George Talbot work email
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George Talbot personal email
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I am a technical professional with extensive experience in software design, development and project management.I hold and have held roles as an embedded system engineer, scientific software engineer, team lead and expert project managment and estimator for real-time embedded systems, scientific software, and large-scale, distributed software systems.I am a self-starter with outstanding, varied technical skills. I can "land on my feet" and succeed in any software development environment. My track record proves that I can sucessfully interpret the needs of end users, negotiate the scope of the end product, build software that exceeds expectations, and explain what's been done to a wide audience. My project management skills and attention to detail make all of this happen in a timely manner, and with very high quality.I enjoy learning new technologies and languages and am always looking to broaden my horizons. I have had a lot of experience at walking into an unfamiliar environment, learning how my co-workers work, how the software works, and am able to make significant contributions quickly. I have a wide range and can design software for "bare metal" all the way through large distributed systems.Specialties: I am an expert technologist in real-time embedded systems, synchronization of heterogeneous multi-processor systems, message passing, algorithm design, project management and estimation. I have developed software in a variety of environments such as Linux, MacOS, Windows, pSOS, clustered Linux systems using languages/frameworks such as Java, J2ME, advanced C++, garbage collection in C++, assembly language, Qt, ActiveX, PHP, Perl, SQL (Oracle & Postgres), and Google's internal systems.
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Staff Software EngineerDatadog Aug 2020 - PresentNew York, Ny, UsI've been responsible for helping the team bringing Datadog's next-generation storage system to production. Crucial contributions to this effort include: I conceived of and implemented the "stateless" deduplication scheme at ingest--which made it possible to take on our first large internal customers. I conceived of and implemented a means to enforce data locality (similar to Snowflake micropartitions) where a best-effort schema and data ordering is established over a table at ingest and extended across all data shards at compaction. This reduced overall system cost by at least 30% by allowing early pruning of data during queries. Releasing this storage system and turning down the older one represents a 5x improvement in cost for Datadog's most data-intensive products, such as logs. I continue to explore improvements such as delayed materialization, plus additional large-scale analytical features supporting our most important products.
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Staff Software EngineerGoogle Nov 2018 - Aug 2020Mountain View, Ca, UsTech lead for data collection, in-memory storage and checkpointing for planet-scale monitoring storage system supporting both internal systems and Cloud customers. Focus areas include scaling, reliability, architecture, multi-core, distributed systems. Championed exemplars feature for joining trace with monitoring and for analysis of long-tail data, which helps customers reduce MTTR by quickly identifying problematic servers, serving patterns, etc. -
Senior Software EngineerGoogle Jan 2010 - Aug 2020Mountain View, Ca, UsResponsible for a variety features and designs for large-scale distributed monitoring systems.In particular: Architectural improvements to design of large-scale monitoring system to optimize high throughput push-direction collection of metric data into the monitoring system, including integration with large-scale internal customers. Historical data pipeline optimization. Advanced latency visualization. Optimized deployment of entire system to take into account network and geographical failure domains for reliability in presence of long-haul network outages including resharding system deployment and all monitoring data long these lines. Reliable, stable, performant contributions to data collection code running in every binary at Google. Performance and memory-usage optimization, with particular strength in distributed and multi-core and multithreaded systems.Misc: technical interviewing, mentoring, oncall rotation
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Senior Scientific Software EngineerLocus Pharmaceuticals Feb 2003 - Jan 2010UsResponsible for development processes, from requirements gathering, through implementation and delivery, of the core computational drug design technology.Have continued to improve the quality and speed by several orders of magnitude via algorithms, human-factors, and process improvements. This has led the drug designers to many drug design wins with external collaborators, including active drug series now in clinical testing. This has led to several innovative, active drug classes, both internally and for our partners.Developed innovative parallel Linux cluster file system for high-bandwidth access to scientific data, enabling two orders of magnitude increase in data set size for simulation and searching.Methodology follows a largely agile-style, with frequent releases tracking the needs of the drug design process. My strong communication skills promote very tight integration with the needs of the end users.Developed thorough automated regression testing method which makes possible very rapid development with very few production failures, and makes it possible to deliver fundamental algorithmic improvements without compromising quality.Developed algorithms which sped up fragment-based molecule searches by several orders of magnitude. Jointly developed method with team members for estimating whole molecule energy of joined molecular fragments that enabled significant accuracy gains in binding free energy estimates. -
Senior Dsp EngineerLucent Technologies 2000 - 2002Espoo, Southern Finland, FiWorked in Multivoice VoIP gateway group and was responsible for jitter-buffering software and DSP-management software for VoIP boards. Reduced latency of VoIP calls on this product by >30%. Designed and implemented real-time cooperative (not as much of a contradiction as you might think) kernel for StrongARM processor that allowed said latency reduction by more carefully managing flows of VoIP frames into and out of DSP's in coordination with modem flows. Had key role in increasing the top capacity of the unit from 280 calls/DSP board to 672 calls/DSP board. -
Senior Software EngineerAscend Communications 1999 - 2000See Lucent Technologies above. Ascend merged into Lucent shortly after I arrived. -
Senior Software EngineerMoberg Research 1998 - 2000Ambler, Pa, UsDesigned and implemented architecture for the company's multi-modality monitor. This project was successful and is being OEM distributed via another company. -
Senior Software EngineerVoxware 1996 - 1998Hamilton, Nj, UsRefined architecture of core company API technology. Studied operation of jitter buffering of leading Voxphone VoIP product and made several changes that improved latency. Developed voice-memo API that was used to integrate company's codec technology into the Nokia 6000 handset. -
Senior Software EngineerMoberg Medical 1990 - 1996Architected and implemented real-time embedded software for an 8-channel real-time digital EEG monitor. Was responsible for technical leadership of 8-person team.
George Talbot Skills
George Talbot Education Details
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Drexel UniversityComputer Science -
Delsea Regional High School
Frequently Asked Questions about George Talbot
What company does George Talbot work for?
George Talbot works for Datadog
What is George Talbot's role at the current company?
George Talbot's current role is Staff Software Engineer at Datadog.
What is George Talbot's email address?
George Talbot's email address is ge****@****ail.com
What schools did George Talbot attend?
George Talbot attended Drexel University, Delsea Regional High School.
What are some of George Talbot's interests?
George Talbot has interest in Economic Empowerment, Civil Rights And Social Action, Environment, Science And Technology, Disaster And Humanitarian Relief, Human Rights, Arts And Culture.
What skills is George Talbot known for?
George Talbot has skills like Linux, Big Data, C++, Mapreduce, Distributed Systems, Bigtable, Algorithms, Software Design, Embedded Systems, Software Engineering, Java, Unix.
Who are George Talbot's colleagues?
George Talbot's colleagues are Quốc Đam Doãn, Pablo Acosta, - Undefined, Jane Wang, Mélanie Hu, Cédric Van Rompay, Brett Langdon.
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