Lokesh Chhaparwal

CTO

Gurugram, Haryana, India14 yrs 6 mos experience
Highly Stable

Key Highlights

  • Expert in building large-scale distributed systems.
  • Proven success in performance marketing with significant budgets.
  • Hands-on experience with advanced data processing technologies.
Stackforce AI infers this person is a highly skilled engineer in E-commerce and MarTech with expertise in distributed systems and performance marketing.

Contact

Skills

Core Skills

SecurityPerformance MarketingSearchData ProcessingInfrastructure

Other Skills

AWSAds and Performance Marketing AutomationAerospikeAlgorithmsAmazon Web Services (AWS)Apache KafkaApache PigApache SparkApache StormApplication MonitoringAuto-suggest FunctionalityAutomationBig Data AnalyticsCC++

About

- Built highly available, large-scale distributed systems, web services, service-oriented architecture, and security applications from scratch. - Managed performance marketing campaigns for Facebook and Google with budgets worth 10 MN+ daily. - Hands-on experience in implementing data processing pipelines using Hadoop MR and Spark. - Good experience in dev-sec-ops, prod-support, amazon web services, infrastructure cost optimization, and cloud migration.

Experience

Honasa consumer ltd.

Senior Vice President of Engineering

Dec 2024Present · 1 yr 3 mos · Gurugram, Haryana, India · On-site

Snapdeal | acevector group

6 roles

AVP, Head of Engineering

Oct 2023Nov 2024 · 1 yr 1 mo

  • * Led the engineering teams across domains like Android, iOS, Mobile website, and backend platforms.

Director of Engineering

Promoted

Feb 2021Sep 2023 · 2 yrs 7 mos

  • Led the Buyer Platform and Growth Initiatives
  • Led the teams for Search, Discovery, Ads, Digital Marketing Tech, Big data, Personalization, and Recommendations

Principal Engineer

Promoted

Apr 2018Jan 2021 · 2 yrs 9 mos

  • Security
  • Conceptualized the Security Service, to be used for encryption/ decryption of PII data at Snapdeal, slashing the fraud calls from ~2000 calls to ~50 calls per day.
  • Ads and Performance Marketing Automation
  • Implemented multi-tenant third-party adserver, to be used by multiple publishers to run Snapdeal ad campaign on their platforms.
  • Implemented rule-based multi-tenant marketing automation app for managing campaigns across platforms like Facebook, Google, Tiktok, Instagram.
  • Led the improvement of ads fill rate, relevancy and conversions across page flows like home page, search results, category listing pages and product detail pages.
  • Led the Mar-tech groundwork to enable a more tech-oriented approach to empower the in-house online marketing team.
  • Improved product indexer system for near real-time inventory and price updates to marketing platforms, resulting in reduction of the sold-out and discontinued product visits from ~8% to ~0.5%.
  • Optimized the catalog size on performance marketing platforms and reduced it from ~90 MN to ~1 MN.
  • Improved the product feed quality index for affiliate channels from ~60% to ~95%.
  • Search, Discovery, Personalization and Recommendations
  • Implemented search personalization, guided search, auto complete, search as you type, similar and recommended products feed resulting in 20% improvement in conversion.
  • Led the migration of search SOLRs from Master/Slave architecture to Cloud resulting in ~25% infra cost reduction keeping the search metrics inline.
SecurityAds and Performance Marketing AutomationSearch, Discovery, Personalization and RecommendationsPerformance Marketing

Lead Software Engineer

Promoted

Aug 2015Mar 2018 · 2 yrs 7 mos

  • Led the Search Infrastructure cost optimization and performance improvement, migration from AWS to Cirrus (Snapdeal in-house cloud).
  • Contributor to search relevance algorithm for keyword search, rank and display most relevant products to users.
  • Contributed to implementation of rule-based generation of auto suggestions to predict user queries while typing.
  • Implemented real-time logger to track users' views/clicks stream for real-time analytics and events persistence.
  • On the fly product recommender using users' submitted preferences.
Search Infrastructure OptimizationSearch Relevance AlgorithmReal-time AnalyticsSearchData Processing

Senior Software Engineer

Promoted

Apr 2014Jul 2015 · 1 yr 3 mos

  • Contributor to the Search as a service, developing Auto-suggest functionality and tuning relevance of results.
  • Hands-on experience in large-scale data processing, search query and product clicks processing thereby improving the relevancy algorithm.
  • Conceptualized and implemented SOLR shard resolver, routing products to shard on basis of category.
  • Implemented the product indexer system and scaled it making it capable to index 1MN+ products per hour.
Search as a ServiceAuto-suggest FunctionalityData ProcessingSearch

Software Engineer

Sep 2011Mar 2014 · 2 yrs 6 mos

  • Implemented ERP system for the finance team, generating order/payment reports for the sellers.
  • Contributor to the Order Management and Refund System and isolated it, making it an independent SOA component, revamped the architecture to support multiple payments and implemented several features like pre-booking, partial payments for an order.
  • Developer on various components of Snapdeal.com and its admin website. Core team member responsible for building first phase of m.snapdeal.com WAP site.

Nvidia

Embedded Multimedia Trainee

Jan 2011Jul 2011 · 6 mos · Bengaluru, Karnataka, India

  • Worked with the Multimedia Team at Nvidia.
  • Contributor to the SBC codec for Nvidia Tegra processor series and signal activity detection algorithm for Bluetooth applications.

Education

Indian Institute Of Information Technology Allahabad

Bachelor of Technology (BTech) — Information Technology

Jan 2007Jan 2011

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