Anoop Koloth
Delivering impactful results through visionary leadership and a track record of successful strategy delivery across high-pressure environments.
Engineering Leader
Experience driving strategy
at large scale with
more than 30 plus teams ,
200+ engineers and
20+ leaders involved...
Ethusiast
Android baby taxi app for taxi rides in rural India , Dottedyellow IOS app for learner permit US .
Currently working on "Composite Man" ...
Industry Expert
Invited for judging at Stevies , Golden Bridge , speaker at Kubernetes Conf.
Stevie "Technical Profession of the Year award recipient - 2022"
Tech
12 billions plus traffic , peta bytes of data , complex architectures , distributed teams , distributed systems ..
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About Me ..
My professional journey ( 17 plus years ) has equipped me
with a diverse skill set and a wealth of experiences.
I've functioned as a full-stack engineer long before the
industry adopted the term.
And when I say full stack , have worked all along the
" journey of a packet " ,
from user perception , site optimizations , advertisements , device experiences ,instrumentation and analytics , edge computing , caching , retail services , retail platform , competitive crawls , search platforms , forward money movement , reverse money movement to data platforms.
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Scale , complexity or naysayers have never intimidated me or will ...
If a problem is worth solving for business better be it ..
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Today, I view myself as a "Bayesian" engineering leader,
constantly exploring innovative ways to enhance project outcomes,
whether in technology, product development, or nurturing a positive
organizational culture.
Recognized for my ability to thrive in high-pressure situations,
interact confidently with executives, and
tackle intricate challenges,
I've garnered various monikers like
"lifesaver," "Swiss knife," and "unicorn."
My approach is characterized by visionary thinking,
adaptability, and a strong work ethic,
ensuring successful execution and adeptly navigating ambiguity.
User Experience
Desktop , Android , IOS experience development, site optimization , client tracking , experimentation , caching
Data Platforms
Crawler Engine on competitive site acquiring 193TB of competitive insights spanning across 36,117 key attributes . Empowering competitive pricing edge for ebay.
Native Performance
New patented metric to measure user perception , capabilities to launch & validate app on external devices for user performance validation
(2016) before submitting to respective stores. App journey from 3.3 to 4.8 star
GIS
Mapping the world .
National parks in Nepal , Africa , cities in India ..
Edge Computing
Control plane , data plane , l7 , l3 , server side push , software defined networks , envoy , apache traffic server , dynamic caching ,
Cloud Services
Open stack integration enabling elastic at scale (2015) , Early Org to scale & optimize elastic for performance.
100 billion doc store accommodated
Developer Velocity
Quality data discovery fir feature development , reducing development time from 2 weeks to a day.
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Contract based development , enabling cross domain teams to deliver in parallel instead waiting on others to finish & provision.
Enthusiast
Since July 2024 , working on
product "The Composite Man " ....
In 2020, I founded Dottedyellow, offering an animated real-world driving test app for iOS aimed at teenagers.
In 2015, I launched Babytaxi, an Android app for taxi aggregation, particularly catering to rural areas with limited network connectivity.
Advertisement
Creatives , SSP , parallel bidding , RTB , server side push , creatives , publisher topology , pre-flight calls.
Ads on Edge 40% reduction in latency , 12 billion transaction volume enabled withstanding the 8x surge during COVID.
Observability
East-West traffic observability platform
(2011 ) , north - south traffic edge observability coupled with anomaly detection ( 2018 )
Performance Engineering
Engineering across protocols ranging from JVM , Mainframe, Oracle databases, IVR (Interactive Voice Response), web applications, and SMTP (Simple Mail Transfer Protocol) , also including POS, ( Prior 2011 )
Retail Services
Under the hood of homepage, deals, search, SEO, ads, view item, stores, pricing, SME, structured data, incentives, tax, billing, payments, trust,, selling, orders, protections, cancellations, claims, returns, disputes, payouts, shipping, risk, and GCX
Strategy
Develop ,implement and evangelize ebay towards noSql databases , elastic and Kafka.
Driving Speed mindset across the board
Introducing new deployment strategy for mobile apps , aligning vendor products to unlock capabilities to run mobiles apps on remote devices prior launch to * store
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Driving towards metrics to debug mindset , dynamic alerts for production
Driving access to data closer and quicker in product development through edge.
Changing the product development lifecycle introducing proprietary contract based , data discovery for faster feature development.
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Executive Communication
Board of Director , and Founder presentation
product strategy , execution strategy , and vision walkthrough with VP , SVP and above since 2018 .
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Product Lifecycle Velocity
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Edge Computing
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Optimize for Speed
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Data Platforms and Cloud Services
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Performance Engineering , Tools and GIS
Initiatives ..
I am an "agent" with intrinsic reward and curiosity driven algorithm .. hence the exploratory behavior in my observation space ... have gradually added more and more into the observation space...​​
When post 25 years of existence & interdependent teams to get everything done , 4k plus active services , different prioritization , different tech stacks , complexity just amplifies to deliver products quicker and safer ...
This is marketplaces ... every change has an impact ...​ the multi layer journey of data to service to product ...
Experience , experience ,
experience coupled with regulations ,
the data is moving closer & closer , localized to end user .
Benefits - low latency regulated experiences .
Complexity ... Hmm .. infra , control , observability , experimentation , new paradigm ...
Now adding advertisement to the equation ,
cant break while you make .. being more aspirational cache user , non user data separately ... challenging right .. we did it ..
Cool features , latest and greatest app rollouts .. hmm .. app rating dropped to 3.3 and active user drops ....
Escalations , escalations , escalations ......... save the business
Hmm.. observability , instrumentation bugs , no scope to measure user perceptions .. build .. iterate .. build .. explore .. new systems in existences .. new methods ... new mindset .. 7 iterations later .. app 4.8 star rated ...
Crawl for success ... secret stealth project .. insights 36K attribute insights ... up in SEO ranking , up in competitive pricing , up in new merchant discovery for Paypal , a journey from unstructured partial data to structure holistic data models ....
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Then the needle in haystack .. 100 billion doc store .. these days its nothing but these were even prior early adopters & early majority ... unlocking observability at scale , business insights , inventory insights and many more use cases just fit in to the elastic world ...
Days when lambda , auto flex did not exist , optimize is all you have with restrictive budget .. sockets , connections , occupancy fractions , compilation cost , instrumentation overhead all mattered , serialization & deserialization cost ... bare metal boxes given ... make the max out of these boxes ...
Observation Space .....
Android Development
( Android , MQTT , AWS ) - Babytaxi taxi aggregator in rural india
IOS Development
( GCP , Swift , Adobe After Effect to App Animations, Test & Deploy App store , LLC ) - Dottedyellow App
User Experience
Web Development
( Html to React , Critical Rendering Path Optimization , Dom mutations tracking , real user monitoring , everything that impact the page , DNS , first byte time to user interaction , unloads to creatives , header bidding to RTB , user agents to cookies to context to experimentation , single page to components based )
Analytics
( Bounce rates , geo pockets , ATB , path based analysis , bots , instrumentation disconnects , latency )
CDN : Akamai , Sumo logic
Network : DSR , sure routes , BGP & AS , SDN , north south , east west ,OSI l3 , l7 , GTM , heartbeats , ratelimits
Infra : Contour , Kubernetes , Elastic , go apps , c++ , SLB custom filters , filter chains
Techniques : no-op calls , ATS customizations , push from data center to edge , routes,
Anomaly detection observability systems, SRE , High risk rollouts
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Edge Computing
Advertisments
Parallel bidding , RTB , DSP , SSP , creatives , ad types , server side push , user attributes , pre flight calls , publisher topology , roll out strategies without impact ,
CPM & CPI
Cloud and Data Platforms
Java apps , elastic , kafka , mongo , hadoop , grpc , rest , http/s , distributed systems ,
scale , reliability and resilency , analytics , jupyter notebooks & python , REST , batch applications , SQL , anonymization & subsetting
Retail Services
Java Experience Services , web , mobile web , native application , redirections , deep links , forward money movement flows & reverse money movement flows , authenticity failure codes , return reason codes , listing attributes , site variants , tax variants , seller variants , order variants , SKU variants , deals coupons , stores , filter types , products , data flags , feature flags , experimentation flags , archive & expirations , environment variants , regulation data model variants , GCX situations ...
Connect the dots in this heterogeneous ecosystems ...
Developer Velocity
From trains , to agile , scrums to kanban to "it just works " , test based development , contract based development , local box test , rejuvenate the 10 year ignore staging env to fully functional , api catalog to power AI models , BDD to auto contract generation , mocks to insights , change tracing , imperative to reactive , metrics to debug , dependency graphs , auto functional orgs , AST for API insights ...
Currently working on ........
From the complexities of the marketplace observation space , this agent has expanded its scope to a much larger complex data set , ​
Me at Medium
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The 4R’s and The Pacman , Rings & Springs​​​​​​​​​
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A good read to understand , the general dynamics of Organizations
major attributes & how AI impacts these attributes.
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A quick read on "product" development in general ... Once you done reading ....
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Wolf Round the Corner ....
​​​​​​​​You are augmenting the AI models currently , when would you alter ( fine tune ) the same ?
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Whats your change data capture strategy , embeddings updates or external calls to update the context ?