Architecting scalable solutions & pipelines.

I'm Mohd Kamran Tahir, a Senior Software Engineer specializing in Golang, Node.js, and AWS. I build efficient data pipelines and high-performance microservices.

Open to work

Experience

Dec 2024 - Present
India · Remote

Zeller

Senior Software Engineer
  • Developed an end-to-end analytics pipeline using AWS (API Gateway, Kinesis Firehose, Glue, S3, Athena), processing 100k+ events/minute.
  • Optimized data ingestion pipelines ensuring high scalability and performance.
GoAWSNode.jsMicroservices
Jul 2023 - May 2024
United States · Remote

Shiba Inu

Software Development Engineer 2
  • Implemented Ads and Analytics SDK to track events across multiple sites.
  • Designed campaign management microservices for advertisement configuration.
  • Optimized CI/CD pipelines and Dockerfiles, significantly decreasing build times.
TypeScriptReact.jsAWS LambdaCI/CDDocker
May 2022 - Jul 2023
Delhi, India · Remote

GoKwik

Back End Developer
  • Led design of partial payments feature, increasing client purchases by 20%.
  • Implemented Kafka queue system for reliable webhook consumption.
  • Migrated monolithic components to microservices architecture.
  • Pioneered one-click WhatsApp login used by 40M+ users.
KafkaRedisMongoDBPostgreSQLGolang
Jan 2021 - May 2022
Hyderabad, India · Remote

Deloitte

Full Stack Developer
  • Modernized legacy codebase by porting jQuery components to ReactJS.
  • Developed scalable solutions using AWS Lambdas.
  • Achieved 10x reduction in build times through optimization initiatives.
React.jsAWS LambdaDynamoDBSCSS

Featured Projects

LeapOCR

LeapOCR

Document AI Powered by the World's Best OCR Models

Live

Turn unstructured documents into structured intelligence with enterprise-grade accuracy. LeapOCR blends computer vision with language models to capture complex layouts, handwriting, and multilingual context.

  • Hybrid AI OCR Engine
  • JSON Schema Validation
  • Parallel Throughput
  • Real-time Job Monitoring
Precedentia

Precedentia

Intelligent Legal Research & Document Analysis

WIP

A context-aware AI assistant designed for legal professionals. Upload contracts, case files, and legal documents to ask complex questions, summarize clauses, and extract citations instantly.

  • Context-Aware Chat
  • Citation Extraction
  • Document Summarization
  • Secure Vault Storage

Expertise

With extensive experience in developing high-quality, scalable solutions, I focus on creating efficient data pipelines and optimizing CI/CD processes. My technical foundation spans full-stack development with a specialization in backend architecture.

Node.js & TypeScript
Go (Golang)
AWS Architecture
Microservices
Kafka & Event Streams
React.js & Frontend
CI/CD & Docker
SQL & NoSQL