Anand Manohar Agnihotram

Full-Stack Software Developer | Code Enthusiast | AI Explorer

Next.jsReactTypeScriptAWSAI/MLSoftware EngineeringProblem SolvingOptimizationWeb DevelopmentSoftware DesignData StructuresPEGAAgile Methodologies

Who Am I ?

WORK EXPERIENCE

Verizon

Software Development Engineer II

August 2021 – July 2023

Accomplished a 99% reduction in API troubleshooting time, as measured by developer efficiency, by creating a web-based debugging tool using Java, HTML, CSS, and JavaScript.
Improved system performance by 30%, as measured by query execution time, by optimizing SQL queries.
Developed and maintained scalable RESTful APIs, facilitating seamless data exchange between the Offer Management Platform and Oracle Databases, managing over 10,000 daily transactions.
Automated daily deployments, improving system reliability and data accuracy with Pega deployment pipelines.
Boosted customer satisfaction by 15% through workflow automation and process optimization using Pega 8.6.
Increased team productivity by leading technical training on API development, debugging, and database optimization.

Pegasystems

Data Science Intern

June 2021 - August 2021

Contributed to the Pega platform by enhancing deployment processes and improving system performance.
Enhanced deployment processes, reducing deployment time by 15% through internal Java code optimization.
Developed user-centric tools improving overall deployment experience by 10%.
Assisted in identifying and resolving critical production issues, contributing to an increase in deployment reliability and reducing error rates by 12%.
Collaborated effectively with senior developers to enhance the Pega platform's overall performance and usability.

TCS

Data Science Intern

July 2020 - September 2020

Supported development, QA and user experience staff to develop new products.
Learned software engineering process improvements and best practices.
Collaborated effectively with members of software development team and personnel in other departments.
Developed the project using JavaScript programming language.

EDUCATION

University of Texas at Arlington

Master of Science in Computer Science

Aug 2023 – May 2025

Coursework:

Machine Learning
Artifical Intelligence
Software Engineering
Advanced Software Engineering
Data Mining
Distributed Systems
Web Data Management
Data Structures and Algorithms
Data Analytics and Modelling
Numerical Methods

Jawaharlal Nehru Technological University

Bachelor of Technology in Computer Science

July 2017 – June 2021

Coursework:

Data Structures
Operating Systems
Database Systems
Networks
Object-Oriented Programming
Java Programming
Design Patterns
Web Technologies
Probability and Statistics

FEATURED PROJECTS

Here are some of my recent projects that showcase my skills and experience.

EDUVERSE – Academic Networking Web App

Developed a robust web platform facilitating seamless interactions between students and advisors for mentorship and academic networking. Integrated dynamic job listings, event management systems, and interactive forums, which improved user engagement by 30%. Implemented real-time collaboration using SocketIO and scalable data storage with MySQL, ensuring efficient and responsive interactions.

ReactJSNextJSMySQLSocketIOHTMLCSS

REVSCAN – Sentiment Analysis System

Engineered a sentiment analysis application using a hybrid CNN, RNN, and LSTM model, achieving a remarkable 94% accuracy. Generated actionable insights into customer preferences and sentiment, aiding in strategic product and marketing decisions. Streamlined data preprocessing and model training pipelines to significantly reduce computation time by 20%.

PythonTensorFlowKerasNLP

TRACK IT! HACK IT! – Personal Finance App

Created a comprehensive budgeting tool allowing users to track expenses, set financial goals, and visualize spending patterns through interactive graphs and charts. Achieved efficient real-time data updates and analytics through seamless MySQL integration. Improved user financial management efficiency, reducing the manual budgeting effort by 40%.

ReactJSNode.jsExpress.jsMySQL

Resume Builder Web App

Built an intuitive web application enabling users to create, customize, and download professional-quality resumes with ease. Implemented dynamic form handling and responsive design, significantly improving user accessibility and interaction speed by 25%. Integrated features allowing secure data management and real-time preview updates, enhancing overall user satisfaction.

ReactJSHTMLCSSJavaScript