Jul 2024 – Jan 2025 · 6 mos · Gurugram, Haryana, India · Hybrid

May 2023 – Jul 2023 · 2 mos · Hyderabad, Telangana, India · On-site

• During my internship at Amazon, I had the privilege of being a part of the development team responsible for providing essential Driver Information to Customer Executives. Collaborating with cross-functional teams, I contributed to a project aimed at making Driver Information accessible in CSALT (Customer Service Associate Lead Team).
• As a key member of the team, my primary responsibility involved making critical decisions on schema changes for existing drivers and implementing field-level resolvers for stitched fields. Through this experience, I honed my skills in query writing, Spring Boot, GraphQL, and unit testing using Mokito and JUnit. Additionally, I gained practical knowledge of testing changes by deploying them to Alpha and Gamma environments

Jun 2022 – Jul 2022 · 1 mo

• As a participant in Amazon ML Summer School 2022, I had the privilege to engage with esteemed Amazon Scientists, gaining invaluable insights into the field of Machine Learning. Throughout the program, I delved into eight comprehensive modules covering a wide range of ML topics:
• Explored the foundations of Supervised Learning
• Dived deep into the intricacies of Deep Neural Networks
• Mastered Dimensionality Reduction techniques
• Uncovered the principles of Unsupervised Learning
• Explored Probabilistic Graphical Models
• Embraced the intricacies of Sequential Learning
• Investigated the realm of Causal Inference
• Learned the fundamentals of Reinforcement Learning
• This exceptional opportunity provided me with a solid foundation in various ML domains, empowering me to further excel in the field of Machine Learning.

May 2022 – Jun 2022 · 1 mo

• Participating in the Microsoft Cyber Security Engage Program was a transformative experience, enriching my cybersecurity knowledge across a wide spectrum of topics. The blend of theoretical insights and practical applications, led by industry experts, fostered a deep understanding of complex subjects like Cybersecurity Basics, Reverse Engineering, and the application of Machine Learning in security.
• The program's emphasis on hands-on assignments and the use of tools such as Wireshark and Metasploit, alongside discussions on frameworks like MITRE ATT&CK, prepared me for the dynamic cybersecurity landscape. Leader Talks and interactive sessions offered unique future insights and personalized guidance, culminating in a research project that solidified my learning and analytical skills.
• This journey has profoundly enhanced my expertise in cybersecurity, merging theoretical knowledge with practical skills and insights into future trends, marking an invaluable milestone in my professional development.

Dec 2021 – Jan 2022 · 1 mo · Remote