Darshan Golghate

Software Engineer

Delhi, India6 yrs 11 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Designed scalable cloud systems at Samsung.
  • Led successful Galaxy Badge project delivery.
  • Reduced AWS costs by 50% through optimization.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Contact

Skills

Core Skills

Cloud ArchitectureBackend DevelopmentCybersecurityArtificial IntelligenceQuantitative FinanceAlgorithmic Trading

Other Skills

Data MigrationCode DesignAWS LambdaKinesis FirehoseDynamoDBCognitoTerraformJavaScriptOIDCPySparkPythonProblem SolvingLow LatencyConfiguration ManagementVirtual Machines

About

I hold a B.Tech in Mathematics and Computing from IIT Delhi, which has strengthened my analytical and problem-solving abilities. At Samsung, I’ve designed and deployed robust, scalable systems in cloud environments that are live in production. My expertise spans cloud architecture, serverless technologies, and backend development. I approach complex challenges like puzzles, always seeking innovative solutions to drive performance improvements and system efficiency.

Experience

6 yrs 11 mos
Total Experience
6 yrs 11 mos
Average Tenure
6 yrs 11 mos
Current Experience

Samsung r&d institute

Lead Software Engineer

Jul 2019Present · 6 yrs 10 mos

  • Inframanagement:
  • Designed and implemented governance, security, and cost-optimization automation across all Samsung cloud accounts, driving significant operational efficiencies.
  • Developed a comprehensive Resource Management Automation framework using Infrastructure as Code (IAC), streamlining the management of nested stack sets, new accounts, and region onboarding processes.
  • Galaxy Store Badges(Samsung Research America) (Present)
  • Galaxy Badge Project:
  • Leading a team of engineers successful delivery of the Galaxy Badge project for Samsung Research America.
  • Spearheaded the deployment of the Samsung Referrer Library on Maven, enabling seamless integration for client applications.
  • Engineered a Smart Banner Service, which dynamically displays banners on client pages during page load, supporting direct in-app downloads through a custom JavaScript solution.
  • Currently overseeing the development of encryption and decryption mechanisms for the Samsung Developer Forum (Discourse) by creating a custom plugin for encryption and decryption overriding its OIDC plugin to ensure secure communication and data integrity.
  • Developed highly-scalable, highly-available and secure shortURL conditional redirect service that on top of generating shortURL also does the conditional redirect based on user device type(Samsung,Non-Samsung & Desktop)
  • Increased performance by 20-fold using server less architecture from serving 100 RPS to 2000 RPS for redirect API
  • Devised a loosely-coupled analytical engine(tracking clicks) than can digest 5,000 records/second with 100% data delivery
  • Reduced AWS costing by 50% by optimizing lambda code runtime from 450 ms->100 ms and DB query caching
  • Tech Stack: AWS Lambda, Kinesis Firehose, DynamoDB(NoSQL), Cognito(Oauth 2.0), Contributor Insights, Cloudwatch, Athena, Parameter Store, API gateway, DynamoDB Accelerator(DAX), S3, Glue, PagerDuty, Terraform
Data MigrationCode DesignAWS LambdaKinesis FirehoseDynamoDBCognito+3

Edelweiss financial services

Process Excellence Intern

May 2018Jul 2018 · 2 mos

  • Devised Chatbot using NLP concepts, to assist customer service using python library Chatterbot and flask framework
  • Built exhaustive vocabulary for Chatbot to serve top 20 QRC requests, reducing burden from customer service by 40%
PySparkPythonArtificial Intelligence

Worldquant research private limited

Quantitative Research Consultant

Dec 2017Jan 2018 · 1 mo

  • Developed Quantitative Trading strategies for US Equity market using Websim, an online modeling platform
  • Generated Statistical Arbitrage models to predict future price movement of securities in Equity based asset class
  • Incorporated 'Volume Precedes Price' approach for early detection of market signals in US top 3000 Universe Received part time Research Consultant offer; modeled 25+ alpha strategies so far, all deployed in production at WQ
Problem SolvingAlgorithmic TradingQuantitative Finance

Qts capital management,llc

Quantitative Research Associate

May 2017Jul 2017 · 2 mos

  • Converted trade sequence, containing ms timestamps, to a seq. with unique timestamps suitable for ML processing using VWAP
  • Implemented tick imbalance bars from VWAP-adjusted sequences using exponentially weighted avg. of tick rule sums
Low LatencyAlgorithmic Trading

Education

Indian Institute of Technology, Delhi

B.Tech — Mathematics & Computing Institute

Jan 2019Jan 2019

Christu Jyoti Convent School

AISSE — CBSE

Model Public School

HSSC — MPBSE

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