Bhupesh Bansal 
Homepage: http://www.linkedin.com/in/bhupeshbansal E-mail: bbansal.usc@gmail.com
Nationality – Indian 
SUMMARY 
 
Technical visionary and leader with deep expertise in large scale systems, search, data infrastructure, personalization and consumer products. Strong passion and drive to hire and build great organizations and solve complex problems. 10+ years technical and leadership experience in different verticals like social networks, advertising and local commerce with proven track record of building great teams and shipping great products. 
EDUCATION 
	•	M.S. Computer Science, University of Southern California, Los Angles. 
	•	B.Tech Computer Science, IIT Kharagpur, India 
WORK EXPERIENCE 

(Jan’05 – May’06) (Jun’99 – May’03) 
 
	•	Co-Founder & CTO, sudo.ai 
		❖  Co-founded and started company focussed on personal virtual assistant for enterprises. 
		❖  Raised 500K as angel round on 10M valuation. 

	•	Director of Engineering, Dynamic Pricing, Groupon (Apr’13 – Jan’15) 
		❖  Designed and developed price optimization platform for Groupon and grew the team and business 
from 2 person team and $0 to 20 person team with $200M revenue. 
		❖  Lead the cross team initiative to change the course of local commerce in North America, changing a 
negative 5% growth curve to +15% in 18 months with multiple product initiatives and execution. 

		❖  Build fast growing business unit inside Groupon using dynamic pricing platform and sales strategies. 

	•	Engineering Manager, Groupon (Oct’11 – Apr’13) ❖ Building a world-class team to provide large scale data infrastructure as managed platforms for 
various teams at Groupon Internationally. 
		❖  Designed and developed Software as a Service (Saas) platform for real-time Search, publish/subscribe 
messaging system and real time log transport 

		❖  Developed and contributed to different open source initiatives eg. Solr, HornetQ, flume and kafka 

• Founding
❖ Designed and build the entire data mining/reporting infrastructure with real time dashboards, daily 
Engineer, Tellapart Inc (acquired by Twitter), Burlingame, USA (Feb ‘10 – Mar ‘11) 
reports and Ad-hoc analysis. 
		❖  Designed and build an A/B experimentation platform to run 1000’s of experiments in parallel on user 
segments with daily reports. 

		❖  Improved base Click Through Rates by 120% by focusing on creative optimization in banner 
personalization, associated products, seasonality effects etc. 

	•	Senior Software Engineer, Linkedin Inc, Mountain View, USA (Aug ‘07 – Jan’10) 
		❖  Co-Author of Project-Voldemort an open-source scalable distributed key-value storage system. 

		❖  Co-Author of Azkaban (open sourced Hadoop workflow management system) 

		❖  Contributor/Presenter for open source projects eg. Hadoop,Pig, Project-Voldemort, Lucene etc. 

		❖  Reimplemented “People You May Know (PYMK)” application using batch computation platform with measured lift of 1200% in 3 months. 

	•	Senior Software Engineer, Yahoo Inc, Burbank , USA (Jun ‘06 –Aug’ 07) 
		❖  Offer Ranking and revenue optimization algorithms. 

		❖  Performance optimization and s/w development for different components for Content Match Product. 

		❖  Budget rotation and Yield optimization techniques. 

(Jan’15 – present) 
!1 
❖ Co-owner of Front End Optimization System component in content-match product. PATENTS 
	1.	“Method, Apparatus and computer program product for facilitating dynamic pricing for local deals” - Application No. 14298,291 filed June 6, 2014 

	2.	“Method, Apparatus and computer program product for providing group rewards.” - Application No. 62/056,039 filed September 26, 2014 

	3.	“Method, Apparatus and computer program product for providing a user platform for a real time market place for local deals.” - Application No. 62/056,085 filed September 26, 2014 
OPEN SOURCE CONTRIBUTIONS 

	1.	Co-Author of Project-Voldemort an open-source scalable distributed key-value storage system. http:// www.project-voldemort.com/voldemort/ 

	2.	Co-Author of Azkaban(first-version), an open source framework to handle hadoop job dependencies and complex batch computing job graphs. http://data.linkedin.com/opensource/azkaban 
PUBLICATIONS 

	1.	Bhupesh Bansal, Ümit V. Çatalyürek, Aiichiro Nakano and others “Intelligent Optimization of Parallel and Distributed Applications”. IEEE IPDPS 2007 

	2.	Cheng Zhang, Bhupesh Bansal, Paulo S. Branicio and others “Collision-free spatial hash functions for structural analysis of billion-vertex chemical bond networks” Computer Physics Communications (2006) 

	3.	Yiinju L. Nelson, Bhupesh Bansal, Mary W. Hall, Aiichiro Nakano, Kristina Lerman “Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization” IEEE IPDPS 2008 

	4.	Bhupesh Bansal, Monojit Choudhury, Pradipta Ranjan Ray, Sudeshna Sarkar and Anupam Basu. “Isolated-word Error Correction for Partially Phonemic Languages using Phonetic Cues” KBCS 2004. 

	5.	Bhupesh Bansal, Anupam Basu. ”Optimization of virtual keyboard for people with Neuro-Motor 
disorders”, at International Conference on Communication, Devices and Intelligent Systems (CODIS 2004), Jan 2004 
INVITED TALKS 

	1.	Hadoop user group, Jan 2010, http://www.slideshare.net/bhupeshbansal/hadoop-user-group-jan2010 

	2.	“Scaling Data at Linkedin”, SDForum Aug 2008, http://www.mefeedia.com/watch/30956137 

	3.	“NoSql Vs RDBMS” Panel discussion, Plug and Play Tech, Feb 2010 

	4.	“Large scale data web 3.0”, Panel Discussion, Hackers summit, Jun 2010