May 2024 – Jan 2025 · 8 mos · Bangalore Urban, Karnataka, India · On-site

Feb 2022 – Jan 2025 · 2 yrs 11 mos · Bengaluru, Karnataka, India · On-site

Sep 2021 – Feb 2022 · 5 mos · Bangalore Urban, Karnataka, India

• Leading product led growth
• Leading micro apps
• Leading promo products, platforms

Mar 2021 – Nov 2021 · 8 mos · Bangalore Urban, Karnataka, India

• Leading pricing, loyalty pod
• Leading external platforms pod
• Leading business growth pod

Mar 2020 – Mar 2021 · 1 yr · Bengaluru, Karnataka, India

Jan 2019 – Mar 2021 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• 4+ core products
• 10,000+ transacting users
• 8+ end stakeholders
• 4+ customer cohorts
• 50%+ D60 retention (5+ stakeholders)
• 20+ mateys

Sep 2017 – Dec 2018 · 1 yr 3 mos · Bengaluru Area, India

• # AutoINFER - AI-driven inferencing and correlational skills using temporal and non-temporal state variations - scalable and reusable knowledge defined over custom concepts.
• # AI generated second opinions based on case facts.
• # NLP/Knowledge-graph based state of the art differential diagnosis - AutoNER, domain travel among the highly overlapping families of symptoms and diseases. Figuring out the sense in correlations and intrinsic graphical models closely tied to the domain. Semantically smart systems.
• # Symptom churn relevance.
• # AI generated preventive care - made over a stochastic foundation
• PATENT - AUTOMATED MEDICAL DIAGNOSIS SYSTEM AND METHOD
• Patent dateFiled Jul 16, 2018 Patent issuer and numberin 201841026401
• PUBLISHED -

Jan 2016 – Sep 2017 · 1 yr 8 mos

• #MyntraMirror
• A two-way IOT enabled mirror to determine your fashion quotient considering myntra assets and catalogue as the ground premise: https://tech.economictimes.indiatimes.com/news/internet/inside-myntras-innovation-labs-talking-t-shirts-myntra-mirror-more/61427055
• #Jabong/Myntra: Org wide data-systems migrations.
• Across verticals data migration systems design - distributed monitored ETL job workflows.
• # Logical & Functional Architecture
• Data-science Platform(Logical & Functional)
• Data-science ETL Platform(Logical & Functional) - Configuration based workflow managed jobs.
• Communication Strategy platform(Logical & Functional)
• Composite business splits & Modular capability(independent service module) binding.
• #Performance Optimization
• Technology-Model Integration
• Highly available systems.
• #Pricing Systems
• Heuristic business supply side system(Tars/Aviator): Myntra's engine to understand, analyse, formulate and apply business side understandings to pricing initiatives.
• Elasticity(Demand-side pricing)
• Product Diffusion-based pricing: based on BDM(Bass Diffusion Model) by Frank Bass - Captures the life cycle based variations to optimize Revenue & Margin - Beta
• #Traffic Systems
• Journey based insights, cross category movements.
• Real time Intent aggregation pipe.
• Heuristic reporting systems.
• Sequence modelling.
• #Decision support systems.
• Goal Seek(Pricing)
• Catalogue model(human) attributes(background/lighting) impact.

Sep 2014 – Dec 2015 · 1 yr 3 mos

• Wrote real time data analytics crunching platform - System crunches and extracts heuristic based AI insights on the fly.
• http://sartorialscience.myntrablogs.com/2015/02/oculus-real-time-business-insights.html
• Modelled and wrote TimeSeries aggregation layer over Cassandra.
• Modelled and wrote Aggregation/Insights layer over MongoDB.
• Stream Processing Algorithms !
• Worked on dynamic Pricing & Promotion platform - Wrote the heuristic strategy platform as a sub-platform for the pricing platform.
• Wrote a coupon engine to facilitate dynamic coupon pricing/applicability as a revenue/margin optimization initiative.
• # Machine Learning in Healthcare, deep trained systems for custom health verticals.
• # Machine learning in Supply Chain Management systems and respective optimizations - clustering with double limits, routing & warehouse segregation, cross-sell, recommenders, personalised preference matches.
• # Machine learning for Fashion & Clothing domain - recommenders/personalization & grouping at various levels.
• # Sequence learning, Residual networks for delta learning systems, Computer Vision, AI-based mathematical decision support systems.
• # Recommendation systems at scale - distance based, collaborative, user-user, item-item, attributes(metadata) based.
• # Scalable microservice architecture.
• # Revenue & Margin optimisation pricing platforms using Heuristics, Product elasticity-modelling and product lifecycle based diffusion.
• # Service discovery, binding, orchestration, container management, lifecycle management on Async communication basis platforms.

Oct 2013 – Sep 2014 · 11 mos · Bengaluru, Karnataka, India

• # ETL systems, Data-pipelines, scale-out analytics/reporting, Stream Processing.
• # Messaging providers - Kafka, RabbitMQ etc
• # Dimension modelling and optimized datastore selection/implementation in a clustered environment.
• # Hadoop (HDFS) - MapReduce.
• # NoSQL datastores - Cassandra, MongoDB, HBase
• # Multi-node cluster setup on Amazon EC2, cluster planning, memory management.
• # RESTful web-services. # Problem solving # Algorithms # Data Structures
• # Data ingestion - Sqoop. # Flume
• # PigLatin-PIG for Data-Pipe # Hive
• Proof of concepts for possible migration regarding big data based back end technologies and scalable capabilities.
• Code uplift of legacy application via algorithm switching.
• Worked on a small set of performance bottlenecks
• Time-sheet generation through Java for Mobility platform.

Nov 2012 – Oct 2013 · 11 mos · Bangalore, India

• Job Broker distributed platform to manage jobs centrally.
• Distributed Data-Acquisition platform.
• Distributed ETL platform.
• Data-Extraction using Java tasks from CDN providers.
• Data-Load using Java tasks to DB.
• API's for Rightster-Analytics and Rightster-Reporting.
• Linux service/scripts for log monitoring/rotation.
• DB modelling/design and data-load sql procedures/triggers.

Aug 2011 – Oct 2012 · 1 yr 2 mos · Bangalore

• Extension/Development of Detection Algorithms, Data-Structures being part of Research team at McAfee Labs Bangalore to increase targeted detection rate.
• Automated the interaction between Virtual Machine and Host Machine to analyse file behavior at run-time.
• Process-Explorer replicating run-time listing behavior of native task explorer.
• Presented the working of McAfee’s cloud product technology(Artemis) at National Institute of Technology – Tiruchirappalli (NIT-Trichy).