Jul 2024 – Dec 2024 · 5 mos · Tempe, Arizona, United States · On-site

Mar 2023 – May 2024 · 1 yr 2 mos · Tempe, Arizona, United States · Hybrid

• Engaged in developing machine learning models to forecast fluctuations in commodity prices based on trade features. Additionally, focused on enhancing model performance through the implementation of EDCR technique, a neuro-symbolic approach.
• Conducted research work on identification of spoofed AIS data in shipping vessels using attention based deep learning models built using PyTorch.
• Managed and enhanced 10TBs of AIS data (production grade) utilizing Hadoop, Spark, and SLURM for efficient processing and analysis.

Jul 2021 – Jul 2022 · 1 yr · Gurugram, Haryana, India

• Payments: Developed and maintained Java Springboot microservices for Expedia's payment workflow driving $270M per day in revenue.
• Fine Grained Authorization: Implemented fine-grained authorization using Google's Zanzibar on a gRPC microservice, resulting in a reduction in unauthorized access to user data.
• Dashboards: Led the effort to set up monitoring dashboards and alerts for our team's microservices using Datadog and Splunk, which reduced the time to detect and resolve incidents by 60%.
• Real‐time Notifications: Optimized real-time notifications system powering promotional and booking communications by leveraging Apache Kafka, Apache Storm, and Redis cache, resulting in increased user engagement and customer satisfaction.
• Batch processing: Rebuilt batch jobs consuming terabytes of data in Apache Spark to drastically reduce execution time by six-folds and decrease execution cost by 50%.
• ETL Jobs: Leveraged technologies such as AWS Elastic MapReduce, AWS Datapipeline, Qubole, AWS Kinesis to run ETL processes that drove business analytics tool.

May 2020 – Jul 2020 · 2 mos · Gurugram, Haryana, India · Remote

• Virtual Agent: Delivered an end-to-end virtual agent system using Python, FastAPI, and NLP techniques, which achieved a 95% accuracy rate in recognizing customer queries.
• FastAPI: Used FastAPI's asynchronous architecture to create scalable backend services for the virtual agent.
• Natural language processing: Experimented with SVM, Naive Bayes, and Logistic Regression for text classification and achieved a 90% accuracy rate with SVM.

May 2019 – Present · 7 yrs 1 mo · New Delhi · Remote

• Conceptualized, developed, and launched an Android app replicating notification LED functionality, amassing over 5 million downloads and user base of 200K+ weekly users. Recognized by XDA and Android Authority for innovation and impact.
• Led the full software development life-cycle, managing design, UI/UX and testing. Implemented Bitrise for CI/CD, ensuring seamless updates and quality assurance.