Ajitesh Das
Introduction (PVP)
Slide No.
About Me
2
Personal Profile
19 years of achievements bolstering software development and
innovation through strategic management and business solutions. By
blending advanced technical and leadership talents, I have fostered
improvements in high-growth, dynamic, global environments.
Education
*MBA @ Vanderbilt Univ/Owen
*MS (Comp Sc) @IISc, Bangalore,India.
*BS (Comp Sc) @ Jadavpur Univ/India
Achievements
X 5+ software products from scratch that earned
numerous technical and business awards.
X fully automated operation model that improved
contact rates by 80% while cutting operational costs
by 62%.
X Scaling winning teams of engineers that delivered
10+ product releases and 6+ major projects that
exceeded KPIs.
X Elevated 5+ startups and new business units by
incubating flagship products in alignment with
strategic business goals.
Work Experience
x Paypal (2015-) - Engineering leader
x NextLabs (2014-15) -In+Out Product Management
x Informatica (2012-14) -Engineering Leader
x JDA (2011-12) - Retail Data Architect
x BidKite (2010-11) - CTO/Co-founder
x Microsoft (2007-10) In bound Product Mgmt
x Zona/Shanda (2003-05) -2nd Emp of startup
Contact Info
LinkedIn -http://www.linkedin.com/in/ajiteshdas
Email: dajitesh@gmail.com
Cell: 408.425.1627
Hobbies
*Upgrade technology
*Blockchain and Bitcoin
*Open Source-GNU
Key Strengths
Quality - Process/Automation
Data models -OLTP/OLAP
Security (Data/Perimeter)
People
Product
Process
Project
Distributed architecture
Innovation
Leadership Style -
*Handson *Lead by example * Razor focus
on Quality and commitment (predictable)
Career Roadmap
Paypal
= TTM from 18mo to 3 weeks
= Latency from 750ms to 26ms
= Migration of 20 mil legacy code with 0 critical issue
= Active/Active with 4 NINE availabilty (99.99)
= Batch tho’put 113 tps → 900 tps
= 5x scale on post processing
= availability of Partner Stage 50→ 99
= Contact rate reduction by 79%
= MTTA < 1 min from 4 hrs
= Fm 33% → 0 team attr,
= 2 Team innovtion award
JDA
=Improved ROI by
30% by centralizing
retail data models
=2x processing thro’put
improvement
(Legacy→ Hadoop)
Zona/Shanda
= 2nd employee from
2→ 128
= Terazona &
ZonaModeler
= 3 mill concurrent
WAN players
= Featured in 10+
technical journals
.
Informatica
= 6x new products
= 11% CSAT increase
= 83% Prod stability
improvement NextLabs
= 11mil deals closes
with out of the box
solution
= Revived and
salvaged 7.5 release
with 31% prod stability
BidKite
= Secure 0.4 mil seed
= incubated infra/prod
from scratch
Microsoft
=Revive MSN games,
Up rev from 25 mil to
69 mil
= ARPU up by 130%
= 35% improvement on
User Stickiness
Paypal
Payment engine/Product (OLTP)
a. NoSQL, Data modeling & caching write around caching/write thro caching- Latency reduction 700%
down
b. Micro-service architecture adoption - scale cube - TTM from 18 months to 3 weeks
c. Zero code change smart client migration - 0 code change, due to fallback 0 broken paths
d. Active/active - read/write - 4 Nines availability
Offline/Batch
a. Batch throughput from 113 tps to 900 tps scale thro' user categorization sharding
Post-Processing/Daemon
a. Scale 500% times using optimizing locks away from pessimistic locks & moving away from transaction
journaling from account based journaling
Process
A. Quality of any risky migration with Shadow testing
LiveOps
a. NPMR - Contact rate (reduction of 79%), MTTA (from 4 hrs to <5 mins)
b. Tools - Snapshot, Product Knowledge base - MTTR - from 24 hr to <8 hrs
DevOps
a. Primary and Secondary partner stage - from 50% availability to 99% availability
Key Accolades
Paypal
People
a. Scale up an almost burnt out team with attrition rate 33% (double in compare to engineering org) to 0%
attrition and winning 2 innovation team awards
NextLabs
Outbound product management
a. Pinpoint and address the pivotal customer needs by crafting a offline solution from a OLTP product which
helped closing 11mil usd deal
Inbound product management
b. Salvaged a almost collapsed release (7.5) of a inherited legacy product (7.0) with 31% improvement in
stability
Informatica
Quality/Process
a. Salvaged a almost collapsed release (9.6) of the flagship ILM product (TDM) with 90% improvement in
quality.
Extreme Partnership with Product Management
a. 6x expansion on products portfolio with 8 new DMO, TDG, and Mapgen products.
Process/Live Support
a. Incubated and roll out sustainability process and team that increased CSAT score by 11%
Key Accolades
JDA
Data Architecture
a. Authored the centralized retail data model that captured customized dimensions of data and integrate
diversified retail analytics into one data platform which increased ROI by 30% and reduced data preparation
by 90%.
Offline Processing
a Prototyped and productionized new hadoop based analytics and recommendation engine which improved
thro'put by 2x times.
BidKite.com
Leadership
a. Co Founded and assembled a team 12 engineering team with volunteers, interns and students.
b. Delivered a prototype and secured seed funding of 0.4 mil
Microsoft
Business Acumen
a. Revived the 14 yrs old stagnant growth MSN games and increase revenue from 25 million to 69 millions
with new monetization features
b. Increased ARPU by 130 percent by new merchandizing features
c. Increased User stickiness by 30% with new engagement features (braggable badge reward system)
Zona/Shanda Networks
a. Led the architecture, engineering, product, business and sales growth [2 emp -->128 employee, MMOG
that supports 3 mil concurrent players, closing deals with game operators]
Key Accolades

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Ajitesh new self_intro

  • 2. Slide No. About Me 2 Personal Profile 19 years of achievements bolstering software development and innovation through strategic management and business solutions. By blending advanced technical and leadership talents, I have fostered improvements in high-growth, dynamic, global environments. Education *MBA @ Vanderbilt Univ/Owen *MS (Comp Sc) @IISc, Bangalore,India. *BS (Comp Sc) @ Jadavpur Univ/India Achievements X 5+ software products from scratch that earned numerous technical and business awards. X fully automated operation model that improved contact rates by 80% while cutting operational costs by 62%. X Scaling winning teams of engineers that delivered 10+ product releases and 6+ major projects that exceeded KPIs. X Elevated 5+ startups and new business units by incubating flagship products in alignment with strategic business goals. Work Experience x Paypal (2015-) - Engineering leader x NextLabs (2014-15) -In+Out Product Management x Informatica (2012-14) -Engineering Leader x JDA (2011-12) - Retail Data Architect x BidKite (2010-11) - CTO/Co-founder x Microsoft (2007-10) In bound Product Mgmt x Zona/Shanda (2003-05) -2nd Emp of startup Contact Info LinkedIn -http://www.linkedin.com/in/ajiteshdas Email: dajitesh@gmail.com Cell: 408.425.1627 Hobbies *Upgrade technology *Blockchain and Bitcoin *Open Source-GNU Key Strengths Quality - Process/Automation Data models -OLTP/OLAP Security (Data/Perimeter) People Product Process Project Distributed architecture Innovation Leadership Style - *Handson *Lead by example * Razor focus on Quality and commitment (predictable)
  • 3. Career Roadmap Paypal = TTM from 18mo to 3 weeks = Latency from 750ms to 26ms = Migration of 20 mil legacy code with 0 critical issue = Active/Active with 4 NINE availabilty (99.99) = Batch tho’put 113 tps → 900 tps = 5x scale on post processing = availability of Partner Stage 50→ 99 = Contact rate reduction by 79% = MTTA < 1 min from 4 hrs = Fm 33% → 0 team attr, = 2 Team innovtion award JDA =Improved ROI by 30% by centralizing retail data models =2x processing thro’put improvement (Legacy→ Hadoop) Zona/Shanda = 2nd employee from 2→ 128 = Terazona & ZonaModeler = 3 mill concurrent WAN players = Featured in 10+ technical journals . Informatica = 6x new products = 11% CSAT increase = 83% Prod stability improvement NextLabs = 11mil deals closes with out of the box solution = Revived and salvaged 7.5 release with 31% prod stability BidKite = Secure 0.4 mil seed = incubated infra/prod from scratch Microsoft =Revive MSN games, Up rev from 25 mil to 69 mil = ARPU up by 130% = 35% improvement on User Stickiness
  • 4. Paypal Payment engine/Product (OLTP) a. NoSQL, Data modeling & caching write around caching/write thro caching- Latency reduction 700% down b. Micro-service architecture adoption - scale cube - TTM from 18 months to 3 weeks c. Zero code change smart client migration - 0 code change, due to fallback 0 broken paths d. Active/active - read/write - 4 Nines availability Offline/Batch a. Batch throughput from 113 tps to 900 tps scale thro' user categorization sharding Post-Processing/Daemon a. Scale 500% times using optimizing locks away from pessimistic locks & moving away from transaction journaling from account based journaling Process A. Quality of any risky migration with Shadow testing LiveOps a. NPMR - Contact rate (reduction of 79%), MTTA (from 4 hrs to <5 mins) b. Tools - Snapshot, Product Knowledge base - MTTR - from 24 hr to <8 hrs DevOps a. Primary and Secondary partner stage - from 50% availability to 99% availability Key Accolades
  • 5. Paypal People a. Scale up an almost burnt out team with attrition rate 33% (double in compare to engineering org) to 0% attrition and winning 2 innovation team awards NextLabs Outbound product management a. Pinpoint and address the pivotal customer needs by crafting a offline solution from a OLTP product which helped closing 11mil usd deal Inbound product management b. Salvaged a almost collapsed release (7.5) of a inherited legacy product (7.0) with 31% improvement in stability Informatica Quality/Process a. Salvaged a almost collapsed release (9.6) of the flagship ILM product (TDM) with 90% improvement in quality. Extreme Partnership with Product Management a. 6x expansion on products portfolio with 8 new DMO, TDG, and Mapgen products. Process/Live Support a. Incubated and roll out sustainability process and team that increased CSAT score by 11% Key Accolades
  • 6. JDA Data Architecture a. Authored the centralized retail data model that captured customized dimensions of data and integrate diversified retail analytics into one data platform which increased ROI by 30% and reduced data preparation by 90%. Offline Processing a Prototyped and productionized new hadoop based analytics and recommendation engine which improved thro'put by 2x times. BidKite.com Leadership a. Co Founded and assembled a team 12 engineering team with volunteers, interns and students. b. Delivered a prototype and secured seed funding of 0.4 mil Microsoft Business Acumen a. Revived the 14 yrs old stagnant growth MSN games and increase revenue from 25 million to 69 millions with new monetization features b. Increased ARPU by 130 percent by new merchandizing features c. Increased User stickiness by 30% with new engagement features (braggable badge reward system) Zona/Shanda Networks a. Led the architecture, engineering, product, business and sales growth [2 emp -->128 employee, MMOG that supports 3 mil concurrent players, closing deals with game operators] Key Accolades