August 2022 - Present
• Led the development of 10+ key features using Spring Boot, Java, Angular, MySQL, and AWS
services.
• Developed a FastAPI-based service for AI copilot workflows with GPT models, managing a
team of 6 developers.
• Converted database stored procedures to APIs, reducing technical debt by 100%.
• Implemented Redis caching with AWS ElastiCache, boosting data retrieval speed by 400%.
• Co-created an AI model with IBM, contributing to API/DB integration solutions.
• Provided production support, achieving a 100% end-user satisfaction rate.
July 2021 - August 2022
• Led the QA team in delivering high-quality software solutions.
• Developed comprehensive quality control test artifacts, reducing critical bugs
post-releases by 50%.
• Conducted extensive manual and automated testing across UI, API, DB, Integration, UAT, and
Regression domains.
September 2021 - May 2022
• Planned and organized engineering workshops and events that helped students develop their
careers in Software Engineering and Computer Science.
• Arranged guest speakers for these
workshops and responsible for overseeing the academic activities organized by the society.
Stack: PyTorch, Python, Scikit-learn
Developed a PyTorch-based CNN for facial emotion recognition, achieving 91% accuracy with a dataset of 2,200 images.
Stack: Apache Spark, ALS, Python, Big Data, SQL
Engineered a big data solution for game recommendations using Apache Spark and ALS, processing 2 million records.
Stack: Java, Spring Boot,React, AWS RDS
Developed an online electronics store with React and Java, incorporating JWT and role-based access control, backed by AWS RDS.
Stack: Spring Boot, Node.js
Built a scientific calculator web app with Spring Boot and Node.js, capable of complex equation parsing and maintaining a calculation history.