Led the digital transformation of record-keeping portals, achieving a 50% improvement in site speed through code optimizations and Redis caching. This resulted in a 20% increase in user engagement by improving responsiveness.
Enforced role-based access control for enhanced security measures in web applications, complemented by efficient MongoDB and Redis caching strategies for improved performance.
Collaborated with cross-functional teams to implement and optimize Git workflows, ensuring version control best practices and facilitating a seamless and efficient development lifecycle.
May 2023 - August 2023 | Full-Time
Data Engineer, Intern | MinMax Technologies, United States
Developed and maintained full-stack web applications using Angular, JavaScript, C#, and .NET, ensuring high-performance and user-friendly interfaces.
Designed and implemented Restful APIs using ASP.NET Web API, integrating various services and systems for seamless data exchange.
Utilized MS SQL Server to design efficient database schemas, resulting in a 30% improvement in query performance and ensuring data integrity for 100K+ records.
Deployed and managed applications on Azure, utilizing its cloud services for scalability, reliability, and performance optimization.
Collaborated with cross-functional teams to gather requirements, propose technical solutions, and deliver high-quality software products within deadlines.
Technical Skills
Internship & Fellowship
August 2022 - December 2023 | Part-Time
Graduate Assistant | Indiana State University, United States
Built and developed user-friendly websites across WordPress, SharePoint, Drupal & other CMS platforms, prioritizing optimal performance & adherence to web standards.
Designed and implemented Power Automate workflows for email management, saving valuable time and streamlining communication processes within the organization.
Leveraged Power BI and Python to transform massive datasets into actionable insights, crafting compelling financial reports that guided crucial decisions by senior management.
Proficient in managing student records in Banner, resolving Team dynamic tickets, generating reports in Argo, and maintaining confidentiality in compliance with FERPA.
March 2022 - August 2022 | Part-TIme
Research Assistant | Indiana State University, United States
Co-authored research on contrast pavement markings, published by the Illinois Center for Transportation, leading to significant crash reduction on high-speed roads.
Leveraged R and advanced Excel (DAX) to build a benefit-cost analysis tool for contrast pavement markings, guiding informed decision-making for implementing cost-effective safety measures.
Employed comprehensive data analysis and statistical modeling techniques to quantify the impact of safety interventions, ensuring data-driven solutions.
Fostered successful collaboration within a research team, resulting in a high-quality research paper, and effectively communicated complex technical information to diverse audiences.
Projects
Python, Machine Learning, Data Analytics, Regression
Designed a solution to find missing pets and deployed using Streamlit.
Processed data, carried out exploratory data analysis, engineered features for model training, and used algorithms like Linear regression, Random Forest, and SVM.
React, MongoDB, Node.js, Express.js
Developed a MERN stack application inspired by Airbnb, focusing on core features and functionality.
Implemented user authentication, property listing, and booking system for a foundational Airbnb clone.
Utilized React, Node.js, MongoDB, and Express to build the application's front-end and back-end.
React, HTML, CSS, APIs, React Hooks, NoSQL
Build a dashboard for tracking crypto-currency.
Used external API to display and develop searchable functionality.
Designed and Populated Data and made user interactive dashboard.
Django, PostgreSQL, Bootstrap, HTML
Developed a social media web application using Django, PostgreSQL, and Bootstrap & deployed a website via Git & Heroku.
Users can log in, reset passwords, create, update and deleted posts, change profile pictures, etc.
Python, PyTorch, Text Analysis, Deep Learning
Utilized Python and PyTorch to create models that unlocked hidden patterns, bolstering data mining efficiency and facilitating informed decision-making across 10 distinct topics.
Achieved exceptional document relationship identification and classification accuracy, contributing to actionable insights extraction from complex datasets.
