Kapil Malik

Software Engineer

Noida, Uttar Pradesh, India19 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable distributed computing platforms.
Strong background in machine learning and data analytics.
Passionate advocate for workplace inclusivity.

Stackforce AI infers this person is a SaaS expert with a focus on data-driven solutions and inclusivity.

Contact

Skills

Core Skills

Apache SparkData ProcessingTechnical ProductsEngineering PracticesFraud PreventionMachine LearningDistributed SystemsDistributed ComputationData Analytics

Other Skills

Digital ExperiencesAdobe Experience CloudAmazon RelayRisk AssessmentData VisualizationGraphXMLLibScalaScalable PlatformsAuto-PersonalizationLangChainArtificial Intelligence (AI)Python (Programming Language)Large Language Models (LLM)Generative AI Tools

About

Software developer having experience in building scalable Distributed Computing platforms, Machine Learning, Data Mining and Analytics, Enterprise Software Development and Enterprise Content Management Systems. Also passionate about making professional workplaces more inclusive. Specialties: AWS stack, Apache Spark, Apache Mesos, Hadoop, J2EE, J2SE, Flex, Spring, JavaScript, Enterprise Content Management.

Experience

19 yrs 6 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 7 mos

Current Experience

Adobe

Sr. Computer Scientist II

Oct 2022 – Present · 3 yrs 7 mos · Noida, Uttar Pradesh, India

Building platform and smart products to work with data at scale, powering digital experiences for customers across the globe on Adobe Experience Cloud.

Apache SparkData ProcessingDigital ExperiencesAdobe Experience Cloud

Amazon

Sr. Developer

Jul 2017 – Oct 2022 · 5 yrs 3 mos · Gurgaon, India

Part of Amazon Relay, building technical products transforming the world of truckers and transportation carriers at scale. Architected Relay loadboard and driven technical designs and established engineering practices across multiple teams and products as a tech leader. In addition, served as program lead for Women@Amazon India, self-motivated affinity group aimed at making Amazon a more inclusive place.

Technical ProductsEngineering PracticesAmazon Relay

Snapdeal

2 roles

Director

Apr 2017 – Jul 2017 · 3 mos · Gurgaon, India

Buyer and Seller Fraud Prevention
Worked on risk assessment use case (return fraud) and its various legs -
Buyer and seller cluster detection and visualization via co-occurence graphs in Spark GraphX
Aggregating user and cluster level transactional metrics
Consolidating buyer, product, seller, location level statistics to bring out abnormality
Risk prediction using supervised ML - via Spark ML and XGBoost
Technologies : Apache Spark, GraphX, MLLib, Scala, Zeppelin, D3

Fraud PreventionRisk AssessmentData VisualizationMachine Learning

Sr. Principal Engineer

Dec 2015 – Mar 2017 · 1 yr 3 mos · Gurgaon, India

Data Platform
Architect, mentor in building scalable, distributed data processing platform for multi-tenant, omni-channel data. Allows for batch and interactive querying over terabytes of production data in near real-time.
Technologies : Apache Spark, Spark SQL, Spark Job Server, iPython / Jupyter, Zeppelin, J2EE, Scala, Python, Spring

Data ProcessingScalable PlatformsDistributed Systems

Adobe systems

3 roles

Computer Scientist II

Promoted

Jul 2012 – Dec 2015 · 3 yrs 5 mos · Noida Area, India

Worked on Compute Platform as part of Digital Marketing Business Unit.
Distributed computation platform to run heterogeneous workloads in a multi-tenant environment achieving cluster efficiency and performance.
Technologies : Apache Mesos, Apache Spark, Docker, Airflow
Worked on Digital Marketing auto-insights prototype.
Scalable distributed tool to auto-generate interesting user segments from analytics data based on different metrics periodically.
Technologies : Apache Spark, GraphX, Scala
Worked on Adobe Target Auto-Personalization
Built generic scalable distributed platform to run workflows
Worked on auto-personalization workflow and reporting
Technologies : Hadoop MR, HBase, Mahout, Oozie
Worked on Adobe LiveCycle ES4 - HTML Workspace