alok singhal

Software Engineer

Bengaluru, Karnataka, India11 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable cloud solutions.
  • Proven track record in optimizing software performance.
  • Strong background in machine learning applications.
Stackforce AI infers this person is a Cloud Computing and Software Engineering expert with a focus on scalable solutions.

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Skills

Core Skills

Cloud ComputingSoftware EngineeringCloud StorageEvent Processing

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache KafkaApache StormBlock storageCeleryData StructuresDjangoGoJavaKubernetesMQTTMachine LearningMulti-cloud supportMySQL

Experience

Google

Staff Software Engineer

May 2025Present · 10 mos · Bengaluru, Karnataka, India · On-site

  • Building Google Cloud Platform
Amazon Web Services (AWS)Machine LearningData StructuresAlgorithmsCloud ComputingSoftware Engineering

Lucidity

Principal Engineer

Apr 2022Apr 2025 · 3 yrs · Bengaluru, Karnataka, India · On-site

  • Designed and built a Windows Storage Autoscaler product from the ground up, driving its growth to $2M in revenue by optimizing performance, enhancing scalability,
  • Designed and implemented a plugin-based architecture for the product, enabling multi-cloud support and reducing new cloud integration time from 6 man-months to 3 man-months, accelerating feature delivery and scalability.
  • Proposed and designed an end-to-end testing pipeline, reducing testing time from 10 days to 4 hours and decreasing issues by 90%, significantly improving release efficiency and product stability.
  • Designed the product to support multiple environments across clouds as well as self hosted customer deployments.
  • Designed and implemented the first-of-its-kind Kubernetes CSI driver to autoscale provisioned volumes (both expansion and shrinking), conducting user research to define requirements and developing technical POCs to validate feasibility and implementation.
Block storageMachine LearningKubernetesMulti-cloud supportCloud StorageSoftware Engineering

Uber

Senior Software Engineer (L5)

Sep 2020Mar 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

  • Designed and implemented a metric ingestion pipeline for API Gateway observability, along with tooling to automatically generate alerts for newly onboarded endpoints, improving monitoring and incident response.
  • Developed a log ingestion pipeline for security and audit purposes, and optimized system efficiency to support peak throughput of 800K RPS, ensuring high availability and performance.

Swiggy

3 roles

SDE IV

Promoted

Oct 2019Sep 2020 · 11 mos

  • Lead the initiatives to create Platforms out of Collection and Carousel Service to support multiple business line use cases like FOOD, STORES etc.
  • Led the redesign of Catalog Ingestion and Availability services to improve availability and reliability.
  • Built core capability in Collection Service to enable experimentation on attributes like recommendation algorithms, filters, display properties etc.

Software Engineer III

Apr 2018Sep 2019 · 1 yr 5 mos

  • Led the re-architecture of Search & Discovery platform to ensure faster development iteration, better performance and fault tolerance.
  • Led the design and implementation of new Widget based home page of Swiggy which can handle 100 K concurrent users with personalized content and layouts. Designed and implemented Collection Service, Entity Service and City Service to handle 1M RPM peak throughput.

Software Engineer II

Feb 2017Mar 2018 · 1 yr 1 mo

  • Built a real time rule engine based on event processing using Storm and Kafka. It allows business team to define rules to govern the behavior of Vendor partners by sending rule based communications and actions.

Shadowfax

Lead Engineer

Jun 2015Jan 2017 · 1 yr 7 mos · Bangalore, India · On-site

  • Designed and implemented Backend Architecture to manage delivery fleet, merchant partners and real time deliveries.
  • Built E-commerce platform to handle inter city goods movement for e-commerce business and warehouse operations. Also led migration of legacy code base in a phased manned to the new platform seamlessly.

Opera solutions

Analytics Specialist

Jul 2014Jun 2015 · 11 mos · Noida Area, India

  • Helped build and maintain the Revenue Leakage platform, a solution used by hospitals to find and recover missing charges in patient accounts. Various Machine learning techniques like Decision trees, Logistic regression were used along with Ensemble models to further improve model accuracy.

Education

Indian Institute of Technology, Delhi

Btech + Master of Technology (MTech)

Jan 2009Jan 2014

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