Abhishek Tiwari Email & Phone Number | I am a dedicated and innovative Software Engineer with a proven track record in designing and implementing robust distributed systems and AWS solutions. With a Master’s degree in Computer Science from Boston University and a Bachelor’s in Data Science from SP Jain School of Global Management, I combine academic excellence with hands-on experience in the tech industry. At Adaptive Investment Solutions, I have: - Developed a distributed system using AWS ECS, Ray, and Docker, reducing option chain data retrieval time by 95%. - Engineered the Market Shield feature for real-time portfolio tracking and automated index put procurement. - Enhanced service endpoints with autoscaling and load balancing, increasing capacity by 200% and reducing costs by 30%. My technical expertise includes Python, Java, Go, C++, JavaScript, and Swift, along with extensive experience in tools like Docker, Kubernetes, AWS, and Ray. I have a strong background in DevOps, machine learning, and agile methodologies, which enables me to deliver high-quality solutions efficiently. In addition to my professional experience, I have contributed to various projects such as: - Developing a decentralized cluster management protocol in Go, improving failover response time by 60%. - Implementing the Raft consensus algorithm for distributed state management, enhancing system reliability. - Creating a distributed query execution platform using Ray, supporting flexible query operations. During my time as a Research Assistant at Boston University, I: - Designed multi-cloud deployment strategies, orchestrating the parallel deployment of servers for efficient processing of petabyte-scale Landsat data. - Developed algorithms to optimize memory usage for large-scale data analysis, enabling efficient time series construction from large TIFF files. - Implemented a parameter server to support distributed machine learning models on time-series data, enhancing large-scale data analysis effectiveness. I am passionate about solving complex problems and continuously learning and adapting to new technologies. My goal is to leverage my skills and experience to drive technological innovation and deliver impactful solutions.

Abhishek Tiwari

I am a dedicated and innovative Software Engineer with a proven track record in designing and implem...
Boston, Massachusetts, United States

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Abhishek Tiwari’s Email atiwari@adaptiveinvestments.com

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Abhishek Tiwari’s Location Boston, Massachusetts, United States

Abhishek Tiwari’s Current Industry Adaptive Investment Solutions

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Work Experience

Adaptive Investment Solutions

Software Engineer

2024-01-01 00:00:00 - Present

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Abhishek Tiwari is located at
Boston, Massachusetts, United States

Abhishek Tiwari is a I am a dedicated and innovative Software Engineer with a proven track record in designing and implementing robust distributed systems and AWS solutions. With a Master’s degree in Computer Science from Boston University and a Bachelor’s in Data Science from SP Jain School of Global Management, I combine academic excellence with hands-on experience in the tech industry. At Adaptive Investment Solutions, I have: - Developed a distributed system using AWS ECS, Ray, and Docker, reducing option chain data retrieval time by 95%. - Engineered the Market Shield feature for real-time portfolio tracking and automated index put procurement. - Enhanced service endpoints with autoscaling and load balancing, increasing capacity by 200% and reducing costs by 30%. My technical expertise includes Python, Java, Go, C++, JavaScript, and Swift, along with extensive experience in tools like Docker, Kubernetes, AWS, and Ray. I have a strong background in DevOps, machine learning, and agile methodologies, which enables me to deliver high-quality solutions efficiently. In addition to my professional experience, I have contributed to various projects such as: - Developing a decentralized cluster management protocol in Go, improving failover response time by 60%. - Implementing the Raft consensus algorithm for distributed state management, enhancing system reliability. - Creating a distributed query execution platform using Ray, supporting flexible query operations. During my time as a Research Assistant at Boston University, I: - Designed multi-cloud deployment strategies, orchestrating the parallel deployment of servers for efficient processing of petabyte-scale Landsat data. - Developed algorithms to optimize memory usage for large-scale data analysis, enabling efficient time series construction from large TIFF files. - Implemented a parameter server to support distributed machine learning models on time-series data, enhancing large-scale data analysis effectiveness. I am passionate about solving complex problems and continuously learning and adapting to new technologies. My goal is to leverage my skills and experience to drive technological innovation and deliver impactful solutions.