Sep 2025 – Nov 2025 · 2 mos

• Engineering a distributed risk compute platform powering FICC Portfolio Analytics

Jun 2024 – Aug 2025 · 1 yr 2 mos · Stony Brook, New York, United States

Jan 2024 – May 2025 · 1 yr 4 mos

• Investigated the potential of large language models like ChatGPT to infer missing data from imperfect datasets using informative prompts and addressed the challenges of inconsistent, noisy, and missing data in data science by leveraging advanced AI techniques.
• Developed a hybrid imputation engine combining LLM-based initial estimates with traditional imputation techniques like MICE, achieving an improvement in imputation accuracy by 25%

Jan 2024 – May 2024 · 4 mos

• Assisted Prof. Abid Malik in teaching CSE 337 - Scripting Languages by facilitating student learning through office hours and one-on-one tutoring.
• Graded assignments, provided feedback to students, and collaborated with the teaching team to enhance the course curriculum and address student needs.

Aug 2021 – Aug 2023 · 2 yrs · India

• Led the seamless migration of 15 critical on-premise business applications to Azure achieving 40% reduction in infrastructure costs.
• Spearheaded the modernization of legacy applications, integrating cutting-edge technology to enhance code maintainability, user experience and deliver a 25% improvement in application response times.
• Streamlined software release processes by orchestrating the adoption of Kubernetes-focused CI/CD pipeline using Helm, integrating with Azure DevOps and Jenkins, resulting in a 30% reduction in deployment time.
• Developed a Python-based tool to identify unsupported software on servers and automatically notify Service Level Owners of applications, providing detailed remediation plans.

Aug 2020 – Aug 2021 · 1 yr · India

• Contributed to the enhancement of Human Capital Management (HCM) platform by creating 20+ RESTful microservices with Spring Boot and implementing MySQL database optimizations for enhanced query efficiency.
• Demonstrated a key role in crafting diverse features for the Payroll application using React enhancing user interface and collaborated effectively with cross-functional teams to integrate robust security features.
• Orchestrated the design of an end-to-end donation application, leveraging the capabilities of a low-code platform, resulting in a 50% reduction in development and maintenance costs.

Nov 2019 – Jan 2020 · 2 mos · Chennai, Tamil Nadu, India

• Led the creation of a Facial Emotion Recognition system utilizing Convolutional Neural Networks (CNN), delivering a remarkable 96% accuracy rate for emotion classification in real-time.
• Collaborated cross-functionally to enhance user interface and streamline processing, resulting in a 25% reduction in response time, enhancing the system’s efficiency and user satisfaction.