Abhijit Sen

Engineering Manager

Hyderabad, Telangana, India25 yrs experience
Highly StableAI Enabled

Key Highlights

  • Led DevOps for Apple's Machine Learning infrastructure.
  • Achieved 100x traffic scalability for fraud detection.
  • Expert in optimizing cloud infrastructure costs.
Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on DevOps and Machine Learning.

Contact

Skills

Core Skills

DevopsMachine LearningSite Reliability EngineeringFinancial OperationsCloud InfrastructureData OperationsData Management

Other Skills

APIAPIARYAWSAWS CloudFormationAmazon EKSAnalyticsAnsibleApache AvroArtificial Intelligence (AI)BashBig DataCloud Cost ManagementCloud Cost OptimizationCross-functional Team LeadershipData Integration

About

Spearheading Apple's Applied Machine Learning infrastructure, my role as DevOps Manager encompasses leading a dynamic team and ensuring our on-premise and AWS cloud platforms robustly support Machine Learning workflows. Our mission is to optimize infrastructure costs while maintaining high performance and availability. With a background directing Paytm's DevOps, my expertise lies in managing platforms for high transaction processing, achieving scale, and ensuring zero downtime. Collaboration is key; I build strong relationships across teams and with product partners to foster innovation and drive optimized outcomes.

Experience

Apple

Engineering Manager - Applied Machine Learning

Aug 2022Present · 3 yrs 7 mos · Hyderabad, Telangana, India · On-site

  • Managing Engineering team for DevOps, ML platform. Optimizing infrastructure for real-time data analysis Fraud Decissioning across all Lines of Business.
  • Managing SRE team for Fraud Detection Platform Infrastructure utilizing ML, achieving 100x traffic scalability during peak events. Scale as per traffic requirement with performance first approach.
  • Spearheaded financial observability and cost-effectiveness through FinOps initiatives, reducing over-provisioning and enabling predictive scaling. Optimises the cloud cost with showback and chargeback and figure out data driven optimisation and minimise over provisioning.
  • Enhanced system reliability and compliance in collaboration with DevOps and SecOps teams, achieving high fault tolerance and no latency spikes.
  • Streamlined operations via automation, minimizing manual setup involvement and improving team efficiency in infrastructure management.
  • Developed and maintained high-availability solutions with Big Data Datalake, Teradata DWH, Cassandra DB, ensuring load balancing and no single point of failure in didtributed systems.
  • Fostered team innovation and architectural thinking, focusing on solutioning and automation to enhance platform's scalability and reliability. Managed blend of Development and DevOps within engineering team
Cross-functional Team LeadershipDevSecOpsFinancial OperationsSolution ImplementationDevOpsMachine Learning

Paytm

Director of Engineering, DevOps

Jan 2021Aug 2022 · 1 yr 7 mos · Noida, Uttar Pradesh, India

  • Director of Engineering at Paytm, overseeing the product of - Fastag, Wallet, QR, and Anti Money Laundering, KYC.
  • Specialising in data operations, observability, DevOps, SecOps, FinOps, SRE, and cloud infrastructure migration and optimization.
  • Managing a team responsible for Paytm's projects and platform infrastructure in Cloud and OnPremise Data Centre.
  • Collaborating with DevOps, SecOps, and FinOps teams to ensure optimal and cost-effective infrastructure on AWS cloud
  • Architecting design for provisioning infrastructure and planning data movement efficiently with zero downtime
  • Utilizing technologies like Kafka, Debiziun, ElasticSearch, Logstash, Kibana, MySQL with masterslave setup, Grafana, Datadog, Prometheus, Kubernetes, EKS cluster, Jenkins-github integration, and rundeck, terraform, ansible for automation
  • Implementing Platform | Infrastructure As A Code (IaaC, PaaC) to streamline processes and improve efficiency
  • Establishing Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to measure and reduce engineering toils
  • Managing and mentoring a team of 25 members, coordinating with senior management, and setting up reliable and optimal environment as per project plan
Cross-functional Team LeadershipSRESolution ArchitectureDevSecOpsDevOpsCloud Infrastructure

Expedia group

Data Platform DevOps Development and Architecture

Apr 2013Jan 2021 · 7 yrs 9 mos · Gurugram, Haryana, India

  • Working into AI and Data Team, managing Data Streams, hosted on-premise and on the cloud, into the huge distribution of clusters, yet readily available with high availability. Providing Data Operations Solutioning as part of SRE Team provisioning SRE metrics of data - availability, latency, quality, freshness. Making Data Pipeline simpler and reliable accumulating mountains of data from hundreds of sources. Providing ApplicationPlatform Monitoring (APM) to visualize data indicators over the pipeline. Use of RESTful APIs to stream data over Kafka-connect. Evolving AI into Platform Operations, breaking silos of DevOps with Site Reliability Engineering, reducing Engineering Toils.
SREData StreamingBig DataData ManagementData OperationsSite Reliability Engineering

Ibm

Technical Lead

Jun 2009Mar 2013 · 3 yrs 9 mos · United States · On-site

  • IBM India Private Limited is the Indian subsidiary of IBM, engaged into Service industry, providing Solutions to companies worldwide on several technologies.
  • Worked for esteemed clients like Walmart, Cardinal Health and WalGreens to provide end-to-end solution on Enterprise Datawarehouse implementation for their processes both onsite in US and off site in Kolkata, India. Have visibility all through the process starting from requirement analysis with client, preparing tech specs, developing code, integration, testing with user acceptance and deploying into production. Contributed with my knowledge into Datawarehouse architecture building concrete architecture for integration of measures and details into facts and dimensional tables. Provided optimal solutions on analytics querying huge datasets.

United health group

Software Engineer

Feb 2008Jul 2009 · 1 yr 5 mos · Gurgaon, India and Connecticut, USA

  • UnitedHealth Group is an innovative leader in the health and well-being industry. I was working for its Ingenix Business Unit as a member of the Data Warehousing team in UnitedHealth Analytics- GALAXY.
  • Work in understanding the concepts within the existing data warehouse and create specifications for the requirements for its maintenance and optimization. Developed several DataStage jobs and shell scripts for the ETL activities of the Data Warehouse. Have end to end exposure on several subject areas of the Data warehouse and contributed in development of the ETL process in it.

Cegedim dendrite

Software Engineer

Jan 2005Jan 2008 · 3 yrs · Bengaluru, Karnataka, India

  • Cegedim-Dendrite is a product development company working on pharmaceuticals domain serving all dominating Pharma companies worldwide with its CRM Solution
  • Worked as developer creating several Extract Transform Load Jobs in DataStage as per the client’s requirements. Tested the code developed and matched it with the requirements and optimize the solution for better performance. Worked in ETL tool of DataStage and oracle database. Documented the complete process from Requirement Analysis Document, Unit Test Plan, Design Documents, Implementation Plan as per standard templates. Interacted with clients, peers and onsite counterpart and discussed concerns and progress of the task.

Git belgaum

Student

Jan 2001Jan 2005 · 4 yrs

  • Bachelor of Engineering in Computer Science

Education

Gogte Institute Of Technology

BE — Computer Science

Jan 2001Jan 2005

Holy Cross School, Bokaro

Senior Secondary — Science

Jan 1996Jan 1998

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