Pawneet Singh

Software Engineer

Bengaluru, Karnataka, India10 yrs 3 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led modernization of systems for 18M+ users.
  • Engineered AI-powered internal assistants.
  • Drove platform migration enhancing performance.
Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on scalable architecture and AI-driven solutions.

Contact

LinkedIn

Skills

Core Skills

MicroservicesSystem ArchitectureSystem StabilityScalabilityFeature DevelopmentApi OptimizationUser ExperiencePerformancePlatform MigrationAutomationPerformance OptimizationData ScrapingCrm DevelopmentData ProcessingSearch OptimizationData RetrievalFull Stack Development

Other Skills

AWS Elastic BeanstalkAmazon CloudFrontAmazon DynamodbAmazon EC2Amazon RDSAmazon S3Amazon SQSAmazon VPCAmazon Web Services (AWS)Anthropic ClaudeArchitectureBootstrapCC++CSS

About

I’m a Staff Engineer & AI-Enabled Software Architect with close to a decade of experience designing scalable, reliable, and intelligent systems across fintech, media, and platform engineering domains. I specialize in microservices architecture, distributed systems, and AI-driven engineering enablement - bridging modern infrastructure with emerging technologies like LLMs, AIOps, and developer productivity tooling. At my current role, I’ve led modernization at scale - from decomposing monoliths serving 18M+ users and billions of transactions to building AI-powered internal assistants and automation frameworks using tools like Amazon Bedrock, Claude, and GitHub Copilot. I’m deeply passionate about helping teams ship faster, operate smarter, and build systems that evolve intelligently. Beyond code, I focus on mentoring engineers, driving cross-functional reliability initiatives, and enabling AI-first development workflows that improve both system performance and human productivity.

Experience

10 yrs 3 mos
Total Experience
3 yrs 5 mos
Average Tenure
4 yrs 7 mos
Current Experience

Coindcx

2 roles

Staff Software Engineer 2

Promoted

Oct 2022 – Present · 3 yrs 8 mos · On-site

  • System Decomposition & Migration
  • Orchestrated High-Level and Low-Level Design for systematic decomposition of a monolithic system into microservices, enhancing overall system architecture and scalability.
  • Executed large-scale user and data migration strategies during the transition from a monolithic system to microservices.
  • Migrated data for 18.5M users, including 950M wallet transactions and 2.72B orders (archival + migration).
  • Collaborated with the Data Engineering team to migrate 10B+ rows of non-user data, including candlestick and public datasets across DynamoDB and Postgres.
  • Led POCs for standardization initiatives.
  • Iris: System Scaling for Futures Product
  • Engineered Rate Limiting and Order Routing functionalities, reducing order rejections by 3%, optimizing fund utilization, and minimizing net positions across sub-accounts.
  • Resolved critical P0 issues, improving system stability and enabling seamless scalability to 16M+ users and $100M+ daily trading volume.
MicroservicesSystem ArchitectureData MigrationCollaboration

Staff Software Engineer

Nov 2021 – Oct 2022 · 11 mos · On-site

  • Feature Development
  • Led development of key product features including SIP, Earn, Futures, and On-Demand P&L reports, delivering advanced portfolio insights and performance metrics such as 1D and 1W returns.
  • Focused on scalable, data-driven implementations that enhanced transparency, engagement, and user experience across trading products.
  • Performance & Reliability
  • Optimized public APIs, reducing latency by ~30% through Cloudflare, Nginx, and mobile caching improvements, significantly lowering server load and improving response times.
  • Reduced Futures Read API latency by 50ms and decreased CPU and memory usage by 12% by implementing a write-through cache, replacing ORM with raw SQL queries, and eliminating unnecessary object marshalling.
  • Platform Engineering
  • Designed and implemented an in-house Remote Config Service, replacing Firebase to handle 100+ concurrent requests/sec reliably, improving configuration management and release flexibility.
  • Managed infrastructure migration from AWS Elastic Beanstalk (Amazon Linux 1) to Amazon Linux 2, ensuring improved security, compatibility, and maintainability across environments.
Feature DevelopmentAPI OptimizationInfrastructure Migration

Disney star

Assistant Engineering Manager

Feb 2020 – Nov 2021 · 1 yr 9 mos · Mumbai, Maharashtra, India · On-site

  • Led multiple ad-sales and pricing microservices, including Single Client Optimizer
  • and Sirius, improving automation and visibility across campaign workflows.
  • Developed Rails and Golang based rating services aggregating
  • daily/weekly/monthly TVR data from KYLIN cubes, serving as the foundation for
  • analytics and reporting.
  • Drove platform migration from AWS to GCP, introduced Elasticsearch for faster
  • queries, and led backend performance optimization efforts.
MicroservicesPlatform MigrationPerformance Optimization

Quickcompany.in

2 roles

Technical Lead

Promoted

Apr 2017 – Feb 2020 · 2 yrs 10 mos · Gurugram, Haryana, India

  • Designed AWS-based data-scraping architecture processing 85 M+ records/month using Scrapy.
  • Implemented Elasticsearch-driven search across Companies, Trademarks, Patents, and Legal Data, improving data retrieval speed and reliability.
  • Built a CRM system with event-driven email templates, lead-funnel tracking, and integrated communication (SMS, email, call logging).
  • Delivered real-time report generation using WKHTMLTOPDF, improving accessibility and turnaround time for internal teams.
Data ScrapingSearch OptimizationCRM Development

Full Stack Engineer

Feb 2016 – Mar 2017 · 1 yr 1 mo · Gurugram, Haryana, India

  • Managed all development phases, including requirements gathering, design, implementation, and maintenance.
  • Developed scalable and high-performance products while automating workflows and ETL operations.
  • Strategized and prioritized business needs to enhance product features effectively.
Full Stack Development

Education

Bhagwan Parshuram Institute of Technology

B.Tech — Computer science

Jan 2012 – Jan 2016

Pawneet Singh - Software Engineer | Stackforce